Publications

Journal Papers (underscore denotes Post-Doctoral/graduate students I have been working with)

1.     Liang Han, Pichao Wang, Zhaozheng Yin, Fang Wang, and Hao Li, “Context and Structure Mining Network for Video Object Detection,” International Journal of Computer Vision. 2021. Accepted. (Five-year Impact Factor: 13.284)

2.     Liang Han, Pichao Wang, Zhaozheng Yin, Fang Wang, and Hao Li, “Class-aware Feature Aggregation Network for Video Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology. 2021. Accepted. (Impact Factor: 4.685)

3.     Md Al-Amin, Ruwen Qin, Md Moniruzzaman, Zhaozheng Yin, Wenjin Tao, and Ming Leu, “An Individualized System of Skeletal Data-Based CNN Classifiers for Action Recognition in Manufacturing Assembly”, Journal of Intelligent Manufacturing, 2021. Accepted. (Impact Factor: 6.485)

4.     Zhichao Liu, Luhong Jin, Jincheng Chen, Qiuyu Fang, Zhaozheng Yin, and Yingke Xu, “A Survey on Applications of Deep Learning in Microscopy Image Analysis,” Computers in Biology and Medicine, 134:104523, 2021. (Impact Factor: 4.589)

5.     Hao Sun, Zhiqun Zhao, Zhaozheng Yin, and Zhihai He, “Reciprocal Twin Networks for Pedestrian Motion Learning and Future Path Prediction,” IEEE Transactions on Circuits and Systems for Video Technology. 2021. Accepted. (Impact Factor: 4.685)

6.     Md Karim, Ruwen Qin, Zhaozheng Yin, and Genda Chen, “A Semi-supervised Self-training Method to Develop Assistive Intelligence for Segmenting Multiclass Bridge Elements from Inspection Videos,” Structure Health Monitoring. 2021. Accepted. (Impact Factor: 5.929)

7.     Md Moniruzzaman, Zhaozheng Yin, Zhihai He, Ruwen Qin, and Ming Leu, “Human Action Recognition by Discriminative Feature Pooling and Video Segment Attention Model,” IEEE Transaction on Multimedia. 2021. Accepted. DOI: 10.1109/TMM.2021.3058050. (Impact Factor: 6.513)

8.     Young Anna Argyris, Kafui Monu, Yongsuk Kim, Yilu Zhou, Zuhui Wang, and Zhaozheng Yin, “Using Speech Acts to Elicit Positive Emotions for Complainants on Twitter,” Journal of Interactive Marketing. 2021. Accepted. (Impact Factor: 6.258)

9.     Yu Li, Md Karim, Ruwen Qin, Zeyi Sun, Zuhui Wang, and Zhaozheng Yin, “Crash Report Data Analysis for Creating Scenario-wise Spatio-temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks,” Accident Analysis & Prevention, 151: 105962, March 2021. (Impact Factor: 4.993)

10.  Tianyi Zhao, and Zhaozheng Yin, “Weakly Supervised Cell Segmentation by Point Annotation,” IEEE Transactions on Medical Imaging. 2021. Accepted. (Impact Factor: 10.048)

11.  Zuhui Wang, Zhaozheng Yin, and Young Anna Argyris “Detecting Medical Misinformation on Social Media Using Multimodal Deep Learning,” IEEE Journal of Biomedical and Health Informatics. 2020. (Impact Factor: 5.223)

12.  Young Anna Argyris, Zuhui Wang, Yongsuk Kim, and Zhaozheng Yin, “The Effects of Visual Congruence on Increasing Consumers’ Brand Engagement: An Empirical Investigation of Influencer Marketing on Instagram Using Deep-learning Algorithms for Automatic Image Classification,” Computers in Human Behavior, 112: 106443. November 2020. (Impact Factor: 6.829).

13.  Wenjin Tao, Ming C Leu, and Zhaozheng Yin, “Multi-Modal Recognition of Worker Activity for Human-Centered Intelligent Manufacturing,” Engineering Applications of Artificial Intelligence (EAAI). 2020. (Impact Factor: 6.212)

14.  Md Al-Amin, Ruwen Qin, Wenjin Tao, David Doell, Ravon Lingard, Zhaozheng Yin, and Ming C. Leu, “Fusing and Refining Convolutional Neural Network Models for Assembly Action Recognition in Smart Manufacturing,” Journal of Mechanical Engineering Science, June 2020. (Impact factor: 1.762)

15.  Ze-Hao Lai, Wenjin Tao, Ming C. Leu, and Zhaozheng Yin, “Smart Augmented Reality Instructional System for Mechanical Assembly Towards Worker-Centered Intelligent Manufacturing,” Journal of Manufacturing Systems, Volume 55, Pages 69-81, April 2020. (Impact Factor: 8.633)

16.  Yunxiang Mao, Liang Han, and Zhaozheng Yin, “Cell Mitosis Event Analysis in Phase Contrast Microscopy Images Using Deep Learning,” Medical Image Analysis. 57: 32-43, 2019. (Impact Factor: 11.148)

17.  Wenjin Tao, Ze-Hao Lai, Ming C. Leu, Zhaozheng Yin, and Ruwen Qin, “A Self-aware and Active-guiding Training & Assistant System for Worker-centered Intelligent Manufacturing,” Manufacturing Letters, Volume 21, Pages 45-49, August 2019. (Impact factor: 3.530)

18.  Wenjin Tao, Ming C Leu, and Zhaozheng Yin, “American Sign Language Alphabet Recognition Using Convolutional Neural Networks with Multiview Augmentation and Inference Fusion,” Engineering Applications of Artificial Intelligence. 76: 202-213, 2018. (Impact Factor: 4.201)

19.  Dai Fei Elmer Ker, Sungeun Eom, Sanami Sho, Ryoma Bise, Corinne Pascale, Zhaozheng Yin, Seung-il Huh, Elvira Osuna-Highley, Silvina Junkers, Casey Helfrich, Peter Yongwen Liang, Jiyan Pan, Soojin Jeong, S. Steven Kang, Jinyu Liu, Ritchie Nicolson, Michael Sandbothe, Phu Van, Anan Liu, Mei Chen, Takeo Kanade, Lee Weiss, and Phil Campbell, “Phase Contrast Time-lapse Microscopy Datasets with Automated and Manual Cell Tracking Annotations,” Nature Research, Scientific Data. 5:180237, 2018. (Impact Factor: 5.541)

20.  Liang Han and Zhaozheng Yin, “Learning to Transfer Microscopy Image Modalities,” Machine Vision and Applications. 29: 1257-1267, 2018. (Impact Factor: 2.012)

21.  Haohan Li, Zhaozheng Yin, Paul Manley, Joel Burken, Nadia Shakoor, Noah Fahlgren, and Todd Mockler, “Early Drought Stress Detection with Bidirectional Long Short-Term Memory Networks,” Photogrammetric Engineering & Remote Sensing. 84(7): 459-468, July 2018 (Impact Factor: 3.15).

22.  Nolan Ferral, Kyara Holloway, Mingzhong Li, Zhaozheng Yin, and Chen Hou, “Heterogeneous Activity Causes a Nonlinear Increase in the Group Energy Use of Ant Workers Isolated from Their Social Environment," Insect Science. 25(3): 487-498. 2018. (Impact Factor: 3.262).

23.  Mingzhong Li and Zhaozheng Yin, “Debugging Object Tracking by a Recommender System with Correction Propagation,” IEEE Transaction on Big Data. 3(4): 429-442, December 2017. (Impact Factor: 5.67)

24.  Srinivas Thandu, Pratool Bharti, Sriram Chellappan, and Zhaozheng Yin, “Leveraging Multi-modal Smartphone Sensors for Ranging and Estimating the Intensity of Explosion Events,” Pervasive and Mobile Computing. Elsevier. Vol 40: 185-204. September 2017 (Impact Factor: 3.453).

25.  Haohan Li, Yunxiang Mao, Zhaozheng Yin, and Yingke Xu, “A Hierarchical Convolutional Neural Network for Vesicle Fusion Event Classification,” Computerized Medical Imaging and Graphics. Elsevier. Vol 60: 22-34, September 2017. (Impact factor: 4.79). (Invited Paper from MICCAI/CMMI2015)

26.  Wenchao Jiang and Zhaozheng Yin, “Indoor Localization with a Signal Tree,” Multimedia Tools and Applications. Springer. 76(19): 20317-20339. October 2017. (Impact Factor: 2.757).

27.  Wenchao Jiang and Zhaozheng Yin, “Combining Passive Visual Cameras and Active IMU Sensors for Persistent Pedestrian Tracking,” Journal of Visual Communication and Image Representation. Elsevier. 48: 419-431. October 2017. (Impact Factor: 2.678).

28.  Wenchao Jiang and Zhaozheng Yin, “Seeing the Invisible in Differential Interference Contrast Microscopy Images,” Medical Image Analysis. 34: 65-81. December 2016. (Impact Factor: 11.148) (Special issue of best papers of MICCAI2015)

29.  Hang Su, Zhaozheng Yin, Seungil Huh, Takeo Kanade, and Jun Zhu, “Interactive Cell Segmentation based on Active and Semi-supervised Learning,” IEEE Transactions on Medical Imaging. 35(3):762-777, March 2016. (Impact Factor: 10.048)

30.  Shu Yang, Yao-Jan Wu, Zhaozheng Yin, and Yiheng Feng, “Estimating Freeway Travel Times Using General Motors Model,” Journal of the Transportation Research Board. DOI: 10.3141/2594-12, 2016. (Impact Factor: 1.56)

31.  Zhaozheng Yin, Hang Su, Elmer Ker, Mingzhong Li, and Haohan Li, “Cell Sensitive Phase Contrast Microscopy Imaging by Multiple Exposures,” Medical Image Analysis. 25(1): 111-121. October 2015. (Impact Factor: 11.148) (Special issue of best papers of MICCAI2014)

32.  Zhaozheng Yin, Chenglin Wu, and Genda Chen, “Concrete Crack Detection through Full-filed Displacement and Curvature Measurements by Visual Mark Tracking: A Proof-of-Concept Study,” Structure Health Monitoring. 13(2): 245-258. February 2014. (Impact Factor: 5.929)

33.  Hang Su, Zhaozheng Yin, Seungil Huh, and Takeo Kanade, “Cell Segmentation in Phase Contrast Microscopy Images via Semi-supervised Classification over Optics-related Features,” Medical Image Analysis. 17(7): 746-765, October 2013. (Impact Factor: 11.148) (Special issue of best papers of MICCAI2012).

34.  Ruwen Qin, Jing Fu, Zhaozheng Yin, and Changxi Zheng, “Large Scale Process Optimization for Focused Ion Beam 3D Nanofabrication,” The International Journal of Advanced Manufacturing Technology. 64: 587-600. January 2013. (Impact Factor: 3.226)

35.  Zhaozheng Yin, Takeo Kanade, and Mei Chen, “Understanding the Phase Contrast Optics to Restore Artifact-free Microscopy Images for Segmentation,” Medical Image Analysis. 16(5): 1047-1062, July 2012. (Impact Factor: 11.148) (Top 25 Hottest Articles in Medical Image Analysis) (Special issue of best papers of MICCAI2010)

36.  Elmer Ker, Lee Weiss, Silvina Junkers, Mei Chen, Zhaozheng Yin, Michael F. Sandbothe, Seung-il Huh, Sungeun Eom, Ryoma Bise, Elvira Osuna-Highley, Takeo Kanade, and Phil G. Campbell, “An Engineered Approach to Stem Cell Culture: Automating the Decision Process for Real-Time Adaptive Subculture of Stem Cells,” PLoS ONE. 6(11): e27672. November 2011. (Impact Factor: 4.09)

37.  Fang Yang, Zhaozheng Yin, Henry Liu, and Bin Ran, “Online Recursive Algorithm for Short-tern Traffic Prediction,” Journal of the Transportation Research Record. 1879(1): 1-8. 2007. (Impact Factor: 1.56)

 

Conference Papers (underscore denotes Post-Doctoral/graduate students I have been working with)

1.       Liang Han, and Zhaozheng Yin, “Unsupervised Network Learning for Cell Segmentation,” the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

2.       Zuhui Wang, and Zhaozheng Yin, “Annotation-efficient Cell Counting,” the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

3.       Tianyi Zhao, and Zhaozheng Yin, “Airway Anomaly Detection by Prototype-based Graph Neural Network,” the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

4.       Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, and Ling Zhang, “3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

5.       Haohan Li and Zhaozheng Yin “Attention, Suggestion and Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation,” the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

6.       Md Moniruzzaman, Zhaozheng Yin, Zhihai He, Ruwen Qin, and Ming Leu, “Action Completeness Modeling with Background Aware Networks for Weakly-Supervised Temporal Action Localization,” Proceedings of the 28th ACM International Conference on Multimedia (ACMMM), 2020.

7.       Liang Han, Pichao Wang, Zhaozheng Yin, Fan Wang, Hao Li, “Exploiting Better Feature Aggregation for Video Object Detection,” Proceedings of the 28th ACM International Conference on Multimedia (ACMMM), 2020.

8.       Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, and Rong Jin. “Price Suggestion for Online Second-hand Items with Texts and Images,” Proceedings of the 28th ACM International Conference on Multimedia (ACMMM), 2020.

9.       Tianyi Zhao, Zhaozheng Yin, Jiao Wang, Dashan Gao, Yunqiang Chen, and Yunxiang Mao. “Bronchus Segmentation and Classification by Neural Networks and Linear Programming,” the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

10.   Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, and Rong Jin. “Vision-based Price Suggestion for Online Second-hand Items,” Proceedings of the 27th ACM International Conference on Multimedia (ACMMM), 2019.

11.   Liang Han and Zhaozheng Yin, “A Cascaded Refinement GAN for Phase Contrast Microscopy Image Super Resolution,” the 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.

12.   Tianyi Zhao and Zhaozheng Yin, “Pyramid-based Fully Convolutional Networks for Cell Segmentation,” the 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.

13.   Wenjin Tao, Ze-Hao Lai, Ming C. Leu, and Zhaozheng Yin. “American Sign Language Alphabet Recognition Using Leap Motion Controller,” IISE Annual Conference, 2018. (IISE Best Paper Award on Data Analytics and Information Systems)

14.   Tianyi Zhao, Dashan Gao, Jiao Wang, and Zhaozheng Yin, “Lung Segmentation in CT Images Using a Fully Convolutional Neural Network with Multi-instance and Conditional Adversary Loss,” IEEE International Symposium on Biomedical Imaging (ISBI), 2018. (NIH Student Paper and Travel Award, 10 out of 625 submissions)

15.   Yunxiang Mao and Zhaozheng Yin, “Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images,” the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.

16.   Liang Han and Zhaozheng Yin, “Refocusing Phase Contrast Microscopy Images,” the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.

17.   Haohan Li, Zhaozheng Yin, and Yingke Xu, “A Deep Learning Framework for Automated Vesicle Fusion Detection,” IEEE International Symposium on Biomedical Imaging (ISBI), 2017.

18.   Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, and Bo Zhang, “Efficient and Robust Semi-supervised Learning over a Sparse-Regularized Graph,” the 14th European Conference on Computer Vision (ECCV), 2016.

19.   Yunxiang Mao and Zhaozheng Yin, “A Hierarchical Convolutional Neural Network for Mitosis Detection in Phase-Contrast Microscopy Images,” the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.

20.   Mingzhong Li and Zhaozheng Yin, “Cell Segmentation using Stable Extremal Regions in Multi-exposure Microscopy Images,” IEEE International Symposium on Biomedical Imaging (ISBI), 2016.

21.   Yunxiang Mao, Zhaozheng Yin, and Joseph M. Schober, “A Deep Convolutional Neural Network Trained on Representative Samples for Circulating Tumor Cell Detection,” IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

22.   Wenchao Jiang and Zhaozheng Yin, “Human Tracking using Wearable Sensors in the Pocket,” IEEE Global Conference on Signal & Information Processing (GlobalSIP), 2015.

23.   Srinivas Thandu, Sriram Chellappan, and Zhaozheng Yin, “Ranging Explosion Events Using Smartphones,” the 11th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2015.

24.   Wenchao Jiang and Zhaozheng Yin, “Human Activity Recognition using Wearable Sensors by Deep Convolutional Neural Networks,” Proceedings of the 23th ACM International Conference on Multimedia (ACMMM), 2015.

25.   Mingzhong Li and Zhaozheng Yin, “Co-restoring Multimodal Microscopy Images,” the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015.

26.   Wenchao Jiang and Zhaozheng Yin, “Restoring the Invisible Details in Differential Interference Contrast Microscopy Images,” the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015. (Young Scientist Award Runner-Up)

27.   Hang Su, Zhaozheng Yin, Takeo Kanade, and Seungil Huh, “Active Sample Selection and Correction Propagation on a Gradually-Augmented Graph”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

28.   Cao Dong, Ming Leu, and Zhaozheng Yin, “American Sign Language Alphabet Recognition using Microsoft Kinect,” IEEE Conference on Computer Vision and Patter Recognition (CVPR) Workshop on Observing and Understanding Hands in Action, 2015. (Best Paper Award)

29.   Yunxiang Mao, Zhaozheng Yin, and Joseph M. Schober, “Iteratively Training Classifiers for Circulating Tumor Cell Detection,” IEEE International Symposium on Biomedical Imaging (ISBI), 2015.

30.   Yunxiang Mao and Zhaozheng Yin, “Training a Scene-Specific Pedestrian Detector Using Tracklets,” IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.

31.   Zhaozheng Yin, Hang Su, Elmer Ker, Mingzhong Li, and Haohan Li, “Cell-Sensitive Microscopy Imaging for Cell Image Segmentation,” the 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014.

32.   Yunxiang Mao, Haohan Li, and Zhaozheng Yin, “Who Missed the Class? – Unifying Multi-face Detection, Tracking and Recognition in Videos,” IEEE Intl. Conference on Multimedia & Expo (ICME), 2014. (NSF Student Paper and Travel Award)

33.   Hang Su, Zhaozheng Yin, Takeo Kanade, and Seungil Huh, “Interactive Cell Segmentation based on Correction Propagation,” IEEE International Symposium on Biomedical Imaging (ISBI), 2014.

34.   Mingzhong Li, Zhaozheng Yin, Matthew S. Thimgan, and Ruwen Qin, “Track Fast-moving Tiny Flies by Adaptive LBP Feature and Cascaded Data Association,” IEEE Intl. Conf. on Image Processing (ICIP), 2013.

35.   Hang Su, Zhaozheng Yin, Seungil Huh, and Takeo Kanade, "Cell Segmentation Via Spectral Analysis on Phase Retardation Features", IEEE International Symposium on Biomedical Imaging (ISBI), 2013. 

36.   Hang Su, Zhaozheng Yin, Takeo Kanade, and Seungil Huh, “Phase Contrast Image Restoration via Dictionary Representation of Diffraction Patterns,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2012. (Young Scientist Award)

37.   Zhaozheng Yin, Daifei Ker, Silvina Junkers, Takeo Kanade, Mei Chen, Lee Weiss, and Phil Campbell, “Data-driven Prediction of Stem Cell Expansion Cultures,” The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp3577-3580, Boston, MA, USA, 2011.

38.   Ryoma Bise, Takeo Kanade, Zhaozheng Yin, and Seungil Huh, “Automatic Cell Tracking Applied to Analysis of Cell Migration in Wound Healing Assay,” The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp6174-6179, Boston, MA, USA, 2011.

39.   Zhaozheng Yin, Daifei Ker, and Takeo Kanade, “Restoring DIC Microscopy Images from Multiple Shear Directions,” The 22nd biennial International Conference on Information Processing in Medical Imaging (IPMI), 2011. (IPMI Young Investigator and Travel Award)

40.   Zhaozheng Yin and Takeo Kanade, “Restoring Artifact-free Microscopy Image Sequences,” IEEE International Symposium on Biomedical Imaging (ISBI), 2011. (NIH Young Investigator and Travel Award)

41.   Ryoma Bise, Zhaozheng Yin, and Takeo Kanade, “Reliable Cell Tracking by Global Data Association,” IEEE International Symposium on Biomedical Imaging (ISBI), 2011.

42.   Seungil Huh, Sungeun Eom, Ryoma Bise, Zhaozheng Yin, and Takeo Kanade, “Mitosis Detection for Stem Cell Tracking in Phase Contrast Microscopy Images,” IEEE International Symposium on Biomedical Imaging (ISBI), 2011.

43.   Takeo Kanade, Zhaozheng Yin, Ryoma Bise, Seungil Huh, Sungeun Eom, Michael Sandbothe, and Mei Chen, “Cell Image Analysis: Algorithms, System and Application,” IEEE Workshop on Applications of Computer Vision (WACV), 2011.

44.   Zhaozheng Yin, Kang Li, Takeo Kanade, and Mei Chen, “Understanding the Optics to Aid Microscopy Image Segmentation,” in Proceedings of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2010. (Young Scientist Award Runner-Up)

45.   Zhaozheng Yin, Ryoma Bise, Mei Chen, and Takeo Kanade, “Cell Segmentation in Phase Contrast Imagery Using a Bag of Local Bayesian Classifiers,” IEEE International Symposium on Biomedical Imaging (ISBI), 2010.

46.   Zhaozheng Yin and Robert Collins, “Shape Constrained Figure-Ground Segmentation and Tracking,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. (NSF Student Paper and Travel Award) (Best Doctoral Spotlight Award)

47.   Cha Zhang, Zhaozheng Yin, and Dinei Florencio, "Improving Depth Perception with Motion Parallax and Its Application in Teleconferencing," IEEE International Workshop on Multimedia Signal Processing (MMSP), 2009. (Top 10% Paper Award)

48.   Zhaozheng Yin and Robert Collins, “Online Figure-Ground Segmentation with Edge Pixel Classification,” in Proceedings of the 19th British Machine Vision Conference (BMVC), 2008.

49.   Zhaozheng Yin and Robert Collins, “Object Tracking and Detection after Occlusion via Numerical Hybrid Local and Global Mode-seeking,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

50.   Zhaozheng Yin, Fathi Porikli, and Robert Collins, "Likelihood Map Fusion for Visual Object Tracking," in Proceedings of IEEE Workshop on Application of Computer Vision (WACV), 2008.

51.   Zhaozheng Yin and Robert Collins, “On-the-fly Object Modeling while Tracking,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. (IEEE Student Paper and Travel Award)

52.   Zhaozheng Yin and Robert Collins, “Belief Propagation in a 3D MRF for Moving Object Detection,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. (IEEE Student Paper and Travel Award)

53.   Zhaozheng Yin and Robert Collins, “Spatial Divide and Conquer with Motion Cues for Tracking through Clutter,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006.

54.   Zhaozheng Yin and Robert Collins, “Moving Object Localization in Thermal Imagery by Forward-backward MHI,” in Proceedings of IEEE Conference on Computer Vision and Patter Recognition (CVPR) Workshop on Object Tracking and Classification in and Beyond the Visible Spectrum, 2006.