| 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 | 585 | 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 | 384 | 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 | 372 | 2022 |
| Weight standardization S Qiao, H Wang, C Liu, W Shen, A Yuille | 154 | 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 | 108 | 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 | 91 | 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 | 61 | 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 | 58 | 2020 |
| CO2: Consistent Contrast for Unsupervised Visual Representation Learning C Wei, H Wang, W Shen, A Yuille International Conference on Learning Representations (ICLR), 2021 | 47 | 2021 |
| Scaling wide residual networks for panoptic segmentation LC Chen, H Wang, S Qiao arXiv preprint arXiv:2011.11675, 2020 | 40 | 2020 |
| 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 | 39 | 2022 |
| 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 | 39 | 2021 |
| 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 | 29 | 2021 |
| 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 | 22 | 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 | 20 | 2022 |
| CP: Copy-Paste Contrastive Pretraining for Semantic Segmentation F Wang, H Wang, C Wei, A Yuille, W Shen European Conference on Computer Vision, 499-515, 2022 | 16 | 2022 |
| k-means Mask Transformer Q Yu, H Wang, S Qiao, M Collins, Y Zhu, H Adam, A Yuille, LC Chen European Conference on Computer Vision, 288-307, 2022 | 13 | 2022 |
| Rethinking normalization and elimination singularity in neural networks S Qiao, H Wang, C Liu, W Shen, A Yuille arXiv preprint arXiv:1911.09738, 2019 | 13 | 2019 |
| Masked autoencoders enable efficient knowledge distillers Y Bai, Z Wang, J Xiao, C Wei, H Wang, AL Yuille, Y Zhou, C Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Unleashing the power of visual prompting at the pixel level J Wu, X Li, C Wei, H Wang, A Yuille, Y Zhou, C Xie arXiv preprint arXiv:2212.10556, 2022 | 8 | 2022 |
