Tong Zhang, Ph.D.
About me
I am a postdoctoral researcher working in machine learning and computer vision at EPFL with Prof. Sabine Süsstrunk and Dr. Mathieu Salzmann. I obtained my Ph.D. degree from the Australian National University (ANU) in 2020 under the supervision of Prof. Richard Hartley, Prof. Faith Porikli, Prof. Mehrtash Harandi, and Prof. Hongdong Li. After submitting my thesis, I worked on a semantic geo-localization project along with some Ph.D. students at ANU. During my Ph.D. study, I received the Best Student Paper honorable mention at ACCV 2016 and the Paper Award Finalist at CVPR 2020.
Prior to that, I received a master's degree from New York University in 2014 and a bachelor's degree from Beihang University in 2011.
Currently, my focus lies in 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.
IVRL is always taking highly motivated Ph.D. students, who receive fellowships from the computer science (IC) department. We also have limited positions for self-funded visiting students.
Every summer, we take some excellent students from the Summer@EPFL program.
Contact:
Tong dot Zhang at epfl dot ch
News:
We have 3 papers accepted by CVPR 2024. Congrats to Chen, Dongqing, and Yanhao.
The official code of "Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning" ICLR 24 will be released soon.
The official code of "3D-Aware hypothesis & verification for generalizable relative object pose estimation" ICLR 24 can be found here.
We have 2 papers accepted by ICLR 2024. Congrats to Congpei and Chen.
We just open-sourced our paper STSSL (Point clouds SSL), https://github.com/YanhaoWu/STSSL, check it out!
Our transparent object reconstruction NEMTO is accepted to ICCV 2023. Congrats to Dongqing on her first paper!
Our VolRecon code can be found here, https://github.com/IVRL/VolRecon/.
We just released the code of our CVPR 2023 paper DyNCA, https://github.com/IVRL/DyNCA, which generates texture video in real-time.
We have 4 papers accepted by CVPR 2023, congrats to Yufan, Ehsan, Yanhao, and Bahar on their first CVPR paper.
Our paper "Modeling Object Dissimilarity for Deep Saliency" was accepted by TMLR, congrats to Bahar and Deblina
One paper was accepted by ECCV 2022, congrats Di! Multi-view Stereo with NeRF.
Two papers on representation learning (self-supervised and multi-tasks) were accepted by CVPR 2022
One paper was accepted by ICASSP 2022
Our active learning salient object detection was accepted by Pattern Recognition
Two papers, one oral and one poster, are accepted by CVPR 2021
Our paper "Learning Saliency from Single Noisy Labelling: A Robust Model Fitting Perspective" is accepted by TPAMI.
I was awarded the 2019 Chinese Government Award for Outstanding Self-financed Students Abroad.
Our paper " UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders" has been nominated for the best paper award in CVPR 2020.
I will be joining EPFL on October 1st.
Students:
I am fortunate to work with these talented students:
Yufan Ren, Ph.D. candidate at EPFL 2022.03 ~ now
Dongqing Wang, Ph.D. candidate at EPFL 2022.03 ~ now
Ehsan Pajouheshgar, Ph.D. candidate at EPFL 2021.01 ~ now
Baran Ozaydin, Ph.D. candidate at EPFL 2021.01 ~ now
Bahar Aydemir, Ph.D. candidate at EPFL 2021.01 ~ now
Deblina Bhattacharjee Ph.D. candidate at EPFL 2021.01 ~ 2022 (Just passed her defense! Congrats Dr. Bhattacharjee)
Congpei Qiu, Master student at XJTU 2021.06 ~ now
Yanhao Wu, Master student at XJTU 2022.05 ~ now (Ph.D. candidate since 2023.02)
Awards
2020 CVPR Paper Award Nominee
2019 Chinese Government Award for Outstanding Self-financed Students Abroad
2019 ICML Traveling Awards
2017 NeurIPS Traveling Awards
2017 CSIRO DATA61 Top-up scholarship
2016 ACCV Best Student Paper Honorable Mention
2015 ANU Postgraduate research scholarship and HDR fee Remission Merit Scholarship
2012-14 Graduate Center Merit-Based Scholarship of NYU
2010 Outstanding student of Beihang University
Professional Activity
I've been a committee member (reviewer) for various top-tier journals (TPAMI, TIP, IEEE Signal Processing Magazine), and and conferences (CVPR, NeurIPS, ICML, ICLR, ECCV, ICCV, AAAI, ACCV, and WACV).