Dongting Hu

Ph.D. Student

Melbourne Deep Learning Group
School of Mathematics and Statistics
The University of Melbourne

Address: 206 Old Geology Building South, Parkville, VIC, Australia
Email: dongting AT student.unimelb.edu.au

Biography

I am a Ph.D. student at the School of Mathematics and Statistics, the University of Melbourne (UoM). I received my B.E. degree in Mechanical Engineering from Donghua University in 2018 and M.S. degree in Data Science from University of Melbourne in 2021. My research mainly focuses on 3D computer vision and machine learning.

Education Background

Ph.D. student, 2021.09 - 2025.03 (expected)
The University of Melbourne, Australia, advised by Dr. Mingming Gong, Dr. Liuhua Peng and Dr. Tingjin Chu
M.S. Data science, 2020.03 - 2021.07
The University of Melbourne, Australia, advised by Dr. Mingming Gong
G.D. Data science, 2019.02 - 2020.01
The University of Melbourne, Australia
B.E. Mechanical Engineering, 2014.09 - 2018.07
Donghua University, Shanghai, China

Publications

Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
D. Hu, Z. Zhang, T. Hou, T. Liu, H. Fu^*, M. Gong^*
International Conference on Computer Vision (ICCV 2023).
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression
D. Hu, L. Peng, T. Chu, X. Zhang, Y. Mao, H. Bondell, M. Gong
European Conference on Computer Vision (ECCV 2022).

Honors and Awards

Melbourne Research Scholarship, 2021-2025.
Science Abroad Travelling Scholarship (SATS), 2023

Invited Talks

“Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression”, AI TIME, Dec 7, 2022 (online)

Academic Service

Conference Reviewer/Program Committee: AJCAI, BMVC, ECAI, ICPR etc.
Journal Reviewer: Neural Networks, Frontiers in Computer Science, etc.