Renrui Zhang
Renrui Zhang
MMLab CUHK & Peking University
Verified email at - Homepage
Cited by
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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
IJCV 2023, 2021
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
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
ICLR 2024, 2023
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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