Xingyu Chen - Homepage

Xingyu Chen (陈星宇)

I am passionate about bridging the physical and information worlds, and advancing next-generation AR/robotics with 3D spatial intelligence. I obtained my M.S. and B.S. from the Institute of Artificial Intelligence and Robotics at Xi’an Jiaotong University and Chongqing University.

In 2021 and 2022, I was a research intern at Tencent AI lab, working with Xuan Wang and Qi Zhang, hosted by Jue Wang.

My research topics include computer vision, graphics, and neural fields, specifically in inferring the physical world (shape, appearance, motion, etc.) and camera poses from images.

Email | Google Scholar | GitHub

News

02/2023 2 papers (L2G-NeRF, UV Volumes) accepted to CVPR 2023!
01/2023 1 paper (PROCA) accepted to ICRA 2023!
09/2022 1 paper (Learning 2D-3D Point-Line Correspondences) accepted to RA-L 2022!
03/2022 1 paper (Ha-NeRF) accepted to CVPR 2022!
04/2020 1 paper (RDS-SLAM) accepted to IV 2020!
01/2020 1 paper (NCM) accepted to ICRA 2020!

Research

Equal Contribution * , Corresponding Author †

	L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields Yue Chen, Xingyu Chen, Xuan Wang†, Qi Zhang, Yu Guo†, Ying Shan, Fei Wang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 project page / arXiv / paper / code / supplementary / video / poster We combine local and global alignment via differentiable parameter estimation solvers to achieve robust bundle-adjusting Neural Radiance Fields.
	UV Volumes for Real-time Rendering of Editable Free-view Human Performance Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo†, Jue Wang, Fei Wang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 project page / arXiv / paper / code / supplementary / video / poster We separate high-frequency human appearance from 3D volume and encode them into a 2D texture, which enables real-time rendering and retexturing.
	PROCA: Place Recognition under Occlusion and Changing Appearance via Disentangled Representations Yue Chen, Xingyu Chen†, Yicen Li IEEE International Conference on Robotics and Automation (ICRA), 2023 arXiv / code / video / poster We decompose the image representation into place, appearance, and occlusion code and use the place code as a descriptor to retrieve images.
	Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line Correspondences Xingyu Chen, Jianru Xue†, Shanmin Pang IEEE Robotics and Automation Letters (RA-L), 2022 arXiv / paper Given a sparse semantic map (e.g., pole lines, traffic sign midpoints), we estimate camera poses by learning 2D-3D point-line correspondences.
	Ha-NeRF😆: Hallucinated Neural Radiance Fields in the Wild Xingyu Chen, Qi Zhang†, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, Jue Wang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 project page / arXiv / paper / supplementary / code / video / poster We recover NeRF from tourism images with variable appearance and occlusions, consistently rendering free-occlusion views with hallucinated appearances.
	Using Detection, Tracking and Prediction in Visual SLAM to Achieve Real-time Semantic Mapping of Dynamic Scenarios Xingyu Chen, Jianru Xue†, Jianwu Fang, Yuxin Pan, Nanning Zheng IEEE Intelligent Vehicles Symposium (IV), 2020 arXiv / paper Instead of detecting objects in all frames, we detect only keyframes and embed an efficient prediction mechanism in all incoming frames.
	Navigation Command Matching for Vision-based Autonomous Driving Yuxin Pan, Jianru Xue†, Pengfei Zhang, Wanli Ouyang, Jianwu Fang, Xingyu Chen IEEE International Conference on Robotics and Automation (ICRA), 2020 ResearchGate / paper We propose a navigation command matching model to discriminate actions generated from sub-optimal policies via smooth rewards.

Projects
	Kuafu (Autonomous Vehicle) IEEE Intelligent Transportation Systems Institute Lead Award Second Place for Navigating in GPS-denied Environments, Intelligent Vehicle Future Challenge, 2019 Lidar Odometry, Mapping, and Localization.
	Robotic Hand Xingyu Chen, Zhili Liu, Yi Liu, Yang Li, Chenyang Liu National Second Prize, The 11th Chinese College Students Computer Design Contest, 2018 Sensor fusion of IMU and BLE for localization. Hand gesture recognition based on computer vision. Robot hand controller based on potentiometer.
	Robotic Arm Xingyu Chen, Zhili Liu, Yang Li National Second Prize, The 11th iCAN International Contest of innovAtioN, 2017 Hand gesture recognition based on computer vision. Structure design based on four-bar linkage.