| BING: Binarized normed gradients for objectness estimation at 300fps MM Cheng, Z Zhang, WY Lin, P Torr Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 1345 | 2014 |
| Zero-Shot Learning via Semantic Similarity Embedding Z Zhang, V Saligrama International Conference on Computer Vision (ICCV), 2015 | 664 | 2015 |
| Zero-shot learning via joint latent similarity embedding Z Zhang, V Saligrama proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 402 | 2016 |
| Attention-based multimodal fusion for video description C Hori, T Hori, TY Lee, Z Zhang, B Harsham, JR Hershey, TK Marks, ... International Conference on Computer Vision (ICCV), 2017 | 323 | 2017 |
| Motion context: A new representation for human action recognition Z Zhang, Y Hu, S Chan, LT Chia Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 205 | 2008 |
| Advancing biosensors with machine learning F Cui, Y Yue, Y Zhang, Z Zhang, HS Zhou ACS sensors 5 (11), 3346-3364, 2020 | 154 | 2020 |
| Efficient training of very deep neural networks for supervised hashing Z Zhang, Y Chen, V Saligrama Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 137 | 2016 |
| Proposal generation for object detection using cascaded ranking svms Z Zhang, J Warrell, PHS Torr CVPR 2011, 1497-1504, 2011 | 121 | 2011 |
| Zero-shot recognition via structured prediction Z Zhang, V Saligrama Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 108 | 2016 |
| Exploiting the anisotropy of correlation filter learning for visual tracking Y Sui, Z Zhang, G Wang, Y Tang, L Zhang International Journal of Computer Vision 127, 1084-1105, 2019 | 74* | 2019 |
| A Novel Visual Word Co-occurrence Model for Person Re-identification Z Zhang, Y Chen, V Saligrama ECCV Workshop on Visual Surveillance and Re-Identification, 2014 | 71 | 2014 |
| Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks Z Zhang, M Brand Advances in Neural Information Processing Systems 30, 1719--1728, 2017 | 62 | 2017 |
| Sequential Optimization for Efficient High-Quality Object Proposal Generation Z Zhang, Y Liu, X Chen, Y Zhu, MM Cheng, V Saligrama, PHS Torr PAMI, 2017 | 59* | 2017 |
| Rnns incrementally evolving on an equilibrium manifold: A panacea for vanishing and exploding gradients? A Kag, Z Zhang, V Saligrama International Conference on Learning Representations, 2020 | 48* | 2020 |
| Group Membership Prediction Z Zhang, Y Chen, V Saligrama International Conference on Computer Vision (ICCV), 2015 | 47 | 2015 |
| Learning to segment 3d point clouds in 2d image space Y Lyu, X Huang, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 42 | 2020 |
| PRISM: Person Re-Identification via Structured Matching Z Zhang, V Saligrama IEEE Transactions on Circuits and Systems for Video Technology, 2016 | 42* | 2016 |
| Integrative Analysis of Multi-Dimensional Imaging Genomics Data for Alzheimer's Disease Prediction Z Zhang, H Huang, D Shen Front. Aging Neurosci., 2014 | 38 | 2014 |
| Learning anchor planes for classification Z Zhang, L Ladicky, P Torr, A Saffari Advances in Neural Information Processing Systems 24, 2011 | 37 | 2011 |
| BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning Z Zhang, Y Wu, G Wang arXiv preprint arXiv:1711.06959, 2017 | 30 | 2017 |
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
