DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation. - Guanqi Zhan; Yihao Zhao; Bingchan Zhao; Haoqi Yuan; Baoquan Chen; Hao Dong 003 (CoRR, 2019)

Generative 3D Part Assembly via Dynamic Graph Learning. - Guanqi Zhan; Qingnan Fan; Kaichun Mo; Lin Shao 002; Baoquan Chen; Leonidas J. Guibas; Hao Dong 003 (NeurIPS, 2020)

Generative 3D Part Assembly via Dynamic Graph Learning. - Jialei Huang; Guanqi Zhan; Qingnan Fan; Kaichun Mo; Lin Shao 002; Baoquan Chen; Leonidas J. Guibas; Hao Dong 003 (CoRR, 2020)

A Tri-Layer Plugin to Improve Occluded Detection. - Guanqi Zhan; Weidi Xie; Andrew Zisserman (BMVC, 2022)

Score-PA: Score-based 3D Part Assembly. - Junfeng Cheng; Mingdong Wu; Ruiyuan Zhang; Guanqi Zhan; Chao Wu 001; Hao Dong 003 (BMVC, 2023)

Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions. - Ruihai Wu; Kai Cheng; Yan Zhao 035; Chuanruo Ning; Guanqi Zhan; Hao Dong 003 (NeurIPS, 2023)

What Does Stable Diffusion Know about the 3D Scene? - Guanqi Zhan; Chuanxia Zheng; Weidi Xie; Andrew Zisserman (CoRR, 2023)

InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment. - Yuxing Long; Wenzhe Cai; Hongcheng Wang; Guanqi Zhan; Hao Dong 003 (CoRL, 2024)

Amodal Ground Truth and Completion in the Wild. - Guanqi Zhan; Chuanxia Zheng; Weidi Xie; Andrew Zisserman (CVPR, 2024)

A General Protocol to Probe Large Vision Models for 3D Physical Understanding. - Guanqi Zhan; Chuanxia Zheng; Weidi Xie; Andrew Zisserman (NeurIPS, 2024)

Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters. - Yitong Li; Ruihai Wu; Haoran Lu; Chuanruo Ning; Yan Shen 035; Guanqi Zhan; Hao Dong 003 (Robotics: Science and Systems, 2024)

TARGO: Benchmarking Target-driven Object Grasping under Occlusions. - Yan Xia 003; Ran Ding; Ziyuan Qin 002; Guanqi Zhan; Kaichen Zhou; Long Yang; Hao Dong 003; Daniel Cremers (CoRR, 2024)

ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval. - Guanqi Zhan; Yuanpei Liu; Kai Han 001; Weidi Xie; Andrew Zisserman (CoRR, 2025)