| End-to-end object detection with fully convolutional network J Wang, L Song, Z Li, H Sun, J Sun, N Zheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 258 | 2021 |
| Yolo-world: Real-time open-vocabulary object detection T Cheng, L Song, Y Ge, W Liu, X Wang, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 241 | 2024 |
| Learning dynamic routing for semantic segmentation Y Li, L Song, Y Chen, Z Li, X Zhang, X Wang, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 210 | 2020 |
| Gpt4tools: Teaching large language model to use tools via self-instruction R Yang, L Song, Y Li, S Zhao, Y Ge, X Li, Y Shan Advances in Neural Information Processing Systems 36, 71995-72007, 2023 | 186 | 2023 |
| Unireplknet: A universal perception large-kernel convnet for audio video point cloud time-series and image recognition X Ding, Y Zhang, Y Ge, S Zhao, L Song, X Yue, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 145 | 2024 |
| Tacnet: Transition-aware context network for spatio-temporal action detection L Song, S Zhang, G Yu, H Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 109 | 2019 |
| 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 | 64 | 2024 |
| Learnable tree filter for structure-preserving feature transform L Song, Y Li, Z Li, G Yu, H Sun, J Sun, N Zheng Advances in Neural Information Processing Systems, 1711-1721, 2019 | 56 | 2019 |
| Fine-grained dynamic head for object detection L Song, Y Li, Z Jiang, Z Li, H Sun, J Sun, N Zheng Advances in Neural Information Processing Systems 33, 11131-11141, 2020 | 51 | 2020 |
| Glnet: Global local network for weakly supervised action localization S Zhang, L Song, C Gao, N Sang IEEE Transactions on Multimedia 22 (10), 2610-2622, 2019 | 45 | 2019 |
| Dynamic grained encoder for vision transformers L Song, S Zhang, S Liu, Z Li, X He, H Sun, J Sun, N Zheng Advances in Neural Information Processing Systems 34, 5770-5783, 2021 | 36 | 2021 |
| Dbq-ssd: Dynamic ball query for efficient 3d object detection J Yang, L Song, S Liu, W Mao, Z Li, X Li, H Sun, J Sun, N Zheng arXiv preprint arXiv:2207.10909, 2022 | 29 | 2022 |
| Boxsnake: Polygonal instance segmentation with box supervision R Yang, L Song, Y Ge, X Li Proceedings of the IEEE/CVF International Conference on Computer Vision, 766-776, 2023 | 27 | 2023 |
| NIPM-sWMF: Toward efficient FPGA design for high-definition large-disparity stereo matching X Zhang, H Sun, S Chen, L Song, N Zheng IEEE Transactions on Circuits and Systems for Video Technology 29 (5), 1530-1543, 2018 | 25 | 2018 |
| Rethinking learnable tree filter for generic feature transform L Song, Y Li, Z Jiang, Z Li, X Zhang, H Sun, J Sun, N Zheng Advances in Neural Information Processing Systems, 2020 | 24 | 2020 |
| Human centric spatio-temporal action localization J Jiang, Y Cao, L Song, S Zhang, Y Li, Z Xu, Q Wu, C Gan, C Zhang, G Yu ActivityNet Workshop on CVPR 14, 2018 | 24 | 2018 |
| Meta-adapter: An online few-shot learner for vision-language model L Song, R Xue, H Wang, H Sun, Y Ge, Y Shan Advances in Neural Information Processing Systems 36, 55361-55374, 2023 | 18* | 2023 |
| Instructdet: Diversifying referring object detection with generalized instructions R Dang, J Feng, H Zhang, C Ge, L Song, L Gong, C Liu, Q Chen, F Zhu, ... arXiv preprint arXiv:2310.05136, 2023 | 12 | 2023 |
| Low-rank approximation for sparse attention in multi-modal llms L Song, Y Chen, S Yang, X Ding, Y Ge, YC Chen, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Workshop on autonomous driving at cvpr 2021: Technical report for streaming perception challenge S Zhang, L Song, S Liu, Z Ge, Z Li, X He, J Sun arXiv preprint arXiv:2108.04230, 2021 | 8 | 2021 |
Zeming LiHong Kong University of Science and Technology (HKUST)Потвърден имейл адрес: connect.ust.hk