| 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 | 17516 | 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 | 9177 | 2019 |
| Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Y Zhu arXiv preprint arXiv:1506.06724, 2015 | 3306 | 2015 |
| Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 2015 | 3206 | 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 | 1044 | 2015 |
| Axial-deeplab: Stand-alone axial-attention for panoptic segmentation H Wang, Y Zhu, B Green, H Adam, A Yuille, LC Chen European conference on computer vision, 108-126, 2020 | 847 | 2020 |
| 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 | 832 | 2016 |
| 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 | 702 | 2020 |
| 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 | 596 | 2021 |
| 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 | 489 | 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 | 456 | 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 | 406 | 2017 |
| 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 | 218 | 2019 |
| 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 | 207 | 2015 |
| 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 | 160 | 2021 |
| 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 | 137 | 2019 |
| Cmt-deeplab: Clustering mask transformers for panoptic segmentation Q Yu, H Wang, D Kim, S Qiao, M Collins, Y Zhu, H Adam, A Yuille, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 97 | 2022 |
| Computer vision–ECCV 2018 LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam European Conference on Computer Vision 833, 2018 | 94 | 2018 |
| 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 | 89 | 2020 |
| Searching for mobilenetv3. arXiv 2019 A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... arXiv preprint arXiv:1905.02244, 1905 | 84 | 1905 |
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