| 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, 2021 | 1037 | 2021 |
| 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 | 830* | 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 | 781* | 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 | 547 | 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 | 483 | 2022 |
| LLaVA-OneVision: Easy Visual Task Transfer B Li, Y Zhang, D Guo, R Zhang, F Li, H Zhang, K Zhang, Y Li, Z Liu, C Li TMLR 2025, 2024 | 333 | 2024 |
| 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 | 266 | 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 | 252 | 2020 |
| 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 | 243 | 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 | 224 | 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 | 206 | 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 | 200 | 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 | 183 | 2023 |
| Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis C Fu, Y Dai, Y Luo, L Li, S Ren, R Zhang, Z Wang, C Zhou, Y Shen, ... arXiv preprint arXiv:2405.21075, 2024 | 177 | 2024 |
| 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 | 165 | 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 | 146 | 2023 |
| LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models F Li, R Zhang, H Zhang, Y Zhang, B Li, W Li, Z Ma, C Li ICLR 2025 Spotlight, 2024 | 134 | 2024 |
| Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? R Zhang, D Jiang, Y Zhang, H Lin, Z Guo, P Qiu, A Zhou, P Lu, KW Chang, ... ECCV 2024, 2024 | 130 | 2024 |
| 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 | 122 | 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 | 119 | 2023 |
Peng GaoShanghai AI Lab確認したメール アドレス: pjlab.org.cn