Jiahui Lei 雷嘉晖

I'm a CS Ph.D Student (2020-present) at University of Pennsylvania. My advisor is Prof. Kostas Daniilidis. I'm currently studying the representations and algorithms for 4D (3D+Time) and 3D geometric data.

I received my bachelor's degree (2016-2020) in Automation with ranking 1st/141 and with honors from Chu Kochen Honors College, Zhejiang University. Before that, I graduated from Dalian No.24 High School doing Physics Olympiad. Before that, I was born in 1998.

Email: leijh [AT] cis [dot] upenn [dot] edu / Google Scholar / Github

Research

	GART: Gaussian Articulated Template Models Jiahui Lei, Yufu Wang, Georgios Pavlakos, Lingjie Liu, Kostas Daniilidis CVPR, 2024 project page / arXiv / video (YouTube) / video (Bilibili) / code
	Track Everything Everywhere Fast and Robustly Yunzhou Song, Jiahui Lei, Ziyun Wang, Lingjie Liu, Kostas Daniilidis (* equal contribution) Arxiv, 2024 project page / arXiv / video (YouTube)
	DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting Agelos Kratimenos, Jiahui Lei, Kostas Daniilidis Arxiv, 2023 project page / arXiv
	NAP: Neural 3D Articulation Prior Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas Guibas, Kostas Daniilidis NeurIPS, 2023 project page / arXiv / video (YouTube) / code
	Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Congyue Deng, Jiahui Lei, Bokui Shen, Kostas Daniilidis, Leonidas Guibas (* equal contribution) NeurIPS, 2023 project page / arXiv / video (YouTube)
	EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas Guibas, Kostas Daniilidis CVPR, 2023 project page / dataset / arXiv / video (YouTube) / video (Bilibili) / code
	CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism Jiahui Lei, Kostas Daniilidis CVPR, 2022 project page / arXiv / video (YouTube) / video (Bilibili) / code
	SE(3) Equivariant Convolution and Transformer in Ray Space Yinshuang Xu, Jiahui Lei, Kostas Daniilidis NeurIPS, 2023 paper / code
	Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu, Jiahui Lei, Edgar Dobriban, Kostas Daniilidis (* equal contribution) ICML, 2022 paper
	Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas Guibas ECCV, 2020 project page / arXiv / video / code / poster / bibtex