| Maniqa: Multi-dimension attention network for no-reference image quality assessment S Yang, T Wu, S Shi, S Lao, Y Gong, M Cao, J Wang, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 283 | 2022 |
| NTIRE 2022 challenge on perceptual image quality assessment J Gu, H Cai, C Dong, JS Ren, R Timofte, Y Gong, S Lao, S Shi, J Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 109 | 2022 |
| Openmmlab’s image classification toolbox and benchmark M Contributors URL: https://github. com/open-mmlab/mmclassification 5, 2020 | 71 | 2020 |
| Attentions help cnns see better: Attention-based hybrid image quality assessment network S Lao, Y Gong, S Shi, S Yang, T Wu, J Wang, W Xia, Y Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 68 | 2022 |
| Llama pro: Progressive llama with block expansion C Wu, Y Gan, Y Ge, Z Lu, J Wang, Y Feng, P Luo, Y Shan arXiv preprint arXiv:2401.02415, 2024 | 45 | 2024 |
| Global spectral filter memory network for video object segmentation Y Liu, R Yu, J Wang, X Zhao, Y Wang, Y Tang, Y Yang European Conference on Computer Vision, 648-665, 2022 | 40 | 2022 |
| Region-adaptive deformable network for image quality assessment S Shi, Q Bai, M Cao, W Xia, J Wang, Y Chen, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 33 | 2021 |
| Riformer: Keep your vision backbone effective but removing token mixer J Wang, S Zhang, Y Liu, T Wu, Y Yang, X Liu, K Chen, P Luo, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
| Learning adaptive warping for real-world rolling shutter correction M Cao, Z Zhong, J Wang, Y Zheng, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 25 | 2022 |
| Adder attention for vision transformer H Shu*, J Wang*, H Chen, L Li, Y Yang, Y Wang Advances in Neural Information Processing Systems 34, 19899-19909, 2021 | 24 | 2021 |
| Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots C Wu, Y Ge, Q Guo, J Wang, Z Liang, Z Lu, Y Shan, P Luo arXiv preprint arXiv:2405.07990, 2024 | 12 | 2024 |
| EfficientQAT: Efficient Quantization-Aware Training for Large Language Models M Chen, W Shao, P Xu, J Wang, P Gao, K Zhang, Y Qiao, P Luo arXiv preprint arXiv:2407.11062, 2024 | 11 | 2024 |
| Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models T Wu, C Tao, J Wang, Z Zhao, N Wong arXiv preprint arXiv:2404.02657, 2024 | 11 | 2024 |
| Universal segmentation at arbitrary granularity with language instruction Y Liu, C Zhang, Y Wang, J Wang, Y Yang, Y Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Towards real-world video deblurring by exploring blur formation process M Cao, Z Zhong, Y Fan, J Wang, Y Zhang, J Wang, Y Yang, Y Zheng European Conference on Computer Vision, 327-343, 2022 | 8 | 2022 |
| Attention probe: Vision transformer distillation in the wild J Wang, M Cao, S Shi, B Wu, Y Yang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
| Edge-free but structure-aware: Prototype-guided knowledge distillation from gnns to mlps T Wu, Z Zhao, J Wang, X Bai, L Wang, N Wong, Y Yang arXiv preprint arXiv:2303.13763, 2023 | 7 | 2023 |
| Mixture-of-Subspaces in Low-Rank Adaptation T Wu, J Wang, Z Zhao, N Wong arXiv preprint arXiv:2406.11909, 2024 | 6 | 2024 |
| Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast C Shi, C Yang, X Zhu, J Wang, T Wu, S Li, D Cai, Y Yang, Y Meng arXiv preprint arXiv:2405.14507, 2024 | 4 | 2024 |
| Adapting LLaMA Decoder to Vision Transformer J Wang, W Shao, M Chen, C Wu, Y Liu, T Wu, K Zhang, S Zhang, K Chen, ... arXiv preprint arXiv:2404.06773, 2024 | 2 | 2024 |
Yujiu YangSIGS,Tsinghua UniversityVerified email at sz.tsinghua.edu.cn
