Tong Zhang
Scholar

Tong Zhang

Google Scholar ID: kCy8JG8AAAAJ
EPFL
Representation Learning3D Vision
Citations & Impact
All-time
Citations
3,501
 
H-index
22
 
i10-index
31
 
Publications
20
 
Co-authors
24
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Honorable mention for Best Student Paper at ACCV 2016; Finalist for Paper Award at CVPR 2020; Multiple papers accepted by BMVC, ICCV (Oral), CVPR, and other international conferences.
Research Experience
  • Postdoctoral researcher working at EPFL with Prof. Sabine Süsstrunk and Dr. Mathieu Salzmann. After submitting his Ph.D. thesis, he worked on a semantic geo-localization project along with some Ph.D. students at ANU.
Education
  • Ph.D. from the Australian National University in 2020, supervised by Prof. Richard Hartley, Prof. Faith Porikli, Prof. Mehrtash Harandi, and Prof. Hongdong Li; Master's degree from New York University in 2014; Bachelor's degree from Beihang University in 2011.
Background
  • Research interests include machine learning and computer vision. Currently focused on unifying representations across different modalities to enable comprehensive interpretation of deep learning models, thereby facilitating broader applications in fields like time-series prediction and generation.
Miscellany
  • Serving as an IPC for Eurographics 2026, Area Chair for ICLR 2026, and Area Chair for NeurIPS 2025; Welcoming excellent students from the Summer@EPFL program; Contact: Tong dot Zhang at epfl dot ch