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Qi Ye

Assistant Professor
Zhejiang University

Email: qi.ye dot zju.edu.cn

About me

Dr. Qi Ye is a Tenure-Track Professor at Zhejiang University. She was a research scientist in the Mixed Reality & AI Lab at Cambridge, Microsoft. She obtained her Ph.D. degree from Imperial College, a Master's degree from Tsinghua University, and a Bachelor's degree from Beijing Normal University. Her research interest lies in the intersection of computer vision, computer graphics, and robotics, particularly in 3D vision and emboided AI. My current research direction includs 3D reconstruction of scenes and hand-object under interaction, active vision, multiview multimodal perception, dexterous robotic manipulation etc. These works have been published in top-tier conferences and journals in computer vision and robotics TPAMI, ECCV, CVPR, ICCV, RAL, ICRA, IROS, etc.

Meanwhile, I am looking for Master students, PhD students, Postdoc and Research Intern, aiming at innovation in computer graphics, computer vision, and robotics.

Please find more recent publications on Google Scholar and videos on Bilibili

News

2025.06 I will give a talk at SIGGRAPH Asia 2025 Workshop on TriFusion: Towards Embodied Intelligence Across Humans, Avatars, and Humanoid Robotics

2025.06 I will give a talk at IROS 2025 Workshop on Dexterous Robotic Hand with Embodied Manipulation Learning.

2025.05 Our HANDS workshop on Observing and Understanding Hands in Action has been accepted by ICCV2025. We will organize a challenge on dexterous grasp motion synthesis.

2025.05 We release a visuo-tactile dataset and dexterous manipulation platform VTDexManip.

2025.04 We release GraspM3: Dexterous Grasp Motion Generation at Million Scale with Semantic Labelling.

2025.04 We release the code DexRepnet, which is trained on 40 objects and can generalize to 5k unseen objects with a success rate of 90%.

2025.01 We have more than 10 papers accepted in top-tier conference and journals in 2024, including IJCV, CVPR, ICLR, IJCAI, ICRA, IROS, etc.

Selected Publications
* represents corresponding author


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