| Encoder-decoder with atrous separable convolution for semantic image segmentation LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam Proceedings of the European conference on computer vision (ECCV), 801-818, 2018 | 10465 | 2018 |
| Searching for mobilenetv3 A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 4380 | 2019 |
| Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 2015 | 2841 | 2015 |
| Aligning books and movies: Towards story-like visual explanations by watching movies and reading books Y Zhu, R Kiros, R Zemel, R Salakhutdinov, R Urtasun, A Torralba, S Fidler Proceedings of the IEEE international conference on computer vision, 19-27, 2015 | 2343 | 2015 |
| 3d object proposals for accurate object class detection X Chen, K Kundu, Y Zhu, AG Berneshawi, H Ma, S Fidler, R Urtasun Advances in neural information processing systems 28, 2015 | 867 | 2015 |
| Movieqa: Understanding stories in movies through question-answering M Tapaswi, Y Zhu, R Stiefelhagen, A Torralba, R Urtasun, S Fidler Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 663 | 2016 |
| Axial-deeplab: Stand-alone axial-attention for panoptic segmentation H Wang, Y Zhu, B Green, H Adam, A Yuille, LC Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 507 | 2020 |
| Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 424 | 2020 |
| Searching for efficient multi-scale architectures for dense image prediction LC Chen, M Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ... Advances in neural information processing systems 31, 2018 | 405 | 2018 |
| 3d object proposals using stereo imagery for accurate object class detection X Chen, K Kundu, Y Zhu, H Ma, S Fidler, R Urtasun IEEE transactions on pattern analysis and machine intelligence 40 (5), 1259-1272, 2017 | 365 | 2017 |
| Spatially adaptive computation time for residual networks M Figurnov, MD Collins, Y Zhu, L Zhang, J Huang, D Vetrov, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 326 | 2017 |
| Max-deeplab: End-to-end panoptic segmentation with mask transformers H Wang, Y Zhu, H Adam, A Yuille, LC Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 319 | 2021 |
| segdeepm: Exploiting segmentation and context in deep neural networks for object detection Y Zhu, R Urtasun, R Salakhutdinov, S Fidler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 195 | 2015 |
| Deeperlab: Single-shot image parser TJ Yang, MD Collins, Y Zhu, JJ Hwang, T Liu, X Zhang, V Sze, ... arXiv preprint arXiv:1902.05093, 2019 | 170 | 2019 |
| Spgnet: Semantic prediction guidance for scene parsing B Cheng, LC Chen, Y Wei, Y Zhu, Z Huang, J Xiong, TS Huang, WM Hwu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 108 | 2019 |
| Vip-deeplab: Learning visual perception with depth-aware video panoptic segmentation S Qiao, Y Zhu, H Adam, A Yuille, LC Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 93 | 2021 |
| Search to distill: Pearls are everywhere but not the eyes Y Liu, X Jia, M Tan, R Vemulapalli, Y Zhu, B Green, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 64 | 2020 |
| Panoptic-deeplab B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen arXiv preprint arXiv:1910.04751, 2019 | 51 | 2019 |
| Step: Segmenting and tracking every pixel M Weber, J Xie, M Collins, Y Zhu, P Voigtlaender, H Adam, B Green, ... arXiv preprint arXiv:2102.11859, 2021 | 39 | 2021 |
| Joint representation learning and novel category discovery on single-and multi-modal data X Jia, K Han, Y Zhu, B Green Proceedings of the IEEE/CVF International Conference on Computer Vision, 610-619, 2021 | 32 | 2021 |
Sanja FidlerUniversity of Toronto, NVIDIAEmail verificata su cs.toronto.edu
