| Attention-guided unified network for panoptic segmentation Y Li, X Chen, Z Zhu, L Xie, G Huang, D Du, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 321 | 2019 |
| Unifying Voxel-based Representation with Transformer for 3D Object Detection Y Li, Y Chen, X Qi, Z Li, J Sun, J Jia Advances in Neural Information Processing Systems, 2022 | 186 | 2022 |
| Focal Sparse Convolutional Networks for 3D Object Detection Y Chen, Y Li, X Zhang, J Sun, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 184 | 2022 |
| 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 | 180 | 2020 |
| Fully Convolutional Networks for Panoptic Segmentation Y Li, H Zhao, X Qi, L Wang, Z Li, J Sun, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 168 | 2021 |
| LISA: Reasoning Segmentation via Large Language Model X Lai, Z Tian, Y Chen, Y Li, Y Yuan, S Liu, J Jia arXiv preprint arXiv:2308.00692, 2023 | 151 | 2023 |
| 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, 2024 | 89 | 2024 |
| Stitcher: Feedback-driven data provider for object detection Y Chen, P Zhang, Z Li, Y Li, X Zhang, G Meng, S Xiang, J Sun, J Jia arXiv preprint arXiv:2004.12432 2 (7), 12, 2020 | 77 | 2020 |
| Voxel Field Fusion for 3D Object Detection Y Li, X Qi, Y Chen, L Wang, Z Li, J Sun, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 72 | 2022 |
| Multi-Scale Aligned Distillation for Low-Resolution Detection L Qi, J Kuen, J Gu, Z Lin, Y Wang, Y Chen, Y Li, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 66 | 2021 |
| Fully convolutional networks for panoptic segmentation with point-based supervision Y Li, H Zhao, X Qi, Y Chen, L Qi, L Wang, Z Li, J Sun, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4552-4568, 2022 | 50 | 2022 |
| 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 | 47 | 2019 |
| Scale-aware Automatic Augmentation for Object Detection Y Chen, Y Li, T Kong, L Qi, R Chu, L Li, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 46 | 2021 |
| LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models Y Li, C Wang, J Jia arXiv preprint arXiv:2311.17043, 2023 | 41 | 2023 |
| 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, 2020 | 40 | 2020 |
| State-aware re-identification feature for multi-target multi-camera tracking P Li, J Zhang, Z Zhu, Y Li, L Jiang, G Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 40 | 2019 |
| Fastpose: Towards real-time pose estimation and tracking via scale-normalized multi-task networks J Zhang, Z Zhu, W Zou, P Li, Y Li, H Su, G Huang arXiv preprint arXiv:1908.05593, 2019 | 31 | 2019 |
| Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models Y Li, Y Zhang, C Wang, Z Zhong, Y Chen, R Chu, S Liu, J Jia arXiv preprint arXiv:2403.18814, 2024 | 29 | 2024 |
| 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 33, 2020 | 19 | 2020 |
| Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training Y Chen, P Zhang, T Kong, Y Li, X Zhang, L Qi, J Sun, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2367-2383, 2022 | 15 | 2022 |
Jiaya JiaProfessor, CUHK在 cse.cuhk.edu.hk 的电子邮件经过验证
