Xinting Hu

xhu@mpi-inf.mpg.de

About Me

I am currently a PostDoc researcher at the Max Planck Institute for Informatics, Germany and I work with Prof.Bernt Schiele. My current research focuses on image recognition and generation.
In Feb. 2023, I defended my Ph.D. thesis from MReal Lab at Nanyang Technological University, advised by Prof. Hanwang Zhang and Prof. Chunyan Miao. I have also had a wonderful time as an intern at Alibaba Research. During my Ph.D., my research area mainly focuses on scenarios where data is imbalanced, continual, or not exclusively annotated.
Before joining NTU, I received my B.E. in Information Science and Engineering from University of Science and Technology of China.
I am currently on the job market, looking for academic and industry positions related to Computer Vision and Machine Learning. Please feel free to contact me if you are interested. I am also happy to give talks on my research in related seminars.
My CV is here.

Publications

Training Vision Transformers for Semi-Supervised Semantic Segmentation
Xinting Hu, Li Jiang, Bernt Schiele
2024 Conference on Computer Vision and Pattern Recognition  CVPR 2024
Area: Image Segmentation, Semi-Supervised Learning


On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang
The Tenth International Conference on Learning Representations, ICLR 2022
Area: Image Classification, Semi-Supervised learning, Missing Data


Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang
2021 Conference on Computer Vision and Pattern Recognition, CVPR 2021
Area: Image Classification, Class-Incremental Learning, Causal Reasoning


Learning to Segment the Tail
Xinting Hu, Yi Jiang, Kaihua Tang, Hanwang Zhang, Chunyan Miao, Jingyuan Chen
2020 Conference on Computer Vision and Pattern Recognition, CVPR 2020
Area: Image Segmentation, Long-Tail Recognition

Education



Nanyang Technological University, Singapore
Ph.D Candidate of Computer Science and Engineering (2018.7 - Now)
Mentored by Asst Prof.Zhang Hanwang and Prof.Chunyan Miao.


University of Science and Technology of China, China
Bachelor of Engineering (2014.9 - 2018.8)
Major in Informantion Science and Technology.

Experience

DAMO Academy, Alibaba (2019.7 - Now)
Position: Research Intern Mentor: Jingyuan Cheng, Xiansheng Hua
Major topic: De-biased Image Recognition
My work focus on general image recognition where the data is not ideally balanced, well-labeled, and time-streaming in realistc sceneros.
Design-Innovation Project & SUGAR Network, USTC & Stanford (2017.6 - 2018.6)
Position: Team Leader Mentor: Weiping Li, Bin Li
Major topic: Accessible Design for Helping the Blind
We design an interactive sticker and its companion app to help the blind record daily life.
Research Exchange, University of Technology Sydney (2017.6 - 2017.8)
Mentor: Stuart Perry
Major topic: Reflaction Detection of Light-field Images
I design a reflaction-detector based on the incontinuous scene depth calculated by light-field images.
MOE-Microsoft Key Lab, USTC (2016.8 - 2017.9)
Mentor: Zhibo Chen
Major Project: Subjective Quality Assessment of Plenoptic Images
I design a scoring system based on C# for volunteers to evaluate the images, where the photo refocus according to the position the click.

Hobbies

Jazz Drum

You can check my Bilibili page for videos.

English Caligraphy

 Just for fun. Very useful for writing birthday cards.

Reading

 Wide love spread from Agatha Christie to Stefan Zweig.



All rights reserved & Last update on Feb, 2022