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Chi Li
Chi Li
Apple Inc, Johns Hopkins University
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A unified framework for multi-view multi-class object pose estimation
C Li, J Bai, GD Hager
Proceedings of the european conference on computer vision (eccv), 254-269, 2018
1462018
Deep supervision with shape concepts for occlusion-aware 3d object parsing
C Li, M Zeeshan Zia, QH Tran, X Yu, GD Hager, M Chandraker
Proceedings of the IEEE conference on computer vision and pattern …, 2017
922017
Scalable exemplar-based subspace clustering on class-imbalanced data
C You, C Li, DP Robinson, R Vidal
Proceedings of the European Conference on Computer Vision (ECCV), 67-83, 2018
832018
Deep Supervision with Intermediate Concepts
C Li, ZM Zeeshan, QH Tran, X Yu, GD Hager, M Chandraker
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 41 (8 …, 2019
592019
Beyond spatial pooling: fine-grained representation learning in multiple domains
C Li, A Reiter, GD Hager
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
352015
Incremental scene understanding on dense SLAM
C Li, H Xiao, K Tateno, F Tombari, N Navab, GD Hager
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
302016
Hierarchical semantic parsing for object pose estimation in densely cluttered scenes
C Li, J Bohren, E Carlson, GD Hager
2016 IEEE international conference on robotics and automation (ICRA), 5068-5075, 2016
282016
Landmark localization on objects in images using convolutional neural networks
MZ Zia, Q Tran, X Yu, M Chandraker, C Li
US Patent 10,289,934, 2019
21*2019
Mechanisms of transcriptional activation and repression can both involve TFIID
JL Manley, M Um, C Li, H Ashali
Philosophical Transactions of the Royal Society of London. Series B …, 1996
171996
Self-representation based unsupervised exemplar selection in a union of subspaces
C You, C Li, DP Robinson, R Vidal
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (5), 2698-2711, 2020
112020
Action recognition system with landmark localization on objects in images using convolutional neural networks
MZ Zia, Q Tran, X Yu, M Chandraker, C Li
US Patent 10,331,974, 2019
102019
Bridging the robot perception gap with mid-level vision
C Li, J Bohren, GD Hager
Robotics Research: Volume 2, 5-20, 2018
102018
Robust object tracking in crowd dynamic scenes using explicit stereo depth
C Li, L Lu, GD Hager, J Tang, H Wang
Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013
102013
Advanced driver-assistance system with landmark localization on objects in images using convolutional neural networks
MZ Zia, QH Tran, X Yu, M Chandraker, C Li
US Patent 10,289,935, 2019
72019
Advanced driver-assistance system with landmark localization on objects in images using convolutional neural networks
MZ Zia, Q Tran, X Yu, M Chandraker, C Li
US Patent 10,289,935, 2019
72019
Surveillance system with landmark localization on objects in images using convolutional neural networks
MZ Zia, Q Tran, X Yu, M Chandraker, C Li
US Patent 10,289,936, 2019
2019
Robust Learning Architectures for Perceiving Object Semantics and Geometry
C Li
Johns Hopkins University, 2018
2018
Depth-Driven Multi-Target Tracking in Dynamic Scenes
C Li, H Wang, J Tang, L Lu, GD Hager
CN Patent ZL 2012 1 0073384, 0., 2015
2015
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing–Supplementary Material
C Li, MZ Zia, QH Tran, X Yu, GD Hager, M Chandraker
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