| Lisa: Reasoning segmentation via large language model X Lai, Z Tian, Y Chen, Y Li, Y Yuan, S Liu, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 441 | 2024 |
| Detnas: Backbone search for object detection Y Chen, T Yang, X Zhang, G Meng, X Xiao, J Sun Advances in Neural Information Processing Systems (NeurIPS), 2019 | 415* | 2019 |
| Longlora: Efficient fine-tuning of long-context large language models Y Chen, S Qian, H Tang, X Lai, Z Liu, S Han, J Jia International Conference on Learning Representations (ICLR), 2024 | 332 | 2024 |
| Grounded sam: Assembling open-world models for diverse visual tasks T Ren, S Liu, A Zeng, J Lin, K Li, H Cao, J Chen, X Huang, Y Chen, F Yan, ... arXiv preprint arXiv:2401.14159, 2024 | 310 | 2024 |
| Openpcdet: An open-source toolbox for 3d object detection from point clouds OD Team | 307 | 2020 |
| VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking Y Chen, J Liu, X Zhang, X Qi, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 303 | 2023 |
| Focal Sparse Convolutional Networks for 3D Object Detection Y Chen, Y Li, X Zhang, J Sun, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5428-5437, 2022 | 278 | 2022 |
| Learning dynamic routing for semantic segmentation Y Li, L Song, Y Chen, Z Li, X Zhang, X Wang, J Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8553-8562, 2020 | 213 | 2020 |
| Renas: Reinforced evolutionary neural architecture search Y Chen, G Meng, Q Zhang, S Xiang, C Huang, L Mu, X Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4787-4796, 2019 | 184* | 2019 |
| Spherical Transformer for LiDAR-based 3D Recognition X Lai, Y Chen, F Lu, J Liu, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 168 | 2023 |
| LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs Y Chen, J Liu, X Zhang, X Qi, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 153* | 2023 |
| 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 (T-PAMI), 2022 | 150* | 2022 |
| Voxel Field Fusion for 3D Object Detection Y Li, X Qi, Y Chen, L Wang, Z Li, J Sun, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1120-1129, 2022 | 109 | 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 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 14443-14453, 2021 | 78 | 2021 |
| FocalFormer3D: Focusing on Hard Instance for 3D Object Detection Y Chen, Z Yu, Y Chen, S Lan, A Anandkumar, J Jia, J Alvarez IEEE International Conference on Computer Vision (ICCV), 2023 | 71 | 2023 |
| 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 | 62 | 2022 |
| Step-dpo: Step-wise preference optimization for long-chain reasoning of llms X Lai, Z Tian, Y Chen, S Yang, X Peng, J Jia arXiv preprint arXiv:2406.18629, 2024 | 57 | 2024 |
| Scale-aware automatic augmentation for object detection Y Chen, Y Li, T Kong, L Qi, R Chu, L Li, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9563-9572, 2021 | 55 | 2021 |
| Longvila: Scaling long-context visual language models for long videos Y Chen, F Xue, D Li, Q Hu, L Zhu, X Li, Y Fang, H Tang, S Yang, Z Liu, ... International Conference on Learning Representations (ICLR), 2025 | 45 | 2025 |
| Spatial Pruned Sparse Convolution for Efficient 3D Object Detection J Liu*, Y Chen*, X Ye, Z Tian, X Tan, X Qi Advances in Neural Information Processing Systems (NeurIPS), 2022 | 42 | 2022 |
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHK在 cse.ust.hk 的电子邮件经过验证
