Hao He

Hao He (何浩)

I am a 4th year Ph.D student majoring Artificial Intelligence at HKUST and HKUST(GZ), supervised by Prof. Ying-Cong Chen, he is awesome!

Previously, I obtained a bachelor of science degree (B.S) in Electrical Eningeering at UCLA, and a master of science degree (M.S) majoring Electrical Engineering with Computer Science at USC.

Email / Github / Google Scholar

Research

My current research interests mainly focus on the field of 3D vision, 3D understanding, reconstruction and generation.

Selected Publications

LucidFusion: Generating 3D Gaussians with Arbitrary Unposed Images
Hao He*, Yixun Liang*, Luozhou Wang, Yuanhao Cai, Xinli Xu, Hao-Xiang Guo, Xiang Wen, Ying-Cong Chen
Arxiv, 2024
Paper / Project Page / Code

	ReTR: Modeling Rendering via Transformer for Generalizable Neural Surface Reconstruction Yixun Liang, Hao He, Ying-Cong Chen NeurIPS, 2023 Paper / Project Page / Code
	CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis Hao He* , Yixun Liang, Shi-shi Xiao, Jierun Chen, Ying-Cong Chen Pacific Graphics*, 2023 Paper / Project Page / Code(coming)
	Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets Yixun Liang, Hao He, Shi-shi Xiao, Hao Lu, Ying-Cong Chen Pacific Graphics, 2024 Paper / Code
	Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks Jierun Chen, Shiu-hong Kao, Hao He, Weipeng Zhuo, Song Wen, Chul-Ho Lee, S.-H. Gary Chan CVPR, 2023 Paper / Code

thanks for the awesome template