| A hierarchical deep temporal model for group activity recognition MS Ibrahim, S Muralidharan, Z Deng, A Vahdat, G Mori Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 623 | 2016 |
| Structure inference machines: Recurrent neural networks for analyzing relations in group activity recognition Z Deng, A Vahdat, H Hu, G Mori Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 303 | 2016 |
| Learning structured inference neural networks with label relations H Hu, GT Zhou, Z Deng, Z Liao, G Mori Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 186* | 2016 |
| Deep structured models for group activity recognition Z Deng, M Zhai, L Chen, Y Liu, S Muralidharan, MJ Roshtkhari, G Mori arXiv preprint arXiv:1506.04191, 2015 | 121 | 2015 |
| Talking with hands 16.2 m: A large-scale dataset of synchronized body-finger motion and audio for conversational motion analysis and synthesis G Lee, Z Deng, S Ma, T Shiratori, SS Srinivasa, Y Sheikh Proceedings of the IEEE/CVF International Conference on Computer Vision, 763-772, 2019 | 111 | 2019 |
| Remember the past: Distilling datasets into addressable memories for neural networks Z Deng, O Russakovsky Advances in Neural Information Processing Systems 35, 34391-34404, 2022 | 97 | 2022 |
| Evolving graphical planner: Contextual global planning for vision-and-language navigation Z Deng, K Narasimhan, O Russakovsky Advances in Neural Information Processing Systems 33, 20660-20672, 2020 | 86 | 2020 |
| Sparsely aggregated convolutional networks L Zhu, R Deng, M Maire, Z Deng, G Mori, P Tan Proceedings of the European Conference on Computer Vision (ECCV), 186-201, 2018 | 81 | 2018 |
| Babywalk: Going farther in vision-and-language navigation by taking baby steps W Zhu, H Hu, J Chen, Z Deng, V Jain, E Ie, F Sha arXiv preprint arXiv:2005.04625, 2020 | 80 | 2020 |
| Factorized variational autoencoders for modeling audience reactions to movies Z Deng, R Navarathna, P Carr, S Mandt, Y Yue, I Matthews, G Mori Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 66 | 2017 |
| Generic tubelet proposals for action localization J He, Z Deng, MS Ibrahim, G Mori 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 343-351, 2018 | 35 | 2018 |
| Vision-language dataset distillation X Wu, B Zhang, Z Deng, O Russakovsky arXiv preprint arXiv:2308.07545, 2023 | 26* | 2023 |
| Labelbank: Revisiting global perspectives for semantic segmentation H Hu, Z Deng, GT Zhou, F Sha, G Mori arXiv preprint arXiv:1703.09891, 2017 | 25* | 2017 |
| Continuous graph flow Z Deng, M Nawhal, L Meng, G Mori arXiv preprint arXiv:1908.02436, 2019 | 21 | 2019 |
| Probabilistic neural programmed networks for scene generation Z Deng, J Chen, Y Fu, G Mori Advances in Neural Information Processing Systems 31, 2018 | 20 | 2018 |
| Boundary guided learning-free semantic control with diffusion models Y Zhu, Y Wu, Z Deng, O Russakovsky, Y Yan Advances in Neural Information Processing Systems 36, 78319-78346, 2023 | 18 | 2023 |
| A zero-shot language agent for computer control with structured reflection T Li, G Li, Z Deng, B Wang, Y Li arXiv preprint arXiv:2310.08740, 2023 | 18 | 2023 |
| Learning action primitives for multi-level video event understanding T Lan, L Chen, Z Deng, GT Zhou, G Mori Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015 | 13 | 2015 |
| Take the scenic route: Improving generalization in vision-and-language navigation F Yu, Z Deng, K Narasimhan, O Russakovsky Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 12 | 2020 |
| Distributional dataset distillation with subtask decomposition T Qin, Z Deng, D Alvarez-Melis arXiv preprint arXiv:2403.00999, 2024 | 7 | 2024 |
Greg MoriResearch Director, Borealis AI; Professor, School of Computing Science, Simon Fraser UniversityOverená e-mailová adresa na: cs.sfu.ca
