| 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 | 461 | 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 | 293 | 2021 |
| ibot: Image bert pre-training with online tokenizer J Zhou, C Wei, H Wang, W Shen, C Xie, A Yuille, T Kong International Conference on Learning Representations (ICLR), 2022 | 221 | 2022 |
| Weight standardization S Qiao, H Wang, C Liu, W Shen, A Yuille | 145 | 2019 |
| Micro-batch training with batch-channel normalization and weight standardization S Qiao, H Wang, C Liu, W Shen, A Yuille arXiv preprint arXiv:1903.10520, 2019 | 82 | 2019 |
| Semantic-aware knowledge preservation for zero-shot sketch-based image retrieval Q Liu, L Xie, H Wang, AL Yuille Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 75 | 2019 |
| Elastic: Improving cnns with dynamic scaling policies H Wang, A Kembhavi, A Farhadi, AL Yuille, M Rastegari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 58 | 2019 |
| Combining compositional models and deep networks for robust object classification under occlusion A Kortylewski, Q Liu, H Wang, Z Zhang, A Yuille Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 49 | 2020 |
| CO2: Consistent Contrast for Unsupervised Visual Representation Learning C Wei, H Wang, W Shen, A Yuille International Conference on Learning Representations (ICLR), 2021 | 41 | 2021 |
| Scaling wide residual networks for panoptic segmentation LC Chen, H Wang, S Qiao arXiv preprint arXiv:2011.11675, 2020 | 29 | 2020 |
| Spectr: Spectral transformer for hyperspectral pathology image segmentation B Yun, Y Wang, J Chen, H Wang, W Shen, Q Li arXiv preprint arXiv:2103.03604, 2021 | 27 | 2021 |
| 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 | 17 | 2022 |
| Deeplab2: A tensorflow library for deep labeling M Weber, H Wang, S Qiao, J Xie, MD Collins, Y Zhu, L Yuan, D Kim, Q Yu, ... arXiv preprint arXiv:2106.09748, 2021 | 17 | 2021 |
| Rethinking normalization and elimination singularity in neural networks S Qiao, H Wang, C Liu, W Shen, A Yuille arXiv preprint arXiv:1911.09738, 2019 | 12 | 2019 |
| A simple data mixing prior for improving self-supervised learning S Ren, H Wang, Z Gao, S He, A Yuille, Y Zhou, C Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| Masked autoencoders enable efficient knowledge distillers Y Bai, Z Wang, J Xiao, C Wei, H Wang, A Yuille, Y Zhou, C Xie arXiv preprint arXiv:2208.12256, 2022 | 9 | 2022 |
| TubeFormer-DeepLab: Video Mask Transformer D Kim, J Xie, H Wang, S Qiao, Q Yu, HS Kim, H Adam, IS Kweon, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
| CP: Copy-Paste Contrastive Pretraining for Semantic Segmentation F Wang, H Wang, C Wei, A Yuille, W Shen Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 7 | 2022 |
| Semantic mapping for safe and comfortable navigation of a brain-controlled wheelchair Z Wei, W Chen, J Wang, H Wang, K Li Intelligent Robotics and Applications: 6th International Conference, ICIRA …, 2013 | 7 | 2013 |
| Searching for trionet: Combining convolution with local and global self-attention H Pi, H Wang, Y Li, Z Li, A Yuille arXiv preprint arXiv:2111.07547, 2021 | 2 | 2021 |
