| Probabilistic end-to-end noise correction for learning with noisy labels K Yi, J Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 463 | 2019 |
| mc-BEiT: Multi-choice Discretization for Image BERT Pre-training X Li, Y Ge, K Yi, Z Hu, Y Shan, LY Duan European Conference on Computer Vision, 231-246, 2022 | 31 | 2022 |
| Masked image modeling with denoising contrast K Yi, Y Ge, X Li, S Yang, D Li, J Wu, Y Shan, X Qie arXiv preprint arXiv:2205.09616, 2022 | 28 | 2022 |
| Masked visual reconstruction in language semantic space S Yang, Y Ge, K Yi, D Li, Y Shan, X Qie, X Wang arXiv preprint arXiv:2301.06958 2, 2023 | 3 | 2023 |
| Vit-lens: Towards omni-modal representations W Lei, Y Ge, J Zhang, D Sun, K Yi, Y Shan, MZ Shou arXiv preprint arXiv:2308.10185, 2023 | 2 | 2023 |
| Rils: Masked visual reconstruction in language semantic space S Yang, Y Ge, K Yi, D Li, Y Shan, X Qie, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| ViT-Lens-2: Gateway to Omni-modal Intelligence W Lei, Y Ge, K Yi, J Zhang, D Gao, D Sun, Y Ge, Y Shan, MZ Shou arXiv preprint arXiv:2311.16081, 2023 | 1 | 2023 |
| PENCIL: Deep Learning with Noisy Labels K Yi, GH Wang, J Wu arXiv preprint arXiv:2202.08436, 2022 | 1 | 2022 |
| SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation Y Ge, S Zhao, J Zhu, Y Ge, K Yi, L Song, C Li, X Ding, Y Shan arXiv preprint arXiv:2404.14396, 2024 | | 2024 |
| A Robustly and Effectively Optimized Pretraining Approach for Masked Autoencoder R Xu, Y Ge, K Yi, X XU, Y Wang, YC Chen, H Chen, Y Shan | | 2022 |
Yixiao Ge (葛艺潇)Tencent ARC Lab & Tencent AI LabVerified email at tencent.com
