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Renrui Zhang
Renrui Zhang
MMLab CUHK & Peking University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
7582024
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
592*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
577*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
4272023
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
3702022
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
2282020
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
2142022
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
1882022
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
158*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
1382023
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
1372023
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
1352023
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
1252022
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
1152023
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
822023
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
812022
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
78*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
742022
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
702023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
A Chen, K Zhang, R Zhang, Z Wang, Y Lu, Y Guo, S Zhang
CVPR 2023, 2023
642023
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