Zekun Hao

Email: hz472 (at) cornell [dot] edu

About

I have started a new journey as a research scientist at NVIDIA. New webpage

I received my PhD in Computer Science from Cornell University, where I was advised by Prof. Serge Belongie. My research interests include machine learning and its applications to computer vision and computer graphics. I am especially interested in controllable generative models for creating 3D shapes and photorealistic 3D scenes.

I am fortunate to be a recipient of the 2022-2023 NVIDIA Graduate Fellowship.

Selected Publications

Implicit Neural Representations with Levels-of-Experts
NeurIPS 2022
Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu.
[Paper] [Paper+supp] [Poster] [BibTex]
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
ICCV 2021 (Oral)
Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu.
[Paper] [Code] [Website] [Video] [BibTex]
Learning Gradient Fields for Shape Generation
ECCV 2020 (Spotlight)
Ruojin Cai*, Guandao Yang*, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan.
[Paper] [Code] [Website] [BibTex]
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
CVPR 2020
Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge Belongie.
[Paper] [Code] [Website] [CVPR Daily Coverage] [Demo1] [Demo2] [BibTex]
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
ICCV 2019 (Oral)
Guandao Yang*, Xun Huang*, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan.
[Paper] [Code] [Website] [Video] [BibTex]
Controllable Video Generation with Sparse Trajectories
CVPR 2018
Zekun Hao, Xun Huang, Serge Belongie.
[Paper] [Code] [BibTex]

Teaching

Internships

Last update: 05/16/2023