Research
I am passionate about 3D Vision and Computer Graphics.
My current interest lies in exploring neural scene representations to effectively capture the visual, geometric, and physical properties of our surrounding,
enabling accurate reconstruction and flexible interaction in virtual worlds, particularly for dynamic and interactable scenes.
My goal is to develop highly realistic virtual spaces that enhance VR/AR immersive experiences, and improve training for embodied agents that can seamlessly generalize to the real world.
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4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
Yuanxing Duan*, Fangyin Wei*, Qiyu Dai, Yuhang He, Wenzheng Chen†, Baoquan Chen†
ACM SIGGRAPH Conference Papers 2024
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Open6DOR: Benchmarking Open-instruction 6-DoF Object Rearrangement and A VLM-based Approach
Yufei Ding*, Haoran Geng*, Chaoyi Xu, Xiaomeng Fang, Jiazhao Zhang, Songlin Wei, Qiyu Dai, Zhizheng Zhang, He Wang†
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024, Oral Presentation
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STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines
Yuxuan Kuang*, Qin Han*, Danshi Li, Qiyu Dai, Lian Ding, Dong Sun, Hanlin Zhao, He Wang†
IEEE International Conference on Robotics and Automation (ICRA) 2024
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GraspNeRF: Multiview-based 6-DoF Grasp Detection for Transparent and Specular Objects Using Generalizable NeRF
Qiyu Dai*, Yan Zhu*, Yiran Geng, Ciyu Ruan, Jiazhao Zhang, He Wang†
IEEE International Conference on Robotics and Automation (ICRA) 2023
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Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects
Qiyu Dai*, Jiyao Zhang*, Qiwei Li, Tianhao Wu, Hao Dong, Ziyuan Liu, Ping Tan, He Wang†
European Conference on Computer Vision (ECCV) 2022
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Edit Like A Designer: Modeling Design Workflows for Unaligned Fashion Editing
Qiyu Dai, Shuai Yang, Wenjing Wang, Wei Xiang, Jiaying Liu†
ACM International Conference on Multimedia (ACM MM) 2021
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Robust Lane Detection From Continuous Driving Scenes Using Deep Neural Networks
Qin Zou, Hanwen Jiang, Qiyu Dai, Yuanhao Yue, Long Chen, Qian Wang†
IEEE Transactions on Vehicular Technology 2019
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Peking University, China
2023.07 - 2024.08
Research Assistant, School of Intelligent Science and Technology
2024.09 -
Ph.D in Intelligence Science and Technology, School of Intelligent Science and Technology
Advisor: Prof. Baoquan Chen
Research: 3D/4D Reconstruction, Neural Scene Representation, Neural Rendering
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Beijing Academy of Artificial Intelligence, China
2022.11 - 2023.06
Research Intern
Advisor: Prof. He Wang
Research: NeRF for Robotics
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Peking University, China
2019.09 - 2022.06
M.Eng. in Computer Technology, School of Software and Microelectronics
Advisor: Prof. He Wang, Prof. Qi Jing
Research: Sensor Simulation, Depth Restoration, Grasping, NeRF
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Wuhan University, China
2015.09 - 2019.06
Bachelor in Energy Chemical Engineering, School of Power and Mechanical Engineering
Double Bachelor in Computer Science, School of Computer Science
Advisor: Prof. Qin Zou
Research: Road Lane Detection
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Services
Reviewer: CVPR, ECCV, ICCV, AAAI, ICRA, IROS, IEEE R-AL
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Invited Talks
2022.08: Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects, at ECCV 2022 China Pre-Conference, hosted by China Society of Image and Graphics.
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Awards and Honors
Outstanding Master's Thesis, Peking University, 2022
Social Work Award, Peking University, 2021
Merit Student Award, Peking University, 2020
Excellent Graduate, Wuhan University, 2019
The Beijing CM Scholarship, Wuhan University, 2018
The Goaland Scholarship, Wuhan University, 2017
Merit Student Award, Wuhan University, 2017
The Cnhili Scholarship, Wuhan University, 2016
The Relations Instruments Scholarship, Wuhan University, 2016
Excellent Student Award, Wuhan University, 2016, 2018
Excellent Student Scholarship, Wuhan University, 2016, 2017, 2018
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Template stolen from Jon Barron.
Last updated: September 22, 2024
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