| CLIP-Adapter: Better Vision-language Models with Feature Adapters P Gao*, S Geng*, R Zhang*, T Ma, R Fang, Y Zhang, H Li, Y Qiao arXiv preprint arXiv:2110.04544, 2021 | 161 | 2021 |
| End-to-end Object Detection with Adaptive Clustering Transformer M Zheng, P Gao, R Zhang, X Wang, H Li, H Dong BMVC 2021 Oral, 2020 | 132 | 2020 |
| Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification R Zhang, W Zhang, R Fang, P Gao, K Li, J Dai, Y Qiao, H Li ECCV 2022, 2022 | 128* | 2022 |
| PointCLIP: Point Cloud Understanding by CLIP R Zhang, Z Guo, W Zhang, K Li, X Miao, B Cui, Y Qiao, P Gao, H Li CVPR 2022, 2022 | 98 | 2022 |
| Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training R Zhang, Z Guo, P Gao, R Fang, B Zhao, D Wang, Y Qiao, H Li NeurIPS 2022, 2022 | 43 | 2022 |
| MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection R Zhang, H Qiu, T Wang, X Xu, Z Guo, Y Qiao, P Gao, H Li arXiv preprint arXiv:2203.13310, 2022 | 39 | 2022 |
| Dual-stream Network for Visual Recognition M Mao*, R Zhang*, H Zheng*, P Gao, T Ma, Y Peng, E Ding, S Han NeurIPS 2021, 2021 | 39 | 2021 |
| Frozen CLIP Models are Efficient Video Learners Z Lin, S Geng, R Zhang, P Gao, G de Melo, X Wang, J Dai, Y Qiao, H Li ECCV 2022, 2022 | 33 | 2022 |
| An investigation on the friction and wear properties of perfluorooctane sulfonate ionic liquids M Fan, C Zhang, Y Guo, R Zhang, L Lin, D Yang, F Zhou, W Liu Tribology Letters 63, 1-11, 2016 | 25 | 2016 |
| LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention R Zhang, J Han, A Zhou, X Hu, S Yan, P Lu, H Li, P Gao, Y Qiao arXiv preprint arXiv:2303.16199, 2023 | 20 | 2023 |
| Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders R Zhang, L Wang, Y Qiao, P Gao, H Li CVPR 2023, 2023 | 20 | 2023 |
| PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning X Zhu, R Zhang, B He, Z Zeng, S Zhang, P Gao arXiv preprint arXiv:2211.11682, 2022 | 18 | 2022 |
| CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention Z Guo*, R Zhang*, L Qiu*, X Ma, X Miao, X He, B Cui AAAI 2023 Oral, 2022 | 15 | 2022 |
| Distillation with contrast is all you need for self-supervised point cloud representation learning K Fu, P Gao, R Zhang, H Li, Y Qiao, M Wang arXiv preprint arXiv:2202.04241, 2022 | 14 | 2022 |
| Can Language Understand Depth? R Zhang, Z Zeng, Z Guo ACM MM 2022, 2022 | 13 | 2022 |
| Pos-bert: Point cloud one-stage bert pre-training K Fu, P Gao, SL Liu, R Zhang, Y Qiao, M Wang arXiv preprint arXiv:2204.00989, 2022 | 13 | 2022 |
| Vt-clip: Enhancing vision-language models with visual-guided texts L Qiu, R Zhang, Z Guo, Z Zeng, Y Li, G Zhang arXiv preprint arXiv:2112.02399, 2021 | 13 | 2021 |
| Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners R Zhang, X Hu, B Li, S Huang, H Deng, H Li, Y Qiao, P Gao CVPR 2023, 2023 | 12 | 2023 |
| TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning P Huang, L Liu, R Zhang, S Zhang, X Xu, B Wang, G Liu arXiv preprint arXiv:2212.13979, 2023 | 10 | 2023 |
| DSPoint: Dual-scale point cloud recognition with high-frequency fusion R Zhang, Z Zeng, Z Guo, X Gao, K Fu, J Shi arXiv preprint arXiv:2111.10332, 2021 | 10 | 2021 |
Peng GaoShanghai AI Lab在 pjlab.org.cn 的电子邮件经过验证
