Jiteng Mu

I am a Ph.D. student in Electrical and Computer Engineering at UC, San Diego starting from Fall 2020, advised by Xiaolong Wang and Nuno Vasconcelos.

Prior to join UCSD, I received my M.S.E degree in Robotics from Johns Hopkins University advised by Bloomberg Distinguished Professor Alan Yuille, and B.E. degree in Mechanical Engineering from Shandong University. I have also spent time as a research intern at Nvidia and Adobe.

Email  /  Google Scholar  /  Github

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Recent News
  • [2023.06] Starting internship at Adobe in San Francisco.
  • [2022.03] CoordGAN accepted to CVPR 2022.
  • [2021.07] A-SDF accepted to ICCV 2021.
  • [2021.06] Starting internship at Nvidia.

Publications
    My research primarily focuses on learning disentangled representations for creative content creation for both 2D images and 3D world. I am also broadly interested in the intersection of computer vision, machine learning, robotics.
    * indicates equal contributions.

Editable Image Elements for Controllable Synthesis
Jiteng Mu, Michaƫl Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park
Arxiv, 2024

ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs
Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang
ICCV, 2023

CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu
CVPR, 2022

Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan Yuille
CVPR, 2022, oral

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, Xiaolong Wang
ICCV, 2021

Learning from Synthetic Animals
Jiteng Mu*, Weichao Qiu*, Gregory Hager, Alan Yuille
CVPR, 2020, oral


Stolen from Jon Barron