| A Survey on Multimodal Large Language Models S Yin, C Fu, S Zhao, K Li, X Sun, T Xu, E Chen arXiv preprint arXiv:2306.13549, 2023 | 330 | 2023 |
| Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification F Yang, K Li, Z Zhong, Z Luo, X Sun, H Cheng, X Guo, F Huang, R Ji, S Li Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020 | 172 | 2020 |
| CF-ViT: A General Coarse-to-Fine Method for Vision Transformer M Chen, M Lin, K Li, Y Shen, Y Wu, F Chao, R Ji Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, Oral), 2022 | 147* | 2022 |
| Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer Y Xu, Z Zhang, M Zhang, K Sheng, K Li, W Dong, L Zhang, C Xu, X Sun Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021 | 125 | 2021 |
| Toward an Expert Level of Lung Cancer Detection and Classification using a Deep Convolutional Neural Network C Zhang, X Sun, K Dang, K Li, X Guo, J Chang, Z Yu, F Huang, Y Wu, ... The Oncologist 24 (9), 1159-1165, 2019 | 121 | 2019 |
| Pruning Filter in Filter F Meng, H Cheng, K Li, H Luo, X Guo, G Lu, X Sun Advances in Neural Information Processing Systems (NeurIPS), 2020 | 110 | 2020 |
| ISTR: End-to-End Instance Segmentation with Transformers J Hu, L Cao, Y Lu, SC Zhang, Y Wang, K Li, F Huang, L Shao, R Ji arXiv preprint arXiv:2105.00637, 2021 | 92 | 2021 |
| Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning J Wang, Y Gao, K Li, Y Lin, AJ Ma, X Sun Computer Vision and Pattern Recognition (CVPR), 2020 | 92 | 2020 |
| Semi-Supervised Adversarial Monocular Depth Estimation R Ji, K Li, Y Wang, X Sun, F Guo, X Guo, Y Wu, F Huang, J Luo IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 | 52 | 2019 |
| PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining Y Gao, J Liu, Z Xu, J Zhang, K Li, R Ji, C Shen Advances in Neural Information Processing Systems (NeurIPS, Oral), 2022 | 51 | 2022 |
| Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion J Wang, Y Gao, K Li, X Jiang, X Guo, R Ji, X Sun Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020 | 49 | 2020 |
| Woodpecker: Hallucination correction for multimodal large language models S Yin, C Fu, S Zhao, T Xu, H Wang, D Sui, Y Shen, K Li, X Sun, E Chen arXiv preprint arXiv:2310.16045, 2023 | 42 | 2023 |
| Filter Grafting for Deep Neural Networks F Meng, H Cheng, K Li, Z Xu, R Ji, X Sun, G Lu Computer Vision and Pattern Recognition (CVPR), 2020 | 42 | 2020 |
| Training-free Transformer Architecture Search Q Zhou, K Sheng, X Zheng, K Li, X Sun, Y Tian, J Chen, R Ji Computer Vision and Pattern Recognition (CVPR, Oral), 2022 | 38 | 2022 |
| DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning Y Gao, JX Zhuang, S Lin, H Cheng, X Sun, K Li, C Shen European Conference on Computer Vision (ECCV, Oral), 237-253, 2022 | 37 | 2022 |
| Learning Best Combination for Efficient N: M Sparsity Y Zhang, M Lin, Z Lin, Y Luo, K Li, F Chao, Y Wu, R Ji Advances in Neural Information Processing Systems (NeurIPS), 2022 | 31 | 2022 |
| ARM: Any-Time Super-Resolution Method B Chen, M Lin, K Sheng, M Zhang, P Chen, K Li, L Cao, R Ji European Conference on Computer Vision (ECCV), 2022 | 23 | 2022 |
| On the consistency training for open-set semi-supervised learning H Luo, H Cheng, Y Gao, K Li, M Zhang, F Meng, X Guo, F Huang, X Sun arXiv preprint arXiv:2101.08237 3 (6), 2021 | 23* | 2021 |
| Long-Tailed Class Incremental Learning X Liu, YS Hu, XS Cao, AD Bagdanov, K Li, MM Cheng European Conference on Computer Vision (ECCV), 495-512, 2022 | 21 | 2022 |
| Architecture Disentanglement for Deep Neural Networks J Hu, L Cao, Q Ye, T Tong, SC Zhang, K Li, F Huang, R Ji, L Shao International Conference on Computer Vision (ICCV, Oral), 2020 | 20 | 2020 |
Xing Sun 孙星TencentGeverifieerd e-mailadres voor eee.hku.hk
