2021
Hierarchical proxy-based loss for deep metric learning, Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras. WACV, 2021
- Physics-based shadow image decomposition for shadow removal, Hieu Le, Dimitris Samaras. IEEE TPAMI, 2021
- 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, 2021
- SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery, Aggelina Chatziagapi*, ShahRukh Athar*, Francesc Moreno-Noguer, Dimitris Samaras. 3DV, 2021
- Multi-Class Cell Detection Using Spatial Context Representation, Shahira Abousamra, David Belinsky, John Van Arnam, Fellicia Allard, Eric Yee, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen. ICCV, 2021 (Oral)
- Variational Feature Disentangling for Fine-Grained Few-Shot Classification
, Jingyi Xu, Hieu Le, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras. ICCV, 2021
- Radiologically Defined Tumor-habitat Adjacency as a Prognostic Biomarker in Glioblastoma, Xuan Xu, Dimitris Samaras, Prateek Prasanna. EMBC, 2021
- Localization in the Crowd with Topological Constraints, Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen. AAAI, 2021
- Modeling Deep Learning Based Optical Attacks to Mail Privacy, B Huang, R Lian, D Samaras, H Ling. AAAI, 2021
- Chest Radiograph Disentanglement for COVID-19 Outcome Prediction, Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, and Prateek Prasanna. MICCAI, 2021
- GMOT-40: A Benchmark for Generic Multiple Object Tracking, Hexin Bai*, Wensheng Cheng* Peng Chu*, Juehuan Liu, Kai Zhang and Haibin Ling. CVPR, 2021
[ BibTex ]
- 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. CVPRW, 2021
[ BibTex ]
- Topology-Aware Segmentation Using Discrete Morse Theory, Xiaoling Hu and Yusu Wang and Li Fuxin and Dimitris Samaras and Chao Chen. ICLR, 2021
[ BibTex ]
- 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
2020
- 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, and Haibin Ling (* equal contribution)
. International Journal of Computer Vision (IJCV), accepted.
[ BibTex ]
- 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, and Haibin Ling
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), accepted.
[ 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, and Haibin Ling
. IEEE Trans. on Image Processing (T-IP), 39:8606-8621, 2020.
[ BibTex ]
- U2Fusion: A Unified Unsupervised Image Fusion Network, Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, and Haibin Ling
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), accepted.
[ BibTex ]
- TopoGAN: A Topology-Aware Generative Adversarial Network, Fan Wang, Huidong Liu, Dimitris Samaras and Chao Chen. European Conference on Computer Vision (ECCV), 2020 (Oral)
[ Supplementary ][ BibTex ]
- Cross-Modal Weighting Network for RGB-D Salient Object Detection, Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, and 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, and Haibin Ling
. In Proc. of European Conference on Computer Vision (ECCV), 2020.
[ BibTex ]
- From Shadow Segmentation to Shadow Removal, Hieu Le and Dimitris Samaras. European Conference on Computer Vision (ECCV), 2020
[ Supplementary ][ BibTex ]
- Robust Multi-modal 3D Patient Body Modeling, Fan Yang*, Ren Li*, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Haibin Ling, and Ziyan Wu (* equal contribution)
. International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.
[ BibTex ]
- Predicting Goal-directed Human Attention UsingInverse Reinforcement Learning, Zhibo Yang, Lihan Huang, Yupei Chen, Seoyoung Ahn, Zijun Wei, Gregory Zelinsky, Dimitris Samaras and Minh Hoai. Proceedings of the (IEEE) Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (Oral, Best Paper Nomination)
[ Supplementary ][ Code ] Dataset ][ BibTex ]
- Learning Combinatorial Solver for Graph Matching, Tao Wang, He Liu, Yidong Li, Yi Jin, Xiaohui Hou, and 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, and Jianbing Shen
. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020
[ BibTex ]
- Learning Visual Emotion Representations From Web Data, Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai and Dimitris Samaras. Proceedings of the (IEEE) Conference 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, and 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 and Haibin Ling
. Proc. of IEEE Int'l Conference on Robotics and Automation (ICRA), 2020
[ BibTex ]
- Paying Attention to Video Object Segmentation, Wenguan Wang, Jianbing Shen, Steven C. H. Hoi, and Haibin Ling
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), accepted.
[ BibTex ]
- Self-Supervised Deformation Modeling for Facial Expression Editing, ShahRukh Athar, Zhixin Shu and Dimitris Samaras. International Conference on Automatic Face and Gesture Recognition (FG), 2020.
[ ArXiv+Supplementary ][ BibTex ]
- Learning Monocular Face Reconstruction using Multi-View Supervision, Zhixin Shu, Duygu Ceylan, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, and Dimitris Samaras. International Conference on Automatic Face and Gesture Recognition (FG), 2020. (Best Paper Runner Up Award, Oral)
[ BibTex ]
- CBNet: A Novel Composite Backbone Network Architecture for Object Detection, Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, and Haibin Ling
. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2020
[ BibTex ]
- Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking, X. Dong, J. Shen, W. Wang, L. Shao, H. Ling, and F. Porikli
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), accepted.
[ BibTex ]
- 3D Mapping and 6D Pose Computation for Real Time Augmented Reality on Cylindrical Objects, F. Tang, Y. Wu, X. Hou, and H. Ling
. IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), accepted.
[ 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, and S. Maybank
. International Journal of Computer Vision (IJCV), 128:360-392, 2020.
[ BibTex ]
- MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval, X. Liu, Z. Hu, H. Ling, and Y.-M. Cheung
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), accepted.
[ BibTex ]
- Tracking-by-Fusion via Gaussian Processes Regression Based Transfer Learning, J. Gao, Q. Wang, J. Xing, H. Ling, W. Hu, and S. Maybank
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 42(4):939-955, 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, Tahsin Kurc, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Arvind Rao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S.Almeida, and Joel Saltz. The American Journal of Pathology, 2020
[ BibTex ]
- MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval, X. Liu, Z. Hu, H. Ling, and Y.-M. Cheung
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), accepted.
[ BibTex ]
- Tracking-by-Fusion via Gaussian Processes Regression Based Transfer Learning, J. Gao, Q. Wang, J. Xing, H. Ling, W. Hu, and S. Maybank
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 42(4):939-955, 2020.
[ BibTex ]
- Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection, F. Yang, L. Zhang, S. Yu, D. Prokhorov, X. Mei, and H. Ling
. IEEE Trans. on Intelligent Transportation Systems (T-ITS), in press.
[ BibTex ]
- Mutually Guided Image Filtering, X. Guo, Y. Li, J. Ma, and H. Ling
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 42(3):694-707, 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, and Y. Zhang
. IEEE Trans. on Visualization and Computer Graphics (T-VCG), 26(4):1672-1685, 2020.
[ BibTex ]
-
Multitask Osteoporosis Prescreening Using Dental Panoramic Radiographs with Feature Learning, S. Yu, P. Chu, J. Yang, B. Huang, F. Yang, V. Megalooikonomou, and H. Ling
. Smart Health, accepted.
[ BibTex ]
- Revisiting Video Saliency Prediction in the Deep Learning Era, W. Wang, J. Shen, J. Xie, M.-M. Cheng, H. Ling, and A. Borji
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), accepted.
[ BibTex ]
- 2019, W. Wang, J. Shen, J. Xie, M.-M. Cheng, H. Ling, and A. Borji
. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), accepted.
[ 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 ]