Guanqi Zhan

202020212022202320243 7 18 34 42

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Hao DongAssistant Professor at Peking UniversityVerified email at pku.edu.cn
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
Weidi XieShanghai Jiao Tong University | VGG, University of OxfordVerified email at robots.ox.ac.uk
Baoquan ChenPeking UniversityVerified email at pku.edu.cn
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Kaichun MoResearch Scientist at NVIDIA; Previously CS Ph.D. at StanfordVerified email at nvidia.com
Qingnan FanVIVOVerified email at vivo.com
Ruihai WuPeking UniversityVerified email at pku.edu.cn
Chuanxia ZhengVGG, University of OxfordVerified email at robots.ox.ac.uk
Yihao ZhaoPeking UniversityVerified email at pku.edu.cn
Lin ShaoNational University of SingaporeVerified email at nus.edu.sg

Guanqi Zhan

Verified email at robots.ox.ac.uk - Homepage


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Generative 3d part assembly via dynamic graph learning G Zhan, Q Fan, K Mo, L Shao, B Chen, LJ Guibas, H Dong Advances in Neural Information Processing Systems 33, 6315-6326, 2020	63	2020
A tri-layer plugin to improve occluded detection G Zhan, W Xie, A Zisserman British Machine Vision Conference, 2022	14	2022
Learning environment-aware affordance for 3d articulated object manipulation under occlusions R Wu, K Cheng, Y Zhao, C Ning, G Zhan, H Dong Advances in Neural Information Processing Systems 36, 2023	12*	2023
What Does Stable Diffusion Know about the 3D Scene? G Zhan, C Zheng, W Xie, A Zisserman arXiv preprint arXiv:2310.06836, 2023	9	2023
Score-pa: Score-based 3d part assembly J Cheng, M Wu, R Zhang, G Zhan, C Wu, H Dong British Machine Vision Conference, 2023	4	2023
Amodal Ground Truth and Completion in the Wild G Zhan, C Zheng, W Xie, A Zisserman Computer Vision and Pattern Recognition, 2024	1	2024
DLGAN: disentangling label-specific fine-grained features for image manipulation G Zhan, Y Zhao, B Zhao, H Yuan, B Chen, H Dong arXiv preprint arXiv:1911.09943, 2019	1	2019
Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters Y Li, R Wu, H Lu, C Ning, Y Shen, G Zhan, H Dong RSS 2024, 2024		2024

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