2023
Object Detection with Self-Supervised Scene Adaptation Z. Zhang, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
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- HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering D. Pham, P. Tran, A. Tran, C. Pham, R. Nguyen, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
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- Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation S. Ghosh, T. Aggarwal, M. Hoai, N. Balasubramanian. Proceedings of Conference of the European Chapter of the Association for Computational Linguistics, 2023.
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- Token Sparsification for Faster Medical Image Segmentation Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna. International Conference on Information Processing in Medical Imaging, 2023.
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- Precise location matching improves dense contrastive learning in digital pathology Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras. International Conference on Information Processing in Medical Imaging, 2023.
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- Conditional Generation from Unconditional Diffusion Models using Denoiser Representations Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras. arXiv preprint, 2023.
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- Computational Pathology: A Survey Review and The Way Forward Mahdi S Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Danial Hasan, Xingwen Li, Taehyo Kim, Haochen Zhang, Theodore Wu, Kajanan Chinniah, Sina Maghsoudlou, Ryan Zhang, Stephen Yang, Jiadai Zhu, Lyndon Chan, Samir Khaki, Andrei Buin, Fatemeh Chaji, Ala Salehi, Alejandra Zambrano Luna, Bich Ngoc Nguyen, Dimitris Samaras, Konstantinos N Plataniotis. arXiv preprint, 2023.
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- Few Shot Hematopoietic Cell Classification Vu Nguyen, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R Gupta, Joel Saltz. Medical Imaging with Deep Learning, 2023.
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- Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R Gupta, Tahsin Kurc, Luisa Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel Saltz, Chao Chen. Medical Imaging with Deep Learning, 2023.
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- S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces Haoyu Wu, Alexandros Graikos, Dimitris Samaras. arXiv preprint, 2023.
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- Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras. arXiv preprint, 2023.
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- Predicting Human Attention using Computational Attention Z Yang, S Mondal, S Ahn, G Zelinsky, M Hoai, D Samaras. arXiv preprint, 2023.
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- Flame-in-nerf: Neural control of radiance fields for free view face animation ShahRukh Athar, Zhixin Shu, Dimitris Samaras. IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2023.
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- AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction A Chatziagapi, D Samaras. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
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- Topology-Guided Multi-Class Cell Context Generation for Digital Pathology Shahira Abousamra, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
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- Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention Sounak Mondal, Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Gregory Zelinsky, Minh Hoai. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
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- Zero-Shot Object Counting Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
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- Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection Jingyi Xu, Hieu Le, Dimitris Samaras. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
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- LipNeRF: What is the right feature space to lip-sync a NeRF Aggelina Chatziagapi, ShahRukh Athar, Abhinav Jain, Rohith Mysore Vijaya Kumar, Vimal Bhat, Dimitris Samaras. IEEE International Conference on Automatic Face and Gesture Recognition, 2023.
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- Patch-level Gaze Distribution Prediction for Gaze Following Qiaomu Miao, Minh Hoai, Dimitris Samaras. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023.
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- CCTV-Gun: Benchmarking Handgun Detection in CCTV Images Srikar Yellapragada, Zhenghong Li, Kevin Bhadresh Doshi, Purva Makarand Mhasakar, Heng Fan, Jie Wei, Erik Blasch, Haibin Ling. Preprint, 2023.
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- Dynamic 3D imaging of cerebral blood flow in awake mice using self supervised-learning-enhanced optical coherence Doppler tomography Yingtian Pan, Kicheon Park, Jiaxiang Ren, Nora D. Volkow, Haibin Ling, Alan P. Koretsky, Congwu Du. Communications Biology, 2023.
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- Backdoor Cleansing with Unlabeled Data Lu Pang, Tao Sun, Haibin Ling, Chao Chen. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2023.
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- The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector Caixia Zhou, Yaping Huang, Mengyang Pu, Qingji Guan, Li Huang, Haibin Ling. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2023.
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- CompenHR: Efficient Full Compensation for High-resolution Projector Yuxi Wang, Haibin Ling, Bingyao Huang. IEEE Conf. on Virtual Reality and 3D User Interfaces (IEEE VR), 2023.
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- Domain Adaptation with Adversarial Training on Penultimate Activations Tao Sun, Cheng Lu, Haibin Ling. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2023.
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- TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking Peng Chu, Jiang Wang, Quanzheng You, Haibin Ling, Zicheng Liu. IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.
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- ARCHIE++: A Cloud-enabled Framework for Conducting AR Usability Testing Sarah Lehman, Semir Elezovikj, Haibin Ling, Chiu C. Tan. IEEE Trans. on Visualization and Computer Graphics (T-VCG), 2023.
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- Cyclic Differentiable Architecture Search Hongyuan Yu, Houwen Peng, Hao Du, Jianlong Fu, Yan Huang, Liang Wang, Haibin Ling. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2023.
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- Consistency and Diversity Induced Human Motion Segmentation Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2023.
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2022
- Gradient Boosting Decision-Tree-Based Algorithm With Neuroimaging for Personalized Treatment in Depression F. Ali, K. Wengler, X. He, M. Hoai, R. Parsey, C. DeLorenzo. Neuroscience Informatics., 2022.
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- From Within to Between: Knowledge Distillation for Cross Modality Retrieval V. Tran, N. Balasubramanian, M. Hoai. Asian Conference on Computer Vision (ACCV), 2022.
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- Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis B. Tran, S. Hua, A. Tran, M. Hoai. Asian Conference on Computer Vision (ACCV)., 2022.
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- Exemplar Free Class Agnostic Counting V. Ranjan, M. Hoai. Asian Conference on Computer Vision (ACCV)., 2022.
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- Few-Shot Object Counting and Detection T. Nguyen, C. Pham, K. Nguyen, M. Hoai. European Conference on Computer Vision (ECCV)., 2022.
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- Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild M. Huang, S. Narasimhaswamy, S. Vazir, H. Ling, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)., 2022.
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- Whose Hands are These? Hand Detection and Hand-Body Association in the Wild S. Narasimhaswamy, T. Nguyen, M. Huang, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)., 2022.
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- Local Learning on Transformers via Feature Reconstruction Priyank Pathak, Jingwei Zhang, Dimitris Samaras. arXiv preprint, 2022.
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- Behavioral Markers of Psychotic Disorders: Using Artificial Intelligence to Detect Nonverbal Expressions in Video Elizabeth A Martin, Wenxuan Lian, Joshua R Oltmanns, Katherine Jonas, Dimitris Samaras, Michael Hallquist, Camilo Ruggero, Sean Clouston, Roman Kotov. PsyArXiv, 2022.
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- Target-Absent Human Attention Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory Zelinsky, Minh Hoai, Dimitris Samaras. European Conference on Computer Vision (ECCV)., 2022.
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- Learning an Isometric Surface Parameterization for Texture Unwrapping Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras. European Conference on Computer Vision (ECCV)., 2022.
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- Taking a Respite from Representation Learning for Molecular Property Prediction Jianyuan Deng, Zhibo Yang, Hehe Wang, Iwao Ojima, Dimitris Samaras, Fusheng Wang. arXiv preprint, 2022.
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- Gigapixel whole-slide images classification using locally supervised learning Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras. Medical Image Computing and Computer Assisted Intervention, 2022.
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- Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer Souradeep Chakraborty, Rajarsi Gupta, Ke Ma, Darshana Govind, Pinaki Sarder, Won-Tak Choi, Waqas Mahmud, Eric Yee, Felicia Allard, Beatrice Knudsen, Gregory Zelinsky, Joel Saltz, Dimitris Samaras. Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022.
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- HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization Emilie Mathian, Huidong Liu, Lynnette Fernandez-Cuesta, Dimitris Samaras, Matthieu Foll, Liming Chen. arXiv preprint, 2022.
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- Learning From Documents in the Wild to Improve Document Unwarping Ke Ma, Sagnik Das, Zhixin Shu, Dimitris Samaras. ACM SIGGRAPH 2022 Conference Proceedings, 2022.
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- Diffusion models as plug-and-play priors Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras. arXiv preprint, 2022.
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- Learning Probabilistic Topological Representations Using Discrete Morse Theory Xiaoling Hu, Dimitris Samaras, Chao Chen. arXiv preprint, 2022.
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- Learning Probabilistic Structural Representation for Biomedical Image Segmentation Xiaoling Hu, Dimitris Samaras, Chao Chen. arXiv e-prints, 2022.
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- Predicting visual attention in graphic design documents Souradeep Chakraborty, Zijun Wei, Conor Kelton, Seoyoung Ahn, Aruna Balasubramanian, Gregory J Zelinsky, Dimitris Samaras. IEEE Transactions on Multimedia, 2022.
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- A Novel Framework for Quantification of Immune Cell Density and Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment Mahmudul Hasan, Jakub R Kaczmarzyk, David Paredes, Lyanne Oblein, Jaymie Oentoro, Shahira Abousamra, Michael Horowitz, Dimitris Samaras, Chao Chen, Tahsin Kurc, Kenneth R Shroyer, Joel Saltz. arXiv preprint, 2022.
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- A convolutional neural network architecture designed for the automated survey of seabird colonies Hieu Le, Dimitris Samaras, Heather J Lynch. Remote Sensing in Ecology and Conservation, 2022.
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- Visual attention analysis of pathologists examining whole slide images of Prostate cancer Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J Zelinsky, Joel H Saltz, Dimitris Samaras. IEEE International Symposium on Biomedical Imaging (ISBI), 2022.
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- Self pre-training with masked autoencoders for medical image analysis Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna. arXiv preprint, 2022.
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- Weighting the factors affecting attention guidance during free viewing and visual search: The unexpected role of object recognition uncertainty Souradeep Chakraborty, Dimitris Samaras, Gregory J Zelinsky. Journal of Vision, 2022.
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- Deep learning-based mapping of tumor infiltrating lymphocytes in whole slide images of 23 types of cancer Shahira Abousamra, Rajarsi Gupta, Le Hou, Rebecca Batiste, Tianhao Zhao, Anand Shankar, Arvind Rao, Chao Chen, Dimitris Samaras, Tahsin Kurc, Joel Saltz. Frontiers in oncology, 2022.
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- Lung swapping autoencoder: Learning a disentangled structure-texture representation of chest radiographs Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna. arXiv preprint, 2022.
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- Artificial intelligence in drug discovery: applications and techniques Jianyuan Deng, Zhibo Yang, Iwao Ojima, Dimitris Samaras, Fusheng Wang. Briefings in Bioinformatics, 2022.
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- Characterizing target-absent human attention Yupei Chen, Zhibo Yang, Souradeep Chakraborty, Sounak Mondal, Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory Zelinsky. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022.
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- Swift: Adaptive video streaming with layered neural codecs Mallesham Dasari, Kumara Kahatapitiya, Samir R Das, Aruna Balasubramanian, Dimitris Samaras. USENIX Symposium on Networked Systems Design and Implementation (NSDI 22), 2022.
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- An expandable informatics framework for enhancing central cancer registries with digital pathology specimens, computational imaging tools, and advanced mining capabilities David J Foran, Eric B Durbin, Wenjin Chen, Evita Sadimin, Ashish Sharma, Imon Banerjee, Tahsin Kurc, Nan Li, Antoinette M Stroup, Gerald Harris, Annie Gu, Maria Schymura, Rajarsi Gupta, Erich Bremer, Joseph Balsamo, Tammy DiPrima, Feiqiao Wang, Shahira Abousamra, Dimitris Samaras, Isaac Hands, Kevin Ward, Joel H Saltz. Journal of Pathology Informatics, 2022.
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- Hierarchical proxy-based loss for deep metric learning Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022.
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- Hidden in Plain Sight: Exploring Privacy Risks of Mobile Augmented Reality Applications Sarah Lehman, Kunal Kolhe, Abrar S. Alrumayh, Haibin Ling, Chiu C. Tan. ACM Trans. on Privacy and Security (TOPS), 2022.
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- SwinTrack: A Simple and Strong Baseline for Transformer Tracking Liting Lin*, Heng Fan*, Zhipeng Zhang, Yong Xu, Haibin Ling (* equal contribution). Conf. on Neural Information Processing Systems (NeurIPS), 2022.
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- GTCaR: Graph Transformer for Camera Re-localization Xinyi Li, Haibin Ling. In Proc. of European Conference on Computer Vision (ECCV), 2022.
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- Expanding Language-Image Pretrained Models for General Video Recognition Bolin Ni, Houwen Peng, Minghao Chen, Songyang Zhang, Gaofeng Meng, Jianlong Fu, Shiming Xiang, Haibin Ling. In Proc. of European Conference on Computer Vision (ECCV), 2022.
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- Prior Knowledge Guided Unsupervised Domain Adaptation Tao Sun, Cheng Lu, Haibin Ling. In Proc. of European Conference on Computer Vision (ECCV), 2022.
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- Forward Propagation, Backward Regression and Pose Association for Hand Tracking in the Wild Mingzhen Huang, Supreeth Narasimhaswamy, Saif Vazir, Haibin Ling, Minh Hoai. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
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- EDTER: Edge Detection with Transformer Mengyang Pu, Yaping Huang, Yuming Liu, Qingji Guan, Haibin Ling. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
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- Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography Jiaxiang Ren, Kicheon Park, Yingtian Pan, Haibin Ling. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
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- Safe Self-Refinement for Transformer-based Domain Adaptation Tao Sun, Cheng Lu, Tianshuo Zhang, Haibin Ling. IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
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- SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers Bingyao Huang, Haibin Ling. IEEE Conf. on Virtual Reality and 3D User Interfaces (IEEE VR), 2022.
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- Structural Landmarking and Interaction Modelling: A SLIM Network for Graph Classification Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2022.
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- End-to-end orientation estimation from 2D cryo-EM images Ruyi Lian, Bingyao Huang, Liguo Wang, Qun Liu, Yuewei Lin, Haibin Ling. Acta Crystallographica Section D - Structural Biology, 2022.
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- Efficient Deterministic Search with Robust Loss Functions for Geometric Model Fitting Aoxiang Fan, Jiayi Ma, Xingyu Jiang, Haibin Ling. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2022.
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- Detection and Tracking Meet Drones Challenge Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, Haibin Ling. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2022.
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- Salient Object Detection in the Deep Learning Era: An In-Depth Survey W. Wang, Q. Lai, H. Fu, J. Shen, H. Ling, R. Yang. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2022.
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- End-to-end Full Projector Compensation Bingyao Huang, Tao Sun, Haibin Ling. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2022.
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- TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, Haibin Ling. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2022.
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- U2Fusion: A Unified Unsupervised Image Fusion Network Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, Haibin Ling. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2022.
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2021
- Exemplar-Based Early Event Prediction in Video Z. Zhang, F. M. Koraishy, M. Hoai. Proceedings of British Machine Vision Conference (BMVC), 2021.
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- Learning To Count Everything V. Ranjan, U. Sharma, T. Nguyen, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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- Progressive Semantic Segmentation C. Huynh, A. Tran, K. Luu, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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- Dictionary-guided Scene Text Recognition N. Nguyen, T. Nguyen, V. Tran, T. Tran, T. Ngo, T. Nguyen, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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- Explore Image Deblurring via Encoded Blur Kernel Space P. Tran, A. Tran, Q. Phung, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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- Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer T. Nguyen, A. Tran, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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- Knowledge Distillation for Human Action Anticipation Recognition V. Tran, Y. Wang, Z. Zhang, M. Hoai. IEEE International Conference on Image Processing (ICIP), 2021.
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- Progressive Knowledge Distillation for Early Action Recognition V. Tran, N. Balasubramanian, M. Hoai. IEEE International Conference on Image Processing (ICIP), 2021.
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- Self-controlling photonic-on-chip networks with deep reinforcement learning N. Do, D. Truong, D. Nguyen, M. Hoai, C. Pham. Scientific Reports, 2021.
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- Short and Long-term Recovery after Moderate or Severe Acute Kidney Injury in patients with and without COVID-19 S. Sun, R. R. Annadi, I. Chaudhri, K. Munir, J. Hajagos, J. Saltz, M. Hoai, S. K. Mallipattu, R. Moffit, F. M. Koraishy. Kidney360, 2021.
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- Supervoxel Attention Graphs for Long-Range Video Modeling Y. Wang, G. Bertasius, T. Oh, A. Gupta, M. Hoai, L. Torresani. Winter Conference on Applications of Computer Vision (WACV), 2021.
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- Adaptive Streaming of 360-Degree Videos with Reinforcement Learning S. Park, M. Hoai, A. Bhattacharya, S. R. Das. Winter Conference on Applications of Computer Vision (WACV), 2021.
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- Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images X. Huang, S. Jamonnak, Y. Zhao, B. Wang, M. Hoai, K. Yager, W. Xu. IEEE Transactions on Visualization and Computer Graphics, 2021.
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- SIDER: single-image neural optimization for facial geometric detail recovery Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras. International Conference on 3D Vision (3DV), 2021.
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- CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han. arXiv preprint, 2021.
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- Physics-based shadow image decomposition for shadow removal Hieu Le, Dimitris Samaras. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
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- Radiologically defined tumor-habitat adjacency as a prognostic biomarker in glioblastoma Xuan Xu, Dimitris Samaras, Prateek Prasanna. Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.
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- Temporal feature warping for video shadow detection Shilin Hu, Hieu Le, Dimitris Samaras. arXiv preprint, 2021.
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- Localization in the crowd with topological constraints Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen. Proceedings of the AAAI Conference on Artificial Intelligence, 2021.
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- Modeling Deep Learning Based Privacy Attacks on Physical Mail Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling. Proceedings of the AAAI Conference on Artificial Intelligence, 2021.
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- COCO-Search18 fixation dataset for predicting goal-directed attention control Yupei Chen, Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory Zelinsky. Scientific reports, 2021.
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- Topology-aware segmentation using discrete Morse theory Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao Chen. arXiv preprint, 2021.
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- Mosaic: Advancing User Quality of Experience in 360-Degree Video Streaming With Machine Learning Sohee Park, Arani Bhattacharya, Zhibo Yang, Samir R Das, Dimitris Samaras. IEEE Transactions on Network and Service Management, 2021.
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- Multi-class cell detection using spatial context representation Shahira Abousamra, David Belinsky, John Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen. Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021.
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- Chest radiograph disentanglement for covid-19 outcome prediction Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna. Medical Image Computing and Computer Assisted Intervention, 2021.
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- End-to-end piece-wise unwarping of document images Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras. Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021.
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- Modeling Deep Learning Based Optical Attacks to Mail Privacy B Huang, R Lian, D Samaras, H Ling. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2021.
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- Attention based CNN-LSTM network for pulmonary embolism prediction on chest computed tomography pulmonary angiograms Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna. Medical Image Computing and Computer Assisted Intervention, 2021.
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- A joint spatial and magnification based attention framework for large scale histopathology classification Jingwei Zhang, Ke Ma, John Van Arnam, Rajarsi Gupta, Joel Saltz, Maria Vakalopoulou, Dimitris Samaras. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.
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- Variational feature disentangling for fine-grained few-shot classification Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras. Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021.
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- Predicting goal-directed attention control using inverse-reinforcement learning Gregory J Zelinsky, Yupei Chen, Seoyoung Ahn, Hossein Adeli, Zhibo Yang, Lihan Huang, Dimitrios Samaras, Minh Hoai. Neurons, behavior, data analysis and theory, 2021.
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- Searching the Search Space of Vision Transformer Minghao Chen, Kan Wu, Bolin Ni, Houwen Peng, Bei Liu, Jianlong Fu, Hongyang Chao, Haibin Ling. Conf. on Neural Information Processing Systems (NeurIPS), 2021.
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- AutoFormer: Searching Transformers for Visual Recognition Minghao Chen*, Houwen Peng*, Jianlong Fu, Haibin Ling (* equal contribution). IEEE International Conference on Computer Vision (ICCV), 2021.
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- Transparent Object Tracking Benchmark Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling. IEEE International Conference on Computer Vision (ICCV), 2021.
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- PoGO-Net: Pose Graph Optimization with Graph Neural Networks Xinyi Li, Haibin Ling. IEEE International Conference on Computer Vision (ICCV), 2021.
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- Hypergraph Neural Networks for Hypergraph Matching Xiaowei Liao, Yong Xu, Haibin Ling. IEEE International Conference on Computer Vision (ICCV), 2021.
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- RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth Mengyang Pu, Yaping Huang, Qingji Guan, Haibin Ling. IEEE International Conference on Computer Vision (ICCV), 2021.
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- AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin. IEEE International Conference on Computer Vision (ICCV), 2021.
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- CRACT: Cascaded Regression-Align-Classification for Robust Tracking Heng Fan, Haibin Ling. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
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- TracKlinic: Diagnosis of Challenge Factors in Visual Tracking Heng Fan, Fan Yang, Peng Chu, Lin Yuan, Haibin Ling. IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.
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- Adaptive Edge Attention for Graph Matching with Outliers Jingwei Qu, Haibin Ling, Chenrui Zhang, Xiaoqing Lyu, Zhi Tang. Proc. of Int'l Joint Conf. on Artificial Intelligence (IJCAI), 2021.
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- GMOT-40: A Benchmark for Generic Multiple Object Tracking Hexin Bai*, Wensheng Cheng*, Peng Chu*, Juehuan Liu, Kai Zhang, Haibin Ling (* equal contribution). IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
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- One-Shot Neural Ensemble Architecture Search by Diversity Guided Search Space Shrinking Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
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- OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection Tingting Liang, Yongtao Wang, Guosheng Hu, Zhi Tang, Haibin Ling. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
[ BibTex ]
- DeProCams: Simultaneous Relighting, Compensation and Shape Reconstruction for Projector-Camera Systems Bingyao Huang, Haibin Ling. IEEE Conf. on Virtual Reality and 3D User Interfaces (IEEE VR), IEEE Trans. on Visualization and Computer Graphics (T-VCG), 2021.
[ BibTex ]
- Paying Attention to Video Object Segmentation Wenguan Wang, Jianbing Shen, Steven C. H. Hoi, Haibin Ling. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2021.
[ BibTex ]
- Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking X. Dong, J. Shen, W. Wang, L. Shao, H. Ling, F. Porikli. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2021.
[ BibTex ]
- LaSOT: A High-quality Large-scale Single Object Tracking Benchmark Heng Fan*, Hexin Bai*, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling (* equal contribution). International Journal of Computer Vision (IJCV), 2021.
[ BibTex ]
- MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval X. Liu, Z. Hu, H. Ling, Y.-M. Cheung. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2021.
[ BibTex ]
- Revisiting Video Saliency Prediction in the Deep Learning Era W. Wang, J. Shen, J. Xie, M.-M. Cheng, H. Ling, A. Borji. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2021.
[ BibTex ]
2020
- Detecting Hands and Recognizing Physical Contact in the Wild S. Narasimhaswamy, T. Nguyen, M. Hoai. Advances in Neural Information Processing Systems (NeurIPS), 2020.
[ BibTex ]
- Uncertainty Estimation and Sample Selection for Crowd Counting V. Ranjan, B. Wang, M. Shah, M. Hoai. Asian Conference on Computer Vision (ACCV), 2020.
[ BibTex ]
- Association of Proteinuria and Hematuria with Acute Kidney Injury and Mortality in Hospitalized Patients with COVID-19 I. Chaudhri, R. Moffitt, E. Taub, R. R. Annadi, M. Hoai, O. Bolotova, J. Yoo, S. Dhaliwal, H. Sahib, F. Daccueil, J. Hajagos, M. Saltz, J. Saltz, S. K. Mallipattu, F. M. Koraishy. Kidney & Blood Pressure Research, 2020.
[ BibTex ]
- Active Vision for Early Recognition of Human Actions B. Wang, L. Huang, M. Hoai. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[ BibTex ]
- Attentive Action and Context Factorization Y. Wang, V. Tran, G. Bertasius, L. Torresani, M. Hoai. Proceedings of British Machine Vision Conference (BMVC), 2020.
[ BibTex ]
- Structural and Functional Decomposition for Personality Image Captioning in a Communication Game M. T. Nguyen, D. Phung, M. Hoai, T. H. Nguyen. EMNLP Findings, 2020.
[ BibTex ]
- Facedet3d: Facial expressions with 3d geometric detail prediction ShahRukh Athar, Albert Pumarola, Francesc Moreno-Noguer, Dimitris Samaras. arXiv preprint, 2020.
[ BibTex ]
- Characterizing immune responses in whole slide images of cancer with digital pathology and pathomics Rajarsi Gupta, Han Le, John Van Arnam, David Belinsky, Mahmudul Hasan, Dimitris Samaras, Tahsin Kurc, Joel H Saltz. Current Pathobiology Reports, 2020.
[ BibTex ]
- Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images Danielle J Fassler, Shahira Abousamra, Rajarsi Gupta, Chao Chen, Maozheng Zhao, David Paredes, Syeda Areeha Batool, Beatrice S Knudsen, Luisa Escobar-Hoyos, Kenneth R Shroyer, Dimitris Samaras, Tahsin Kurc, Joel Saltz. Diagnostic pathology, 2020.
[ BibTex ]
- Intrinsic decomposition of document images in-the-wild Sagnik Das, Hassan Ahmed Sial, Ke Ma, Ramon Baldrich, Maria Vanrell, Dimitris Samaras. arXiv preprint, 2020.
[ BibTex ]
- Learning monocular face reconstruction using multi-view supervision Zhixin Shu, Duygu Ceylan, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Dimitris Samaras. IEEE International Conference on Automatic Face and Gesture Recognition, 2020.
[ BibTex ]
- Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression Megan Quarmley, Zhibo Yang, Shahrukh Athar, Gregory Zelinksy, Dimitris Samaras, Johanna M Jarcho. IEEE International Conference on Automatic Face and Gesture Recognition, 2020.
[ BibTex ]
- Self-supervised deformation modeling for facial expression editing ShahRukh Athar, Zhixin Shu, Dimitris Samaras. IEEE International Conference on Automatic Face and Gesture Recognition, 2020.
[ BibTex ]
- Preoperative Pembrolizumab Treatment Changes Tils in Naïve Stage I/IIA TNBC Patients Within a Window of Opportunity Trial Q Wang, R Vanguri, H Guo, S Boboila, T Kurc, H Le, S Abousamra, L Hou, D Samaras, R Gupta, J Saltz, K Gardner, H Hibshoosh, KM Kalinsky, EP Connolly. International Journal of Radiation Oncology, Biology, Physics, 2020.
[ BibTex ]
- Learning Clusterable Visual Features for Zero-Shot Recognition Jingyi Xu, Zhixin Shu, Dimitris Samaras. arXiv preprint, 2020.
[ BibTex ]
- Light direction and color estimation from single image with deep regression Hassan A Sial, Ramon Baldrich, Maria Vanrell, Dimitris Samaras. arXiv preprint, 2020.
[ BibTex ]
- A study of human gaze behavior during visual crowd counting Raji Annadi, Yupei Chen, Viresh Ranjan, Dimitris Samaras, Gregory Zelinsky, Minh Hoai. arXiv preprint, 2020.
[ BibTex ]
- COCO-Search18: A dataset for predicting goal-directed attention control Yupei Chen, Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory Zelinsky. bioRxiv, 2020.
[ BibTex ]
- Utilizing automated breast cancer detection to identify spatial distributions of tumor-infiltrating lymphocytes in invasive breast cancer Han Le, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Luke Torre-Healy, Richard A Moffitt, Tahsin Kurc, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Arvind Rao, Alison L Van Dyke, Ashish Sharma, Erich Bremer, Jonas S Almeida, Joel Saltz. The American journal of pathology, 2020.
[ BibTex ]
- Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types Le Hou, Rajarsi Gupta, John S Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M Kurc, Joel H Saltz. Scientific data, 2020.
[ BibTex ]
- Su1151 DEEP LEARNING FOR HISTOLOGICAL ANALYSIS OF TUMOR-LYMPHOCYTE INTERACTIONS IN PANCREATIC DUCTAL ADENOCARCINOMA Soma Kobayashi, Han Le, Lucie Chrastecka, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Kenneth R Shroyer, Dimitris Samaras, Richard A Moffitt, Joel H Saltz. Gastroenterology, 2020.
[ BibTex ]
- Weakly-supervised deep stain decomposition for multiplex IHC images Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin Kurc, Luisa F Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel Saltz, Chao Chen. International Symposium on Biomedical Imaging (ISBI), 2020.
[ BibTex ]
- Towards better opioid antagonists using deep reinforcement learning Jianyuan Deng, Zhibo Yang, Yao Li, Dimitris Samaras, Fusheng Wang. arXiv preprint, 2020.
[ BibTex ]
- Generating a Comprehensive Map of Cancer Morphology in Whole Slide Tissue Specimens Joel Saltz, Raj Gupta, Dimitris Samaras, Le Hou, Han Le, Shahira Abousamra, Rebecca Batiste, Tianhao Zhao, Jingwei Zhang, Chao Chen, Tahsin Kurc. Bulletin of the American Physical Society, 2020.
[ BibTex ]
- P3-09-17: Preoperative pembrolizumab increases sTILs in treatment naïve stage I/IIA TNBC patients in a window of opportunity trial Rami Vanguri, Hua Guo, Shuobo Boboila, Tahsin Kurc, Han Le, Shahira Abousamra, Le Hou, Dimitris Samaras, Rajarsi Gupta, Joel Saltz, Kevin Gardner, Hanina Hibshoosh, Kevin Kalinsky, Eileen Connolly. Cancer Research, 2020.
[ BibTex ]
- Preoperative pembrolizumab increases sTILs in treatment naive stage I/IIA TNBC patients in a window of opportunity trial Rami Vanguri, Hua Guo, Shuobo Boboila, Tahsin Kurc, Han Le, Shahira Abousamra, Le Hou, Dimitris Samaras, Rajarsi Gupta, Joel Saltz, Kevin Gardner, Hanina Hibshoosh, Kevin Kalinsky, Eileen Connolly. CANCER RESEARCH, 2020.
[ BibTex ]
- Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin Kurc, Richard M Levenson, Patricia Thompson-Carino, Joel Saltz, Chao Chen. ECCV 2020 Workshops, 2020.
[ BibTex ]
- Distribution matching for crowd counting Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen. Advances in neural information processing systems, 2020.
[ BibTex ]
- Topogan: A topology-aware generative adversarial network Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen. European Conference on Computer Vision (ECCV)., 2020.
[ BibTex ]
- From shadow segmentation to shadow removal Hieu Le, Dimitris Samaras. European Conference on Computer Vision (ECCV)., 2020.
[ BibTex ]
- From whole slide tissues to knowledge: Mapping sub-cellular morphology of cancer Tahsin Kurc, Ashish Sharma, Rajarsi Gupta, Le Hou, Han Le, Shahira Abousamra, Erich Bremer, Ryan Birmingham, Tammy DiPrima, Nan Li, Feiqiao Wang, Joseph Balsamo, Whitney Bremer, Dimitris Samaras, Joel Saltz. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020.
[ BibTex ]
- Predicting goal-directed human attention using inverse reinforcement learning Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory Zelinsky, Dimitris Samaras, Minh Hoai. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020.
[ BibTex ]
- Learning visual emotion representations from web data Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020.
[ BibTex ]
- Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features Runsheng Zhang, Yaping Huang, Mengyang Pu, Jian Zhang, Qingji Guan, Qi Zou, Haibin Ling. IEEE Trans. on Image Processing (T-IP), 2020.
[ BibTex ]
- Cross-Modal Weighting Network for RGB-D Salient Object Detection Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling. In Proc. of European Conference on Computer Vision (ECCV), 2020.
[ BibTex ]
- Feature Space Augmentation for Long-Tailed Data Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling. In Proc. of European Conference on Computer Vision (ECCV), 2020.
[ BibTex ]
- Robust Multi-modal 3D Patient Body Modeling Fan Yang*, Ren Li*, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Haibin Ling, Ziyan Wu (* equal contribution). International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.
[ BibTex ]
- Learning Combinatorial Solver for Graph Matching Tao Wang, He Liu, Yidong Li, Yi Jin, Xiaohui Hou, Haibin Ling. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020.
[ BibTex ]
- Cascaded Human-Object Interaction Recognition Tianfei Zhou, Wenguan Wang, Qiyuan Qi, Haibin Ling, Jianbing Shen. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020.
[ BibTex ]
- ARCHIE: A User-Focused Framework for Testing Augmented Reality Applications in the Wild Sarah Lehman, Haibin Ling, Chiu C. Tan. IEEE Conf. on Virtual Reality and 3D User Interfaces (IEEE VR), 2020.
[ BibTex ]
- Hybrid Camera Pose Estimation with Online Partitioning for SLAM Xinyi Li, Haibin Ling. Proc. of IEEE Int'l Conference on Robotics and Automation (ICRA), 2020.
[ BibTex ]
- CBNet: A Novel Composite Backbone Network Architecture for Object Detection Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2020.
[ BibTex ]
- 3D Mapping and 6D Pose Computation for Real Time Augmented Reality on Cylindrical Objects F. Tang, Y. Wu, X. Hou, H. Ling. IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), 2020.
[ BibTex ]
- Dual L1-Normalized Context/Hyper-Context Aware Tensor Power Iteration and Its Applications to Multi-Object Tracking and Multi-Graph Matching W. Hu, X. Shi, Z. Zhou, J. Xing, H. Ling, S. Maybank. International Journal of Computer Vision (IJCV), 2020.
[ BibTex ]
- Tracking-by-Fusion via Gaussian Processes Regression Based Transfer Learning J. Gao, Q. Wang, J. Xing, H. Ling, W. Hu, S. Maybank. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2020.
[ BibTex ]
- Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection F. Yang, L. Zhang, S. Yu, D. Prokhorov, X. Mei, H. Ling. IEEE Trans. on Intelligent Transportation Systems (T-ITS), 2020.
[ BibTex ]
- Mutually Guided Image Filtering X. Guo, Y. Li, J. Ma, H. Ling. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2020.
[ BibTex ]
- Automatic Spatially Varying Illumination Simulation of Indoor Scenes Based on a Single RGB-D Image G. Xing, Y. Liu, H. Ling, X. Granier, Y. Zhang. IEEE Trans. on Visualization and Computer Graphics (T-VCG), 2020.
[ BibTex ]
2019
- Topology-Preserving Deep Image Segmentation, Hu, Xiaoling and Li, Fuxin and Samaras, Dimitris and Chen, Chao. NeurIPS, 2019
[ BibTex ]
- Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion, Mihir Sahasrabudhe*, Zhixin Shu*, Edward Bartrum, Riza Alp Guler, Dimitris Samaras and Iasonas Kokkinos. ICCV, 2019
[ BibTex ]
- Modelling attention control using a convolutional neural network designed after the ventral visual pathway, Chen-Ping Yu, Huidong Liu, Dimitrios Samaras and Gregory J. Zelinsky. Visual Cognition, 2019
[ BibTex ]
- Shadow Removal via Shadow Image Decomposition, Hieu Le, Dimitris Samaras. ICCV, 2019
[ BibTex ]
- DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks, Sagnik Das*, Ke Ma*, Zhixin Shu, Dimitris Samaras, Roy Shilkrot. ICCV, 2019
[ Project Page ] [ BibTex ]
- Wasserstein GAN with Quadratic Transport Cost, Huidong Liu, Xianfeng Gu, Dimitris Samaras. ICCV, 2019
[ BibTex ]
[ Supplementary ]
- Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations, Han Le, Dimitris Samaras, Tahsin Kurc, Rajarsi Gupta, Kenneth Shroyer, and Joel Saltz. MICCAI, 2019
[ BibTex ]
- Advancing User Quality of Experience in 360-degree Video Streaming, Sohee Park, Arani Bhattacharya, Zhibo Yang, Mallesham Dasari, Samir R. Das and Dimitris Samaras. IFIP Networking, 2019
[ BibTex ]
- Reading Detection in Real-time, Conor Kelton, Zijun Wei, Seoyoung Ahn, Aruna Balasubramanian, Samir R Das, Dimitris Samaras, Gregory Zelinsky. Symposium on Eye Tracking Research and Applications (ETRA), 2019
[ BibTex ]
- GIF2Video: Color Dequantization and Temporal Interpolation of GIF images, Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang and Minh Hoai. Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[ BibTex ]
- Weakly Labeling the Antarctic: The Penguin Colony Case, Hieu Le, Bento Gonçlaves, Dimitris Samaras, Heather Lynch. CVPR Workshop, 2019
[ BibTex ]
- Latent Convolutional Models, ShahRukh Athar, Evgeny Burnaev and Victor Lempitsky. International Conference on Learning Representations (ICLR), 2019
[ Project Page ] [ BibTex ]
- Benchmarking Gaze Prediction for Categorical Visual Search, Gregory Zelinsky, Zhibo Yang, Lihan Huang, Yupei Chen, Seoyoung Ahn, Zijun Wei, Hossein Adeli, Dimitris Samaras and Minh Hoai. Computer Vision and Pattern Recognition Workshop on Mutual Benefits of Cognitive and Computer Vision (CVPRW-MBCCV), 2019
[ BibTex ]
- Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data, Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina and Nebojsa Jojic. Computer Vision and Pattern Recognition (CVPR), 2019
[ BibTex ]
- Robust Histopathology Image Analysis: to Label or to Synthesize?, Hou, Le and Agarwal, Ayush and Samaras, Dimitris and Kurc, Tahsin M and Gupta, Rajarsi R and Saltz, Joel H. Computer Vision and Pattern Recognition (CVPR), 2019
[ BibTex ]
- SmartEye: Assisting Instant Photo Taking via Integrating User Preference with Deep View Proposal Network , Shuai Ma*, Zijun Wei*, Feng Tian, Xiangmin Fan, Jianming Zhang, Xiaohui Shen, Zhe Lin, Jin Huang, Radomir Mech, Dimitris Samaras, and Hongan Wang. In Proceedings of the 37th Annual ACM Conference on Human Factors in Computing Systems, Glasgow, UK, May 4 - 9, 2019
[ BibTex ]
- Label super-resolution networks, Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa, Nebojsa Jojic. ICLR 2019
[ BibTex ]
- An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations, Mengjiao Wang, Zhixin Shu, Shiyang Cheng, Yannis Panagakis, Dimitris Samaras, Stefanos Zafeiriou. IJCV 2019
[ BibTex ]
- Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images, Hou, Le and Nguyen, Vu and Kanevsky, Ariel B and Samaras, Dimitris and Kurc, Tahsin M and Zhao, Tianhao and Gupta, Rajarsi R and Gao, Yi and Chen, Wenjin and Foran, David and others. Pattern Recognition, 2019
[ BibTex ]
2018
- Back to the Beginning: Starting Point Detection for Early Recognition of Ongoing Human Actions, Boyu Wang and Minh Hoai. CVIU 2018
[ BibTex ]
- Iterative Crowd Counting, Viresh Ranjan, Hieu Le and Minh Hoai. ECCV 2018
[ BibTex ]
- Sequence-to-Segment Networks for Segment Detection, Zijun Wei, Boyu Wang, Minh Hoai, Jianming Zhang, Zhe Lin, Xiaohui Shen, Radomir Mech and Dimitris Samaras. NeurIPS 2018
[ BibTex ]
- A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation, Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, and Dimitris Samaras. European Conference on Computer Vision (ECCV), 2018
[ BibTex ]
- Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance, Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Guler, Dimitris Samaras, Nikos Paragios, and Iasonas Kokkinos. European Conference on Computer Vision (ECCV), 2018
[ Project Page ]
[ Code ]
[ BibTex ]
- A Two-Step Computation of the Exact GAN Wasserstein Distance, Huidong Liu, Xianfeng David Gu, Dimitris Samaras. International Conference on Machine Learning (ICML), 2018
[ Supplemental ]
[ BibTex ]
- Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images, Joel Saltz, Rajarsi Gupta, Le Hou, Tahsin Kurc, Pankaj Singh, Vu Nguyen, Dimitris Samaras,..., and Thorsson, Vesteinn. Cell Reports, April 2018, page 181 -- 193.e7
[ BibTex ]
- DocUNet: Document Image Unwarping via A Stacked U-Net, Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, Dimitris Samaras. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[ Project Page ]
[ BibTex ]
- Pulling Actions out of Context: Explicit Separation for Effective Combination, Wang, Y., & Hoai, M.. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[ BibTex ]
- Good View Hunting: Learning Photo Composition from 1 Million View Pairs, Wei, Z., Zhang, Z., Hoai, M., Shen, X., Lin, Z., Mech, R., and Samaras, D.. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[ Project Page ]
[ BibTex ]
- Predicting Body Movement and Recognizing Actions: an Integrated Framework for Mutual Benefits, Wang, B. & Hoai, M.. Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, 2018
[ BibTex ]
- Eigen-Evolution Dense Trajectory Descriptors, Wang, Y., Tran, V., & Hoai, M. Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, 2018
[ BibTex ]
- Leave-one-out Kernel Optimization for Shadow Detection and Removal, Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 40(3), 682-695
[ BibTex ]
2017
- Squared Earth Mover's Distance Loss for Training Deep Neural Networks on Ordered-Classes, L. Hou, C.P. Yu, D. Samaras. NIPS workshop on Learning on Distributions, Functions, Graphs and Groups. 2017.
[ Project Page ]
[ BibTex ]
- Latent Bi-constraint SVM for Video-based Object Recognition, Liu, Y., Hoai, M., Shao, M. & Kim, T-K.. IEEE Transactions on Circuits and Systems for Video Technology, 2017
[ BibTex ]
- X-ray Scattering Image Classification Using Deep Learning, Wang, B., Yager, K., Yu, D., & Hoai, M. Proceedings of Winter Conference on Applications of Computer Vision (WACV), 2017
[ BibTex ]
- Portrait Lighting Transfer Using a Mass Transport Approach, Zhixin Shu, Sunil Hadap, Eli Shechtman, Kalyan Sunkavalli, Sylvain Paris, Dimitris Samaras. ACM Transactions on Graphics (TOG), Volume 37, Issue 1, November 2017, Article No. 2. (Presented at SIGGRAPH 2017)
[ BibTex ]
- Shadow Detection with Conditional Generative Adversarial Networks, Vu Nguyen, Tomas F. Yago Vicente, Maozheng Zhao, Minh Hoai, Dimitris Samaras. Proceedings of IEEE International Conference on Computer Vision (ICCV), 2017, Italy
[ BibTex ]
- Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild, Ke Ma and Minh Hoai and Dimitris Samaras. Proceedings of British Machine Vision Conference (BMVC), 2017
[ BibTex ] [ Project ]
- Co-localization with Category-Consistent CNN Features and Geodesic Distance Propagation, Hieu Le, Chen-Ping Yu, Gregory Zelinsky, Dimitris Samaras. Proceedings of IEEE International Conference on Computer Vision (ICCV), 2017, Workshop on CEFRL: Compact and Efficient Feature Representation and Learning in Computer Vision, Italy
[ BibTex ]
- Deriving Reproducible Biomarkers from Multi-site Resting-state Data: An Autism-based Example, Abraham, A., Milham, M., Di Martino, A., Craddock, R. C., Samaras, D., Thirion, B., & Varoquaux, G. In NeuroImage, vol. 147, 2017, pp 736 - 745
[ BibTex ]
- Neural Face Editing with Intrinsic Image Disentangling, Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, and Dimitris Samaras, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Hawaii/USA
[ BibTex ]
- ConvNets with Smooth Adaptive Activation Functions for Regression, Hou, Le and Samaras, Dimitris and Kurc, Tahsin M and Gao, Yi and Saltz, Joel H, Conference on Artificial Intelligence and Statistics (AIStats), 2017
[ BibTex ]
- Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images, Murthy, Veda and Hou, Le and Samaras, Dimitris and Kurc, Tahsin M and Saltz, Joel H, IEEE Winter Conference on Applications of Computer Vision (WACV), 2017
[ BibTex ]
2016
- Large-scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples, Vicente, T.F.Y., Hou, L., Yu, C.-P., Hoai, M. & Samaras, D., Proceedings of European Conference on Computer Vision (ECCV), 2016
[ BibTex ]
- Automatic histopathology image analysis with CNNs, Le Hou, Kunal Singh, Dimitris Samaras, Tahsin M. Kurc, Yi Gao, Roberta J. Seidman, Joel H. Saltz, Proceedings of the New York Scientific Data Summit, IEEE, 2016
[ BibTex ]
- Neural Networks with Smooth Adaptive Activation Functions for Regression, Hou, Le and Samaras, Dimitris and Kurc, Tahsin M and Gao, Yi and Saltz, Joel H, arXiv, 2016
- Geodesic Distance Histogram Feature for Video Segmentation, Hieu Le, Vu Nguyen, Chen-Ping Yu, and Dimitris Samaras, Asian Conference on Computer Vision (ACCV), Taipei, Taiwan, 2016
[ BibTex ]
- Learned Region Sparsity and Diversity Also Predict Visual Attention, Zijun Wei, Hossein Adeli, Greg Zelinsky, Minh Hoai, Dimitris Samaras, Advances in Neural Information Processing Systems (NIPS), 2016
[ BibTex ]
- EyeOpener: Editing Eyes in the Wild, Zhixin Shu, Eli Shechtman, Dimitris Samaras, and Sunil Hadap, ACM Transactions on Graphics (TOG), Volume 36, Issue 1, September 2016, Article No. 1. (Presented at SIGGRAPH 2016)
[ BibTex ]
- Design and Evaluation of a Foveated Video Streaming Service for Commodity Client Devices, Jihoon Ryoo, Kiwon Yun, Dimitris Samaras, Samir R. Das, and Gregory J. Zelinsky, Proceedings of the ACM Multimedia Systems Conference (MMSys), 2016, Klagenfurt am Wörthersee/Austria
[ BibTex ]
- Higher-order Graph Principles towards Non-rigid Surface Registration, Yun Zeng, Chaohui Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios, In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), February 2016
[ BibTex ]
- Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification, Le Hou, Dimitris Samaras, Tahsin M. Kurc, Yi Gao, James E. Davis, Joel H. Saltz, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Nevada/USA
[ BibTex ]
- Noisy Label Recovery for Shadow Detection in Unfamiliar Domains, Tomas F Yago Vicente, Minh Hoai, Dimitris Samaras, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Nevada/USA
[ BibTex ]
- Improving Human Action Recognition by Non-action Classification, Yang Wang, Minh Hoai, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Nevada/USA
[ BibTex ]
- Region Ranking SVMs for Image Classification, Zijun Wei, Minh Hoai, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Nevada/USA (to appear)
[ BibTex ]
- Texture Classification for Rail Surface Condition Evaluation, Ke Ma, Tomas F. Yago Vicente, Dimitris Samaras, Michael Petrucci, and Daniel L. Magnus, IEEE Winter Conference on Applications of Computer Vision (WACV), 2016, New York/USA
[ BibTex ]
2015
- Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm, Belilosky, E. Gkirtzou, K., Misyrlis, M., Konova, A., Blaschko, M., Honorio, J., Alia-Klein, N., Goldstein, R.Z., Samaras, D., In Computerized Medical Imaging and Graphics,, Vol. 46, Part 1, pp. 40-46 , December 2015.
[ BibTex ]
- Leave-One-Out Kernel Optimization for Shadow Detection, Tomas F Yago Vicente, Minh Hoai, Dimitris Samaras, IEEE International Conference on Computer Vision (ICCV) 2015, Santiago/Chile
[ BibTex ]
- Efficient Video Segmentation using Parametric Graph Partitioning, Chen-Ping Yu, Hieu Le, Gregory Zelinsky, and Dimitris Samaras, IEEE International Conference on Computer Vision (ICCV) 2015, Santiago/Chile
[ BibTex ]
- Clutter Perception Is Invariant to Image Size, Gregory Zelinsky and Chen-Ping Yu, Vision Research, May 2015
[ BibTex ]
- Effects of image size on clutter perception: more evidence for proto-object segmentation, Chen-Ping Yu and Gregory Zelinsky, Visual Science Society (VSS) 2015, Florida/USA
[ BibTex ]
- Searching Through the Hierarchy: Modeling categorical search using class-consistent features, Justin Maxfield, Chen-Ping Yu, and Greg Zelinsky, Visual Science Society (VSS) 2015, Florida/USA
[ BibTex ]
- Simulating multiple object tracking performance using a Kalman filter model, Gregory Zelinsky, Ashley Sherman, Tomás F. Yago Vicente, Visual Science Society (VSS) 2015, Florida/USA
[ BibTex ]
- Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification, Le Hou, Dimitris Samaras, Tahsin M Kurc, Yi Gao, James E Davis, Joel H Saltz, arXiv:1504.07947 (2015)
[ BibTex ]
- Recognizing Cultural Events in Images: a Study of Image Categorization Models, Heeyoung Kwon, Kiwon Yun, Minh Hoai, Dimitris Samaras, Computer Vision and Pattern Recognition ChaLearn Looking at People workshop, CVPR 2015, Boston/USA
[ BibTex ]
- Action Classification in Still Images Using Human Eye Movements, Gary L. Ge, Kiwon Yun, Dimitris Samaras, and Gregory J. Zelinsky, The 2nd Vision Meets Cognition Workshop at Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston/USA
[ BibTex ]
- How We Look Tells Us What We Do: Action Recognition Using Human Gaze, Kiwon Yun, Gary L. Ge, Dimitris Samaras, and Gregory J. Zelinsky, Visual Science Society (VSS) 2015, Florida/USA
[ BibTex ]
- Practical Chirocentric 3DUI Platform for Immersive Environments, Charilaos Papadopoulos, Ho Jin Choi, Joydeep Sinha, Kiwon Yun, Arie E. Kaufman, Dimitris Samaras, Bireswar Laha, in IEEE Symposium on 3D User Interfaces (3DUI), 2015, Arles/France
[ BibTex ]
2014
- Talking Heads: Detecting Humans and Recognizing Their Interactions, Hoai, M. & Zisserman, A.,
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
[ BibTex ]
- Regularized Max Pooling for Image Categorization, Hoai, M.,
Proceedings of British Machine Vision Conference (BMVC), 2014
[ BibTex ]
- Action Recognition From Weak Alignment of Body Parts, Hoai, M., Ladicky, L., & Zisserman, A.,
Proceedings of British Machine Vision Conference (BMVC), 2014
[ BibTex ]
- Improving Human Action Recognition using Score Distribution and Ranking, Hoai, M. & Zisserman, A.,
Proceedings of Asian Conference on Computer Vision (ACCV), 2014
[ BibTex ]
- Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries, Hoai, M. & Zisserman, A.,
Proceedings of Asian Conference on Computer Vision (ACCV), 2014
[ BibTex ]
- Structured Prediction for Event Detection, Hoai, M. & De la Torre, F.,
In Advanced Structured Prediction Method.
Nowozin, S., Gehler, P., Jancsary, J., and Lampert, C. (Eds.), MIT Press. 2014
[ BibTex ]
- Max-Margin Early Event Detectors, Hoai, M. & De la Torre, F., International Journal of Computer Vision (IJCV), 107(2), 191–202. 2014
[ BibTex ]
- Learning Discriminative Localization from Weakly Labeled Data, Hoai, M., Torresani, L., De la Torre, F. & Rother, C., Pattern Recognition , 47(3), 1523–1534. 2014
[ BibTex ]
- Searching Through the Hierarchy: A Behavioral and Computational Approach to Understanding Categorial Search, Justin Maxfield, Chen-Ping Yu, and Greg Zelinsky, Visual Science Society (VSS) 2014, Florida/USA
[ BibTex ]
- 3D Assisted Face Recognition via Progressive Pose Estimation, Wuming Zhang, Di Huang, Dimitris Samaras, Jean-Marie Morvan, unhong Wang, Liming Chen, In Proceedings of the IEEE International Conference on Image Processing (ICIP) 2014, Paris/France
[ BibTex ]
- Predicting cross-task behavioral variables from fMRI data using the k-support norm, Michail Misyrlis, Anna B. Konova, Matthew B. Blaschko, Jean Honorio, Nelly Alia-Klein, Rita Z. Goldstein, Dimitris Samaras, 2nd International Workshop on Sparsity Techniques in Medical Imaging (STMI) 2014 (in conjunction with MICCAI 2014), Boston/USA
[ BibTex ]
- Region segmentation for sparse decompositions: better brain parcellations from rest fMRI, Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, and Gael Varoquaux, 2nd International Workshop on Sparsity Techniques in Medical Imaging (STMI) 2014 (in conjunction with MICCAI 2014), Boston/USA
[ BibTex ]
- Single Image Shadow Removal via Neighbor Based Region Relighting, Tomas F Yago Vicente, Dimitris Samaras, In Proceedings of the IEEE Color and Photometry in Computer Vision Workshop (CPCV) 2014 (in conjunction with ECCV 2014), Zürich/Switzerland
[ BibTex ]
- Action Detection with Improved Dense Trajectories and Sliding Window, Zhixin Shu, Kiwon Yun, Dimitris Samaras, In European Conference on Computer Vision ChaLearn Looking at People workshop, ECCV 2014, Zürich/Switzerland
[ BibTex ]
- Modeling Visual Clutter Perception using Proto-object Segmentation, Chen-Ping Yu, Dimitris Samaras, and Greg Zelinsky, Journal of Vision, June 2014
[ BibTex ]
- Modeling Visual Clutter Perception using Proto-object Segmentation, Chen-Ping Yu, Dimitris Samaras, and Gregory Zelinsky, Visual Science Society (VSS) 2014, Florida/USA
[ BibTex ]
- The Photometry of Intrinsic Images, Marc Serra, Olivier Penacchio, Robert Benavente, Maria Vanrell, Dimitris Samaras, Computer Vision and Pattern Recognition (CVPR) 2014, Ohio/USA
[ BibTex ]
2013
- Discriminative Sub-categorization, Hoai, M. & Zisserman, A., Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
[ BibTex ]
- Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs, Alexandros Panagopoulos, Chaohui Wang, Dimitris Samaras, Nikos Paragios, In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) Febrary 2013, 35(2): 437-449
[ BibTex ]
- Multi-voxel pattern analysis of selec- tive representation of visual working memory in ventral temporal and occipital regions, Han, X., Berg, A., Oh, H., Samaras, D., Leung, H.C. . In NeuroImage, vol. 73, June 2013, pp 8-15.
[ BibTex ]
- Exploring the Role of Gaze Behavior and Object Detection in Scene Understanding, Kiwon Yun, Yifan Peng, Dimitris Samaras, Gregory J. Zelinsky, Tamara L. Berg, Frontiers in Psychology, December 2013, 4(917): 1-14
[ BibTex ]
- Modeling guidance and recognition in categorical search: Bridging human and computer object detection, Gregory J. Zelinsky, Yifan Peng, Alexander C. Berg, Dimitris Samaras, In Journal of Vision, October 2013, vol. 13, no. 3, article 30.
[ BibTex ]
- Modelling eye movements in a categorical search task, Gregory J. Zelinsky, Hossein Adeli, Yifan Peng, Dimitris Samaras, Philosophical Transactions of the Royal Society. B: Biological Science 2013 368, 20130058, September 2013
[ BibTex ]
- A Generic Deformation Model for Dense Non-Rigid Surface Registration: a Higher-Order MRF-based Approach, Yun Zeng, Chaohui Wang, David Gu, Dimitris Samaras, Nikos Paragios, In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2013, Sydney/Australia
[ BibTex ]
- Modeling Clutter Perception using Parametric Proto-object Partitioning, Chen-Ping Yu, Wen-Yu Hua, Dimitris Samaras, Greg Zelinsky, Neural Information Processing Systems (NIPS) 2013, Nevada/USA
[ BibTex ]
- Intrinsic Image Evaluation On Synthetic Complex Scenes, Shida Beigpour, Marc Serra, Joost van de Weijer, Robert Benavente, Maria Vanrell, Olivier Penacchio, Dimitris Samaras, In Proceedings of the IEEE International Conference on Image Processing (ICIP) 2013, Melbourne/Australia
[ BibTex ]
- Single Image Shadow Detection using Multiple Cues in a Supermodular MRF, Tomas F. Yago Vicente, Chen-Ping Yu, Dimitris Samaras, British Machine Vision Conference (BMVC) 2013, Bristol/England
[ BibTex ]
- Extracting brain regions from rest fMRI with Total-Variation constrained dictionary learning, Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux, In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2013, Nagoya/Japan
[ BibTex ]
- fMRI Analysis of Cocaine Addiction Using k-Support Sparsity, Gkirtzou K., Honorio J., Samaras D., Goldstein R., Blaschko M., In Proceedings of IEEE International Symposium on Biomedical Imaging 2013. California/USA.
[ BibTex ]
- fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics, Gkirtzou K., Honorio J., Samaras D., Goldstein R., Blaschko M., Medical Image Computing and Computer-Assisted Intervention, Workshop on Machine Learning in Medical Imaging 2013. Nagoya/Japan
[ BibTex ]
- Studying Relationships Between Human Gaze, Description, and Computer Vision, Kiwon Yun, Yifan Peng, Dimitris Samaras, Gregory J. Zelinsky, and Tamara L. Berg, Computer Vision and Pattern Recognition (CVPR) 2013, Oregon/USA
[ BibTex ]
- Specifying the Relationships Between Objects, Gaze, and Descriptions for Scene Understanding, Kiwon Yun, Yifan Peng, Hossein Adeli, Tamara L. Berg, Dimitris Samaras, and Gregory J. Zelinsky, Visual Science Society (VSS) 2013, Florida/USA
[ BibTex ]
2012
- Max-Margin Early Event Detectors, Hoai, M. & De la Torre, F.,
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
[ BibTex ]
- Maximum Margin Temporal Clustering, Hoai, M. & De la Torre, F.,
Proceedings of International Conference on Artificial Intelligence and Statistics, 2012
[ BibTex ]
- Reconstructing Shape from Dictionaries of Shading Primitives, Alexandros Panagopoulos, Sunil Hadap, Dimitris Samaras, In Proceedings of the 11th Asian Conference on Computer Vision (ACCV) 2012, Daejeon/Korea
[ BibTex ]
- Methylphenidate Enhances Executive Function and Optimizes Prefrontal Function in Both Health and Cocaine Addiction, Moeller S., Honorio J., Tomasi D., Parvaz M., Woicik P., Volkow N., Goldstein R.
CCerebral Cortex, 24 (3): pp. 643-653
[ BibTex ] - Dopaminergic Involvement During Mental Fatigue in Health and Cocaine Addiction, Moeller S., Tomasi D., Honorio J., Volkow N., Goldstein R.
Translational Psychiatry.
- Variable Selection for Gaussian Graphical Models, Honorio J., Samaras D., Rish I., Cecchi G., Artificial Intelligence and Statistics 2012. Canary Islands/Spain
[ BibTex ] - Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models, Honorio J., International Conference on Machine Learning (ICML) 2012. Edinburgh/Scotland
[ BibTex ] - Can a Single Brain Region Predict a Disorder?, Honorio J., Tomasi D., Goldstein R., Leung H.C., Samaras D., IIEEE Transactions on Medical Imaging., 2012
[ BibTex ] - Enhanced Midbrain Response at 6-month Follow-up in Cocaine Addiction, Association with Reduced Drug-related Choice, Moeller S., Tomasi D., Woicik P., Maloney T., Alia-Klein N., Honorio J., Telang F., Wang G., Wang R., Sinha R., Carise D., Astone-Twerell J., Bolger J., Volkow N., Goldstein R., Addiction Biology, 17(6): pp. 1013-25
[ BibTex ] - Two-person Interaction Detection Using Body-Pose Features and Multiple Instance Learning, Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, Tamara L. Berg, and Dimitris Samaras, The 2nd International Workshop on Human Activity Understanding from 3D Data at Conference on Computer Vision and Pattern Recognition, (CVPRW) 2012. Rhode Island/USA
[ BibTex ]
2011
- Joint Segmentation and Classification of Human Actions in Video, Hoai, M., Lan, Z.-Z., & De la Torre, F.,
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
[ BibTex ] - Viewpoint Invariant 3D Landmark Model Inference from Monocular 2D Images Using Higher-Order Priors, Wang, C., Zeng, Y., Loic, S., Kakadiaris, I., Samaras, D., Paragios, N., In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2011, Barcelona, Spain
[ BibTex ] - Illumination Estimation from Shadow Borders, Panagopoulos, A., Yago-Vicente, T., Samaras, D., In Proceedings of the IEEE Color and Photometry in Computer Vision Workshop (CPCV) 2011 (in conjunction with ICCV 2011), Barcelona, Spain
[ BibTex ] - Intrinsic Dense 3D Surface Tracking, Zeng Y., Wang C., Wang Y., Gu X., Samaras D., Paragios N., In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2011, Colorado Springs, CO.
[ BibTex ] - A Generic Local Deformation Model for Shape Registration, Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Dimitris Samaras, Technical Report, INRIA, RR-7676, July, 2011.
[ BibTex ] - Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model, Panagopoulos A., Wang C., Samaras D., Paragios N., In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2011, Colorado Springs, CO.
[ BibTex ] - Lipschitz Parametrization of Probabilistic Graphical Models, Honorio J., Uncertainty in Artificial Intelligence. Barcelona/Spain.
[ BibTex ] - Digital Analysis and Visualization of Swimming Motion, Kirmizibayrak C., Honorio J., Jiang X., Mark R. and Hahn J., The International Journal of Virtual Reality, 10(3): pp.9-16
[ BibTex ] - Analysis and Synthesis of Facial Expressions Using Decomposable Nonlinear Generative Models, Lee, C.S., Samaras, D, In Proceedings of the International Workshop on Emotion Synthesis, Representation, and Analysis in Continuous spaces (EmoSPACE) 2011 in conjunction with IEEE International Conference on Automatic Face and Gesture Recognition and Workshops (FG), Santa Bargara, CA, pp. 847 - 852.
[ BibTex ]
2010
- Metric Learning for Image Alignment, Nguyen, M.H. & De la Torre, F., International Journal of Computer Vision (IJCV), 88(1), 69–84. 2010
[ BibTex ] - Optimal Feature Selection for Support Vector Machines, Nguyen, M.H. & De la Torre, F., Pattern Recognition , 43(3), 584–591. 2010
[ BibTex ] - Action Unit Detection with Segment-based SVMs, Nguyen, M.H., Simon, T., De la Torre, F., & Cohn, J.F.,
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
[ BibTex ] - Personalized Stress Detection from Physiological Measurements, Shi, Y., Nguyen, M.H., Blitz, P., French, B., Fisk, S., De la Torre, F., Smailagic, A. & Siewiorek, D.,
International Symposium on Quality of Life Technology, 2010
[ BibTex ] - Ricci Flow for 3D Shape Analysis, Zeng, W., Gu, X., Samaras, D., In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) April 2010, vol. 32 no. 4 pp. 662-677
[ BibTex ] - Disrupted Functional Connectivity with Dopaminergic Midbrain in Cocaine Abusers, Tomasi D., Volkow N., Wang R., Honorio J., Maloney T., Alia-Klein N., Woicik P., Telang F., Goldstein R., Public Library of Science, PLoS ONE.
[ BibTex ] - AU Recognition on 3D Faces Based On An Extended Statistical Facial Feature Model, Zhao, X., Dellandrea, E., Chen, L., Samaras, D., In Proceedings of the Fourth IEEE International Conference on Biometrics Theory, Applications and Systems (BTAS) 2010, Washington, DC.
[ BibTex ] - Given with a cognitive task, methylphenidate corrects prefrontal dysfunction in cocaine addiction, Goldstein R.Z., Woicik P.A., Maloney T., Tomasi D., Alia-Klein N., Shan J., Carrillo J.H., Samaras D., Wang R., Telang F., Wang G.-J., Volkow N.D., In Proceedings of the National Academy of Sciences of the United States of America, PNAS, 107(38):16667-16672.
[ BibTex ] - Estimating Shadows with the Bright Channel Cue, Panagopoulos A., Wang C., Samaras D., Paragios N., CRICV 2010 (in conjunction with ECCV'10), 2010
[ BibTex ] - Partial Face Biometry using Shape Decomposition on 2D Conformal Maps of Faces, Szeptycki,P.,Ardabilian,M.,Chen,L.,Zeng,W.,Gu,X.,Samaras,D., In Proceeding of the 20th International Conference on Pattern Recognition (ICPR) 2010, Istanbul, Turkey
[ BibTex ] - Dense Non-rigid Surface Registration Using High-Order Graph Matching, Zeng Y., Wang C., Wang Y., Gu X., Samaras D., Paragios N., CVPR 2010
[ BibTex ] - Multi-Task Learning of Gaussian Graphical Models, Honorio J., Samaras D., International Conference on Machine Learning, Haifa/Israel, 2010
[ BibTex ] - Simple Fully Automated Group Classification on Brain fMRI, Honorio J., Samaras D., Tomasi D., Goldstein R., IEEE International Symposium on Biomedical Imaging, Rotterdam/The Netherlands, 2010
[ BibTex ] - Oral Methylphenidate Normalizes Cingulate Activity in Cocaine Addiction During a Salient Cognitive Task, Goldstein R., Woicik P., Maloney T., Tomasi D., Alia-Klein N., Shan J., Honorio J., Samaras D., Ruiliang W., Telang F., Wang G., Volkow N., Proceedings of the National Academy of Sciences, 107(38): pp. 16667-72
[ BibTex ]
2009
- Weakly Supervised Discriminative Localization and Classification: a Joint Learning Process, Nguyen, M.H., Torresani, L., De la Torre, F., & Rother, C.,
Proceedings of International Conference on Computer Vision (ICCV), 2009
[ BibTex ] - Detecting Depression from Facial Actions and Vocal Prosody, Cohn, J.F., Simon, T., Matthews, I., Yang, Y., Nguyen, M.H., Tejera, M., Zhou, F., & De la Torre, F.,
Proceedings of International Conference on Affective Computing & Intelligent Interaction, 2009
[ BibTex ] - Robust Kernel Principal Component Analysis, Nguyen, M.H. & De la Torre, F.,
Advances in Neural Information Processing Systems (NIPS), 2009
[ BibTex ] - Weakly supervised discriminative localization and classication: a joint learning process, Nguyen, M.H., Torresani, L., De la Torre, F., & Rother, C.,
Tech. report CMU-RI-TR-09-29, Robotics Institute, Carnegie Mellon University, 2009
[ BibTex ] - Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions, Wang, Y., Zhang, L., Liu, Z., Hua, G., Wen, Z., Zhang, Z., Samaras, D., In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) November 2009, vol. 31, no. 1, pp. 1968-1984
[ BibTex ] - Sparse and Locally Constant Gaussian Graphical Models, Honorio J., Ortiz L., Samaras D., Paragios N., Goldstein R.Panagopoulos A., Samaras D., Paragios N., Neural Information Processing Systems (NIPS'09), Vancouver/Canada, 2009
[ BibTex ] - Learning Brain fMRI Structure Through Sparseness and Local Constancy, Honorio J., Ortiz L., Samaras D., Goldstein R., Neural Information Processing Systems, Workshop on Connectivity Inference in NeuroImaging, Vancouver/Canada, 2009
[ BibTex ] - A Functional Geometry of fMRI BOLD Signal Interactions, Langs G., Samaras D., Paragios N., Honorio J., Golland P., Alia-Klein N., Tomasi D., Volkow N., Goldstein R., Neural Information Processing Systems, Workshop on Connectivity Inference in NeuroImaging, Vancouver/Canada, 2009
[ BibTex ] - Dopaminergic Response to Drug Words in Cocaine Addiction, Goldstein R., Tomasi D., Alia-Klein N., Honorio J., Maloney T., Woicik P., Wang R., Telang F., Volkow N., Journal of Neuroscience, 29(18): pp. 6001-6, 2009
[ BibTex ] - Anterior Cingulate Cortex Hypoactivations to an Emotionally Salient Task in Cocaine Addiction, Goldstein R., Alia-Klein N., Tomasi D., Honorio J., Maloney T., Woicik P., Wang R., Telang F., Volkow N., Proceedings of the National Academy of Sciences, 106(23): pp. 9453-8, 2009
[ BibTex ] - Robust Shadow and Illumination Estimation Using a Mixture Model, Panagopoulos A., Samaras D., Paragios N., In CVPR'09, June 2009
[ BibTex ]
2008
- Classifying objects based on their visual similarity to target categories, Zhang, W., Samaras, D., Zelinsky, G. J.,
Proceedings of the 30th Annual Conference of the Cognitive Science Society (CogSci) (FG), 2008
- Learning Image Alignment without Local Minima for Face Detection and Tracking, Nguyen, M.H. & De la Torre, F.,
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2008
[ BibTex ] - Facial Feature Detection with Optimal Pixel Reduction SVMs, Nguyen, M.H. & Perez, J. & De la Torre, F.,
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2008
[ BibTex ] - Local Minima Free Parameterized Appearance Models, Nguyen, M.H. & De la Torre, F.,
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008
[ BibTex ] - Parameterized Kernel Principal Component Analysis: Theory and Applications to Supervised and Unsupervised Image Alignment, De la Torre, F. & Nguyen, M.H.,
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008
[ BibTex ] - Image-based Shaving, Nguyen, M.H., Lalonde, J.F., Efros, A.A. & De la Torre, F.,
Computer Graphics Forum, 27(2), 627–635. 2008
[ BibTex ] - High Resolution Tracking of Non-Rigid Motion of Densely Sampled 3D Data Using Harmonic Maps, Wang, Y., Gupta, M., Zhang, S., Wang, S., Gu, X., Samaras, D., Huang, P., In International Journal of Computer Vision (IJCV), March 2008, vol. 76, number 3, pp. 283-300.
[ BibTex ] - Dependent Multiple Cue Integration for Robust Tracking, Moreno-Noguer, F., Sanfeliu A., Samaras D., In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), April 2008, vol. 30, number 4, pp. 670-685
[ BibTex ] - 3D Face Matching and Registration Based on Hyperbolic Ricci Flow, Zeng, W., Gu, X., Yin, X.,, Zeng, W., Lai, Y., Samaras, D., In Proceedings of the Workshop on 3D Face Processing 2008, (in conjunction with CVPR), Anchorage, Alaska
[ BibTex ] - Task-Specific Functional Brain Geometry from Model Maps, Langs, G., Samaras, D., Paragios, N., Honorio, J., Alia-Klein, N., Tomasi, D., Volkow, N.D., Goldstein, R.Z, In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) New York, NY, pp: 925-933, 2008
[ BibTex ] - 3D Non-rigid Surface Matching and Registration Based on Holomorphic Differentials, Zeng, W., Zeng, Y., Wang, Y., Gu, X, Samaras, D., In Proceedings of the European Conference of Computer Vision 2008 Marseiile, France, pp. III:1-14
[ BibTex ] - Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images, Zeng, Y., Samaras, D., Chen, W., Peng, Q., In Computer Vision and Image Understanding (CVIU), October 2008, Volume 112, Number 1, pp. 81-90
[ BibTex ]
2007
- Real-time Accurate Object Detection using Multiple Resolutions, Wei Zhang, Gregory Zelinsky, Dimitris Samaras, In ICCV 2007
[ BibTex ] - Ricci Flow for 3D Shape Analysis, Xianfeng Gu, Sen Wang, Junho Kim, Yun Zeng, Yang Wang, Hong Qin, Dimitris Samaras, In ICCV 2007
[ BibTex ] - Conformal Geometry and Its Applications on 3D Shape Matching, Recognition, and Stitching, Sen Wang, Yang Wang, Miao Jin, Xianfeng David Gu, Dimitris Samaras,
Pattern Analysis and Machine Intelligence, IEEE Transactions on Volume 29, Issue 7, July 2007 Page(s):1209 - 1220
[ BibTex ] - Face Re-Lighting from a Single Image under Harsh Lighting Conditions, Yang Wang, Zicheng Liu, Gang Hua, Zhen Wen, Zhengyou Zhang, Dimitris Samaras, CVPR 2007
[ BibTex ] - Capturing long-range correlations with patch models, Vincent Cheung, Nebojsa Jojic, Dimitris Samaras, in CVPR 2007
[ BibTex ] - Integration of Deformable Contours and a Multiple Hypotheses Fisher Color Model for Robust Tracking in Varying Illuminant Environments, Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras, In Image and Vision Computing 2007, Vol.25, No.3, pp.285-296.
[ BibTex ] - Is decreased prefrontal cortical sensitivity to monetary reward associated with impaired motivation and self-control in cocaine addiction?, Goldstein, R.Z., Alia-Klein, N., Tomasi, D., Zhang, L., Cottone, L.A., Maloney, T., Telang, F., Caparelli, E.C., Chang, L., Ernst, T., Samaras, D., Squires, N.K., Volkow, N.D., In The American Journal of Psychiatry, January 2007; 164:43-51.
[ BibTex ]
2006
- A Flexible Framework for SharedPlans, Nguyen, M.H. & Wobcke, W.R.,
in Sattar, A. & Kang, B.-H. (Eds) AI 2006: Advances in Artificial Intelligence. 2006, Springer-Verlag, Berlin
[ BibTex ] - A Target Dependent Colorspace for Robust Tracking, Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras, In Proceedings of the International Conference on Pattern Recognition (ICPR) 2006, Hong Kong, China, IV:771-774
[ BibTex ] - Integration of Dependent Bayesian Filters for Robust Tracking, Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras, In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2006, Orlando, FL, pp. 4081-4087
[ BibTex ] - 3D Surface Matching and Recognition Using Conformal Geometry [Acknowledgments], Sen Wang, Yang Wang, Miao Jin, Xianfeng Gu, Dimitris Samaras, In Proc. of CVPR 2006, New York, NY, pp. 2453-2460.
[ BibTex] - Face Recognition from A Single Training Image under Arbitrary Unknown Lighting using Spherical Harmonics, Lei Zhang and Dimitris Samaras, In IEEE Trans on Pattern Analysis and Machine Intelligence, March 2006, Vol 28, No. 3, pp. 351-363
[ BibTex]
2005
- Towards a General Implementation of SharedPlans, Nguyen, M.H. & Wobcke, W.R.,
Proceedings of the 3rd Australian Undergraduate Students' Computing Conference, 2005
[ BibTex ] - Minimal Infrastructure Support for Teams, Nguyen, M.H.,
Honours Thesis - the University of New South Wales, 2005
[ BibTex ] - Modeling Neuronal Interactivity using Dynamic Bayesian Networks, Lei Zhang, Dimitris Samaras, Nelly Alia-Klein, Nora Volkow, Rita Goldstein, Advances in Neural Information Processing (NIPS) 18, 2005, Vancouver, Canada, pp. 1593-1600.
[ BibTex ] - A Computational Model of Eye Movements During Object Class Detection, Wei Zhang, Hyejin Yang, Dimitris Samaras, Greg Zelinsky. In Advances in Neural Information Processing (NIPS) 18, 2005, Vancouver, Canada, pp. 1609-1616.
[ BibTex ] - The Role of Top-down and Bottom-up Processes in Guiding Eye Movements During Visual Search, Greg Zelinsky, Wei Zhang, Bing Yu, Xin Chen, Dimitris Samaras, In Advances in Neural Information Processing (NIPS) 2005, Vancouver, Canada, pp. 1569-1576.
[ BibTex ] - Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation, Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras, In Proc. International Conference on Computer Vision (ICCV), Vol.2, pp. 1713-1720, 2005.
[ BibTex ] - Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data, Lei Zhang, Dimitris Samaras, Nelly Klein, Dardo Tomasi, Lisa Cottone, Andreana Leskovjan, Nora Volkow, Rita Goldstein, In MICCAI, pp. 679-687, 2005.
[ BibTex ] - High Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using Harmonic Maps, Yang Wang, Mohit Gupta, Song Zhang, Sen Wang, Xianfeng Gu, Dimitris Samaras, Peisen Huang, In Proc. of ICCV, pp. I: 388-395, 2005.
[ BibTex ] - Image-Driven Re-targeting and Relighting of Facial Expressions, Lei Zhang, Yang Wang, Sen Wang, Dimitris Samaras, In Computer Graphics International, pp. 11-18, 2005.
[ BibTex ] - Object class recognition using multiple layer boosting with multiple features, Wei Zhang, Bing Yu, Greg Zelinsky, Dimitris Samaras. In CVPR, pp II:323-330, 2005.
[ BibTex ] - Face Synthesis and Recognition under Arbitrary Unknown Lighting using a Spherical Harmonic Basis Morphable Model, Lei Zhang, Sen Wang, Dimitris Samaras, In IEEE Proc. of CVPR, pp. II: 209-216, 2005.
[ BibTex ] - Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging, Lei Zhang, Dimitris Samaras, Dardo Tomasi, Nora Volkow, Rita Goldstein, In IEEE Proc. of CVPR, pp. I: 1211-1217, 2005.
[ BibTex ] - Face Reconstruction across Different Poses and Arbitrary Illumination Conditions, Sen Wang, Lei Zhang, Dimitris Samaras, In Audio- and Video-based Biometric Person Authentication, pp. 91-101, 2005.
[ BibTex ]
2004
- High Resolution Acquisition, Learning and Transfer of Dynamic 3-D Facial Expressions, Yang Wang, Xiaolei Huang, Chan-Su Lee, Song Zhang, Zhiguo Li, Dimitris Samaras, Dimitris Metaxas, Ahmed Elgammal, Peisen Huang, In Computer Graphics Forum (in conjuction with EuroGraphics 2004), pp. III: 677-686, 2004.
[ BibTex ] - Fusion of a Multiple Hypotheses Color Model and Deformable Contours for Figure Ground Segmentation in Dynamic Environments, Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras, In Proc. 3rd IEEE Workshop on Articulated and Nonrigid Motion (in conjunction with CVPR04), p. 13-19.
[ BibTex ] - A Hierarchical Framework for High Resolution Facial Expression Tracking, Xiaolei Huang, Song Zhang, Yang Wang, Dimitris Metaxas, Dimitris Samaras, In Proc. 3rd IEEE Workshop on Articulated and Nonrigid Motion (in conjunction with CVPR04), p. 22.
[ BibTex ] - Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics, Lei Zhang and Dimitris Samaras, In Proc. Biometric Authentication Workshop 2004 (in conjunction with ECCV2004), pp. 10-23.
[ BibTex ] - Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces, Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras, In Proc. ECCV 2004, pp. III: 238-251.
[ BibTex ]
2003
- DRT: A Tool for Design Recovery of Interactive Graphical Applications, Chan, K., Chen, A., Liang, Z.C.L., Michail, A., Nguyen, M.H., Seow, N.,
Proceedings of International Conference on Software Engineering, 2003
[ BibTex ] - Multiple Directional Illuminant Estimation from a Single Image, Yang Wang and Dimitris Samaras, In Proc. IEEE Workshop on Color and Photometric Methods in Computer Vision (in conjunction with ICCV 2003).
[ BibTex ] - Estimation of Multiple Directional Light Sources for Synthesis of Augmented Reality Images, Yang Wang and Dimitris Samaras, In Graphical Models, July 2003 (Special Issue on Pacific Graphics 2003), Volume 65, Issue 4, pp. 185-205.
[ BibTex ] - Face Recognition Under Variable Lighting Using Harmonic Image Exemplars, Lei Zhang and Dimitris Samaras, In Proc. CVPR 2003, pp. I: 19-25.
[ BibTex ] - Using Multiple Cues for Hand Tracking and Model Refinement, Shan Lu, Dimitris Metaxas, Dimitris Samaras, John Oliensis, In Proc. CVPR 2003, pp. II: 443-450.
[ BibTex ] - Incorporating Illumination Constraints in Deformable Models for Shape and Light Direction Estimation, Dimitris Samaras and Dimitris Metaxas, In IEEE Trans. PAMI Feb. 2003, Volume 65, Issue 4, pp. 247-264.
[ BibTex ]
2002
- Model-based Integration of Visual Cues for Hand Tracking, Shan Lu, Gang Huang, Dimitris Samaras, Dimitris Metaxas, In Proc. WMVC 2002.
[ BibTex ] - Estimation of Multiple Directional Light Sources for Synthesis of Mixed Reality Images, Yang Wang and Dimitris Samaras, In Proc. Pacific Graphics 2002, pp. 38-47.
[ BibTex ] - Estimation of Multiple Illuminants from a Single Image of Arbitrary Known Geometry, Yang Wang and Dimitris Samaras, In Proc. ECCV 2002, pp. III: 272-288.
[ BibTex ]
2000 and earlier
- Variable Albedo Surface Reconstruction from Stereo and Shape from Shading, Dimitris Samaras, Dimitris Metaxas, Pascal Fua, Yvan G. Leclerc, In Proc. CVPR 2000, pp. I: 480-487.
[ BibTex ] - Coupled Lighting Direction and Shape Estimation from Single Images, Dimitris Samaras and Dimitris Metaxas, In Proc. ICCV 1999, pp. 868-874.
[ BibTex ] - Incorporating Illumination Constraints in Deformable Models, Dimitris Samaras and Dimitris Metaxas, In Proc. CVPR 1998, pp. 322-329.
[ BibTex ]