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Renrui Zhang
Renrui Zhang
MMLab CUHK & Peking University
Подтвержден адрес электронной почты в домене pku.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
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
9942021
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
804*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
745*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
5412023
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
4702022
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
2662022
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
2592024
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
2512020
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
2382022
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
2242023
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
214*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
1992023
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
1782023
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
1542022
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
1462024
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
1442023
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
1152022
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
1132024
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
1102024
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
1072023
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