Publications
Journal Papers
(underscore denotes Post-Doctoral/graduate students I have been working with)
1.
Md Moniruzzaman, Zhaozheng Yin, Zhihai He, Ming Leu, and Ruwen
Qin, “Jointly-Learnt Networks for Future Action Anticipation via
Self-Knowledge Distillation and Cycle Consistency,” IEEE
Transactions on Circuits and Systems for Video Technology. Accepted.
2023. (Impact Factor: 5.859)
2. Liang Han, Hang Su
and Zhaozheng Yin, “Phase Contrast Image Restoration by Mathematically
Formulating Its Imaging Principle and Reversing the Formulation with Deep
Neural Networks,” IEEE
Transactions on Medical Imaging. 2023. (Impact Factor: 11.037)
3.
Liang
Han,
and Zhaozheng Yin, “Global Memory and Local Continuity for Video Object
Detection,” IEEE Transaction on Multimedia. 2022. Accepted.
(Impact Factor: 8.182)
4.
Muhammad
Monjurul Karim, Yu
Li; Ruwen Qin, and Zhaozheng Yin, “A Dynamic Spatial-temporal
Attention Network for Early Anticipation of Traffic Accidents," IEEE
Transactions on Intelligent Transportation Systems. 2022. Accepted.
(Impact Factor: 9.551)
5.
Haodong Chen, Ming
Leu, and Zhaozheng Yin, “Real-Time Multi-modal Human-Robot Collaboration
Using Gestures and Speech,” Journal of Manufacturing Science and
Engineering. 2022. Accepted. (Impact Factor: 3.952)
6.
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)
7.
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)
8.
Xiaolong Xia, Sara
Fayek, Xiong Zhang, and Zhaozheng Yin, “A Table Method for Coded Target Decoding
with Application to 3-D Reconstruction of Soil Specimens during Triaxial
Testing,” Acta Geotechnica. 2021. Accepted. (Impact Factor: 5.856)
9.
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)
10.
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)
11.
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)
12.
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)
13.
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)
14.
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)
15.
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)
16.
Tianyi Zhao, and
Zhaozheng Yin, “Weakly Supervised Cell Segmentation by Point
Annotation,” IEEE Transactions on Medical Imaging. 2021. Accepted. (Impact
Factor: 10.048)
17.
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)
18.
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).
19.
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)
20.
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)
21.
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)
22.
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)
23.
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)
24.
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)
25.
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)
26.
Liang Han
and Zhaozheng Yin, “Learning to Transfer Microscopy Image
Modalities,” Machine Vision and Applications. 29: 1257-1267, 2018. (Impact Factor: 2.012)
27.
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).
28.
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).
29.
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)
30.
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).
31.
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)
32.
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).
33.
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).
34.
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)
35.
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)
36.
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)
37.
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)
38.
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)
39.
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).
40.
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)
41.
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)
42.
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)
43.
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.
Hritam Basak, and Zhaozheng Yin,
“Pseudo-label Guided Contrastive Learning for Semi-supervised Medical
Image Segmentation,” IEEE/CVF Conference on Computer Vision and
Pattern Recognition (CVPR), 2023.
2.
Jianxiang Dong, and Zhaozheng Yin,
“Boundary-aware Temporal Sentence Grounding with Adaptive Proposal
Refinement,” the 16th Asian Conference on Computer Vision
(ACCV), 2022.
3.
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.
4.
Zuhui Wang, and Zhaozheng Yin,
“Annotation-efficient Cell Counting,” the 24th International Conference on Medical Image Computing
and Computer Assisted Intervention (MICCAI),
2021.
5.
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.
6.
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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14.
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.
15. 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)
16.
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)
17.
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.
18.
Liang
Han and Zhaozheng Yin,
“Refocusing Phase Contrast Microscopy Images,” the 20th International Conference on Medical Image Computing and
Computer Assisted Intervention (MICCAI),
2017.
19.
Haohan
Li, Zhaozheng Yin, and Yingke Xu,
“A Deep Learning Framework for Automated Vesicle Fusion Detection,” IEEE International Symposium on Biomedical Imaging
(ISBI), 2017.
20.
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.
21. 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.
22.
Mingzhong Li and Zhaozheng Yin,
“Cell Segmentation using Stable Extremal Regions in Multi-exposure
Microscopy Images,” IEEE
International Symposium on Biomedical Imaging (ISBI), 2016.
23.
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.
24.
Wenchao
Jiang and Zhaozheng Yin, “Human Tracking using Wearable
Sensors in the Pocket,” IEEE Global Conference on Signal &
Information Processing (GlobalSIP),
2015.
25.
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.
26.
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.
27.
Mingzhong
Li and Zhaozheng Yin, “Co-restoring Multimodal
Microscopy Images,” the 18th
International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2015.
28.
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)
29.
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.
30. 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)
31.
Yunxiang
Mao, Zhaozheng Yin, and Joseph M. Schober, “Iteratively
Training Classifiers for Circulating Tumor Cell Detection,” IEEE International Symposium on Biomedical
Imaging (ISBI), 2015.
32.
Yunxiang
Mao and Zhaozheng Yin, “Training a Scene-Specific
Pedestrian Detector Using Tracklets,” IEEE
Winter Conference on Applications of Computer Vision (WACV), 2015.
33.
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.
34. 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)
35.
Hang Su,
Zhaozheng Yin, Takeo Kanade, and Seungil Huh, “Interactive Cell Segmentation
based on Correction Propagation,” IEEE
International Symposium on Biomedical Imaging (ISBI), 2014.
36. 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.
37.
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.
38.
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)
39.
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.
40.
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.
41.
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)
42.
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)
43. Ryoma Bise, Zhaozheng Yin, and
Takeo Kanade, “Reliable Cell Tracking by Global
Data Association,” IEEE
International Symposium on Biomedical Imaging (ISBI), 2011.
44. 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.
45. 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.
46.
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)
47.
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.
48.
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)
49.
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)
50.
Zhaozheng Yin and Robert Collins, “Online
Figure-Ground Segmentation with Edge Pixel Classification,” in Proceedings of the 19th British Machine
Vision Conference (BMVC), 2008.
51.
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.
52.
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.
53.
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)
54.
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)
55.
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.
56.
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.