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Liang Zheng

Liang Zheng

Associate Professor

School of Computing
Australian National University
Room N214, CSIT Building, ANU Campus, Australia 2601

Email: liang.zheng@anu.edu.au

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Short Bio: I am an Associate Professor (with Tenure) in the School of Computing, Australian National University (ANU). I joined ANU in 2018 and held the CS Futures Fellowship and ARC DECRA Fellowship. I received my Ph.D. (EE) from Tsinghua University in 2015, and my B.S. (Biology) from Tsinghua University in 2010. I was named Top-40 Early Achievers by The Australian.

Research interest: I have broad interest in computer vision. I am working with a group of talented students designing protocols and architectures to discover the underlying patterns and laws of data and algorithms.

Position Openings:

[Research Fellow] My group does not have openings for research fellows.

[PhD students] I am looking for highly motivated PhD students with exceptional English ability, coding ability and research experience. A prospective student should have high GPA and rich experience in research.

[Visiting students] If you are interested in a visiting scholar position, please be kindly advised that I do not provide funding for it. If you can secure externel funding support and if you are highly motivated and experienced in research, please drop me an email.

[ANU students] If you are an ANU undergraduate looking for an Honors project, please note that I usually take 2-3 honors students each year and that 24-unit projects are preferred. If you are an ANU master student looking for individual projects, you should have some research background, good GPA and coding abilities. You should also have sufficient time for research.

News

  • I serve as a Program Co-Chair for ACM Multimedia 2024, Melboune, Australia.
  • I serve as a Program Co-Chair for IEEE International Conference on Advanced Video and Signal-Based Sensing (AVSS 2024), Niagara Fall, Canada.
  • I co-organize the 1st Workshop on Vision Datasets Understanding in conjunction with CVPR 2022.
  • I'm giving a tutorial Evaluating models beyond the textbook: out-of-distribution and without labels in CVPR 2022.
  • Random Erasing (AAAI 2020) is included into the official Pytorch package! We report improvement on ImageNet dataset.
  • We have released the PersonX engine! It has several subsets to evaluate standard re-id and domain adaptive re-id. But most importantly, it allows us to generate datasets freely!
  • I am co-organizing the 2020 AI City Challenge in CVPR 2020.
  • I am co-organizing 2nd Workshop and Challenge on Target Re-identification and Multi-Target Multi-Camera Tracking in CVPR 2019.
  • [Call for paper] IEEE International Conference on Multimedia and Expo (ICME) 2019 Special Session on "Multimedia Technologies Empowering Retail Experiences" [Deadline: 17 December 2018] [URL]
  • We have released the code for our paper "Generalizing A Person Retrieval Model Hetero- and Homogeneously". Link
  • We have released the code for our paper "Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)". Link
  • SIFT Meets CNN: A Decade Survey of Instance Retrieval. TPAMI, Accepted. [PDF] [Bibtex]

    • Professional Service

  • Associate Editor: ACM Computing Survey
  • Area Chair: CVPR 2021, 2023, 2024
  • Area Chair: ACM Multimedia 2020, 2021
  • Program Chair: IEEE Machine Learning for Signal Processing Workshop, 2021
  • Area Chair: ECCV 2020
  • Associate Editor: IEEE Transactions on Circuits and Systems for Video Technology
  • Senior PC: IJCAI 2019, 2020, AAAI 2020, 2022
  • Organizer: CVPR 2020-2023 workshop on "2020 AI CITY CHALLENGE"
  • CVPR 2019 tutorial: "Textures, Objects, Scenes: From Handcrafted Features to CNNs and Beyond"
  • Organizer: CVPR 2019 workshop on "Target Re-Identification and Multi-Target Multi-Camera Tracking"
  • Area Chair, ICMR 2019
  • Associate Editor, Visual Computer Journal
  • Area Chair, ICPR 2018
  • ECCV 2018 Tutorial: "Representation Learning in Pedestrian Re-identification".
  • ICPR 2018 Tutorial: "Person Re-identification: State of the Art and Future Trend".
  • Program Committee / Reviewer: CVPR 2017, 2018, 2019; ICCV 2017; ECCV 2016, 2018; ACM Multimedia 2015, 2016, 2017, 2018; TPAMI, IJCV, TIP, TMM, TCSVT

    • Funding

    I received research funding from the following institutes.
  • Government: ARC DECRA Fellowship (2020-2022), ARC Discovery Project (2021-2023), ARC Linkage Project (ANU-Seeing Machines, 2022-2025).
  • University: CS Futures Fellowship, ANU Alliances Development Fund.
  • Industry: Seeing Machines, Data61 Collaborative Research Project, ANU-Medicago Research Collaboration.