| 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 | 166 | 2018 |
| 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 | 98 | 2017 |
| 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 | 90 | 2018 |
| 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 | 74 | 2019 |
| 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 | 36 | 2015 |
| 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 | 35 | 2016 |
| 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 | 31 | 2016 |
| 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 | 16 | 1996 |
| 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 | 15 | 2020 |
| 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 | 15 | 2019 |
| 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 | 11 | 2019 |
| 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 | 11 | 2019 |
| Bridging the robot perception gap with mid-level vision C Li, J Bohren, GD Hager Robotics Research: Volume 2, 5-20, 2018 | 10 | 2018 |
| 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 | 10 | 2013 |
| 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 | | |
Gregory HagerMandell Bellmore Professor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
