Yue Chen - Homepage

Yue Chen (陈悦)

I obtained my Master's degree from the Institute of Artificial Intelligence and Robotics at Xi'an Jiaotong University in 2022, supervised by Prof. Fei Wang and Prof.Yu Guo. I did my undergrad at Xiamen University.

During my master, I was a research intern in Visual Computing Center at Tencent AI lab, working with Jue Wang and Xuan Wang.

I am a Muggle dreaming of the Wizarding World. Fortunately, I can create magic in my adventure of exploring computer vision and graphics.

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Research

Equal Contribution * , Corresponding Author †, Project Lead ⚑

	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 A Local-to-Global robust registration strategy for bundle-adjusting Neural Radiance Fields, combining the global and local alignment via differentiable parameter estimation.
	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 A deformable, real-time rendering, and editable NeRF, decomposing a dynamic human into 3D UV Volumes and a 2D appearance texture.
	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 An unsupervised approach to disentangle a scene into place, appearance, and occlusion features, where the place feature significantly increases the recall of place recognition under occlusion and changing appearance.
	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 / code / supplementary / video / poster A framework to recover hallucinated neural radiance fields from tourism images with variable appearance and occlusions, consistently rendering free-occlusion views under different appearance hallucinations.

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Last updated: June 2024