| 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 International Journal of Computer Vision 132 (2), 581-595, 2024 | 761 | 2024 |
| LLaMA-adapter: Efficient fine-tuning of large language models with zero-initialized attention R Zhang, J Han, C Liu, A Zhou, P Lu, Y Qiao, H Li, P Gao ICLR 2024, 2024 | 596* | 2024 |
| 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 | 580* | 2022 |
| Llama-adapter v2: Parameter-efficient visual instruction model P Gao, J Han, R Zhang, Z Lin, S Geng, A Zhou, W Zhang, P Lu, C He, ... arXiv preprint arXiv:2304.15010, 2023 | 429 | 2023 |
| 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 | 373 | 2022 |
| 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 | 228 | 2020 |
| 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 | 215 | 2022 |
| 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 | 188 | 2022 |
| Pointclip v2: Prompting clip and gpt for powerful 3d open-world learning X Zhu, R Zhang, B He, Z Guo, Z Zeng, Z Qin, S Zhang, P Gao ICCV 2023, 2023 | 160* | 2023 |
| Sphinx: The joint mixing of weights, tasks, and visual embeddings for multi-modal large language models Z Lin, C Liu, R Zhang, P Gao, L Qiu, H Xiao, H Qiu, C Lin, W Shao, ... ECCV 2024, 2023 | 139 | 2023 |
| Personalize segment anything model with one shot R Zhang, Z Jiang, Z Guo, S Yan, J Pan, H Dong, P Gao, H Li ICLR 2024, 2023 | 139 | 2023 |
| 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 | 139 | 2023 |
| 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 ICCV 2023, 2022 | 125 | 2022 |
| 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 | 116 | 2023 |
| 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 | 83 | 2022 |
| Imagebind-llm: Multi-modality instruction tuning J Han, R Zhang, W Shao, P Gao, P Xu, H Xiao, K Zhang, C Liu, S Wen, ... arXiv preprint arXiv:2309.03905, 2023 | 82 | 2023 |
| Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis R Zhang, L Wang, Y Wang, P Gao, H Li, J Shi CVPR 2023, 2023 | 79* | 2023 |
| Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation Y Gan, X Ma, Y Lou, Y Bai, R Zhang, N Shi, L Luo AAAI 2023 Best Student Paper, 2022 | 74 | 2022 |
| Point-bind & point-llm: Aligning point cloud with multi-modality for 3d understanding, generation, and instruction following Z Guo, R Zhang, X Zhu, Y Tang, X Ma, J Han, K Chen, P Gao, X Li, H Li, ... arXiv preprint arXiv:2309.00615, 2023 | 70 | 2023 |
| Dual-stream network for visual recognition M Mao, R Zhang, H Zheng, T Ma, Y Peng, E Ding, B Zhang, S Han Advances in Neural Information Processing Systems 34, 25346-25358, 2021 | 65 | 2021 |
Peng GaoShanghai AI Lab在 pjlab.org.cn 的电子邮件经过验证
