| 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 | 816 | 2020 |
| 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 | 793 | 2022 |
| 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 | 581 | 2021 |
| Weight standardization S Qiao, H Wang, C Liu, W Shen, A Yuille | 167 | 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 | 165 | 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 | 122 | 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 | 93 | 2022 |
| 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 | 80 | 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 | 77 | 2020 |
| CO2: Consistent Contrast for Unsupervised Visual Representation Learning C Wei, H Wang, W Shen, A Yuille International Conference on Learning Representations (ICLR), 2021 | 68 | 2021 |
| Spectr: Spectral transformer for hyperspectral pathology image segmentation B Yun, Y Wang, J Chen, H Wang, W Shen, Q Li IEEE Transactions on Circuits and Systems for Video Technology, 2021 | 59 | 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 | 55 | 2021 |
| Scaling wide residual networks for panoptic segmentation LC Chen, H Wang, S Qiao arXiv preprint arXiv:2011.11675, 2020 | 54 | 2020 |
| 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 | 46 | 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 | 43 | 2022 |
| 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 | 40 | 2022 |
| Diffusion Models as Masked Autoencoders C Wei, K Mangalam, PY Huang, Y Li, H Fan, H Xu, H Wang, C Xie, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 36 | 2023 |
| 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 | 31 | 2023 |
| 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 | 30 | 2022 |
| 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 | 24 | 2022 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
