He Zhang received his PhD from the department of Electrical and Computer Engineering at Rutgers, the State University of New Jersey under the supervision of Prof. Vishal M. Patel. His research focuses on Deep Learning, Sparse and Low-rank Representation, and Image Processing. Prior joining Rutgers, he received his Bachelor degree in Electronic Engineering and its Automation from Jiangnan University, China, where he was working with Prof. Le Yang.
Currently, He Zhang is a research scientist in Adobe.
05/19: Two paper (1st author) accepted in IEEE TCSVT.
03/19: One paper is accepted in IEEE TMI.
01/19: One paper (1st author) is accepted in IJCV. We describe a synthesize method to solve the cross-domain face verification problem. Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks
06/18: Two papers are accepted in BTAS'18. Unconstrained Face Detection Datasets (UFDD) has been released. Check the UFDD website.
04/18: Our team ranks the 1st place on ICME-2018 Heterogeneous Face Recognition: Polarimetric Thermal-to-Visible Matching.
03/18: I was invited to give a talk at State Key Lab of Rail Traffic Control
03/18: I am selected in the CVPR 2018 Doctor Consortium
02/18: Two papers are accepted in CVPR' 18 (both are with first author)
12/17: One paper "Convolutional Sparse and Low-Rank Coding-Based Image Decomposition" is accepted to IEEE-TIP (pdf).
- Research Intern (Adobe Research, San Jose, CA) 05.2018-11.2018
- Research Intern (Siemens Healthneer, Princeton, NJ) 01.2017-09.2017
Selected Academic Services:
- Journal Reviewer: TPAMI, IJCV, TIP, TMM, PR, SPL, SP and Information Fusion.
- Conference Reviewer: CVPR'19, ACCV'18, BMVC'18, WACV'19, ICCV'19, BMVC'19