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Peng Gao
Peng Gao
Shanghai AI Lab
Bestätigte E-Mail-Adresse bei pjlab.org.cn - Startseite
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Zitiert von
Zitiert von
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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
International Journal of Computer Vision, 2021
5292021
Uniformer: Unified transformer for efficient spatiotemporal representation learning
K Li, Y Wang, P Gao, G Song, Y Liu, H Li, Y Qiao
arXiv preprint arXiv:2201.04676, 2022
432*2022
Tip-adapter: Training-free clip-adapter for better vision-language modeling
R Zhang, R Fang, W Zhang, P Gao, K Li, J Dai, Y Qiao, H Li
arXiv preprint arXiv:2111.03930, 2021
416*2021
Dynamic fusion with intra-and inter-modality attention flow for visual question answering
P Gao, Z Jiang, H You, P Lu, SCH Hoi, X Wang, H Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
404*2019
Llama-adapter: Efficient fine-tuning of language models with zero-init attention
R Zhang, J Han, C Liu, P Gao, A Zhou, X Hu, S Yan, P Lu, H Li, Y Qiao
arXiv preprint arXiv:2303.16199, 2023
3822023
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
2982023
Pointclip: Point cloud understanding by clip
R Zhang, Z Guo, W Zhang, K Li, X Miao, B Cui, Y Qiao, P Gao, H Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
2792022
Fast convergence of detr with spatially modulated co-attention
P Gao, M Zheng, X Wang, J Dai, H Li
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
2742021
End-to-end object detection with adaptive clustering transformer
M Zheng, P Gao, R Zhang, K Li, X Wang, H Li, H Dong
arXiv preprint arXiv:2011.09315, 2020
2002020
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
Advances in neural information processing systems 35, 27061-27074, 2022
1572022
Convmae: Masked convolution meets masked autoencoders
P Gao, T Ma, H Li, Z Lin, J Dai, Y Qiao
arXiv preprint arXiv:2205.03892, 2022
137*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
European Conference on Computer Vision, 388-404, 2022
1312022
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
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
1072023
MonoDETR: Depth-guided transformer for monocular 3D object detection
R Zhang, H Qiu, T Wang, Z Guo, Z Cui, Y Qiao, H Li, P Gao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
952023
Multi-modality latent interaction network for visual question answering
P Gao, H You, Z Zhang, X Wang, H Li
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
94*2019
Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners
R Zhang, X Hu, B Li, S Huang, H Deng, Y Qiao, P Gao, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
932023
Question-guided hybrid convolution for visual question answering
P Gao, H Li, S Li, P Lu, Y Li, SCH Hoi, X Wang
Proceedings of the European Conference on Computer Vision (ECCV), 469-485, 2018
862018
Personalize segment anything model with one shot
R Zhang, Z Jiang, Z Guo, S Yan, J Pan, X Ma, H Dong, P Gao, H Li
arXiv preprint arXiv:2305.03048, 2023
822023
Lvlm-ehub: A comprehensive evaluation benchmark for large vision-language models
P Xu, W Shao, K Zhang, P Gao, S Liu, M Lei, F Meng, S Huang, Y Qiao, ...
arXiv preprint arXiv:2306.09265, 2023
812023
Learning 3d representations from 2d pre-trained models via image-to-point masked autoencoders
R Zhang, L Wang, Y Qiao, P Gao, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
792023
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