| Semi-supervised semantic segmentation using unreliable pseudo-labels Y Wang, H Wang, Y Shen, J Fei, W Li, G Jin, L Wu, R Zhao, X Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 246 | 2022 |
| Fastflow: Unsupervised anomaly detection and localization via 2d normalizing flows J Yu, Y Zheng, X Wang, W Li, Y Wu, R Zhao, L Wu arXiv preprint arXiv:2111.07677, 2021 | 221 | 2021 |
| Mst: Masked self-supervised transformer for visual representation Z Li, Z Chen, F Yang, W Li, Y Zhu, C Zhao, R Deng, L Wu, R Zhao, M Tang, ... Advances in Neural Information Processing Systems 34, 13165-13176, 2021 | 125 | 2021 |
| Glancing at the patch: Anomaly localization with global and local feature comparison S Wang, L Wu, L Cui, Y Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 59 | 2021 |
| Focus your distribution: Coarse-to-fine non-contrastive learning for anomaly detection and localization Y Zheng, X Wang, R Deng, T Bao, R Zhao, L Wu 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 47 | 2022 |
| Uni6d: A unified cnn framework without projection breakdown for 6d pose estimation X Jiang, D Li, H Chen, Y Zheng, R Zhao, L Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 31 | 2022 |
| Univip: A unified framework for self-supervised visual pre-training Z Li, Y Zhu, F Yang, W Li, C Zhao, Y Chen, Z Chen, J Xie, L Wu, R Zhao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 31 | 2022 |
| Learning from future: A novel self-training framework for semantic segmentation Y Du, Y Shen, H Wang, J Fei, W Li, L Wu, R Zhao, Z Fu, Q Liu Advances in Neural Information Processing Systems 35, 4749-4761, 2022 | 19 | 2022 |
| Balancing logit variation for long-tailed semantic segmentation Y Wang, J Fei, H Wang, W Li, T Bao, L Wu, R Zhao, Y Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Obj2seq: Formatting objects as sequences with class prompt for visual tasks Z Chen, Y Zhu, Z Li, F Yang, W Li, H Wang, C Zhao, L Wu, R Zhao, ... Advances in Neural Information Processing Systems 35, 2494-2506, 2022 | 15 | 2022 |
| Benchmarking unsupervised anomaly detection and localization Y Zheng, X Wang, Y Qi, W Li, L Wu arXiv preprint arXiv:2205.14852, 2022 | 9 | 2022 |
| Defect classification for specular surfaces based on deflectometry and multi-modal fusion network J Guan, J Fei, W Li, X Jiang, L Wu, Y Liu, J Xi Optics and Lasers in Engineering 163, 107488, 2023 | 8 | 2023 |
| MIAD: A maintenance inspection dataset for unsupervised anomaly detection T Bao, J Chen, W Li, X Wang, J Fei, L Wu, R Zhao, Y Zheng Proceedings of the IEEE/CVF International Conference on Computer Vision, 993 …, 2023 | 8 | 2023 |
| 3d model-based zero-shot pose estimation pipeline J Chen, M Sun, T Bao, R Zhao, L Wu, Z He arXiv preprint arXiv:2305.17934, 2023 | 6 | 2023 |
| Exploring stochastic autoregressive image modeling for visual representation Y Qi, F Yang, Y Zhu, Y Liu, L Wu, R Zhao, W Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2074-2081, 2023 | 5 | 2023 |
| Pulling target to source: A new perspective on domain adaptive semantic segmentation H Wang, Y Shen, J Fei, W Li, L Wu, Y Wang, Z Zhang arXiv preprint arXiv:2305.13752, 2023 | 4 | 2023 |
| Uni6Dv2: Noise elimination for 6D pose estimation M Sun, Y Zheng, T Bao, J Chen, G Jin, L Wu, R Zhao, X Jiang International Conference on Artificial Intelligence and Statistics, 1832-1844, 2023 | 4 | 2023 |
| Efficient masked autoencoders with self-consistency Z Li, Y Zhu, Z Chen, W Li, C Zhao, L Wu, R Zhao, M Tang, J Wang arXiv preprint arXiv:2302.14431, 2023 | 3 | 2023 |
| Train once, get a family: State-adaptive balances for offline-to-online reinforcement learning S Wang, Q Yang, J Gao, M Lin, H Chen, L Wu, N Jia, S Song, G Huang Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers G Jin, F Yang, M Sun, R Zhao, Y Liu, W Li, T Bao, L Wu, X Zeng, R Zhao arXiv preprint arXiv:2303.08481, 2023 | 1 | 2023 |
Rui ZhaoSenseTime Group LimitedVerified email at sensetime.com
