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Email: yifan.liu04[at]adelaide.edu.au

Yifan Liu

I am a lecturer at ETH Zurich working with Prof. Fisher Yu . I am also an adjunct lecturer in the School of Computer Science at the University of Adelaide. Before that, I worked with Prof. Cengiz Oztireli at the University of Cambridge. I got my Phd degree at the University of Adelaide, supervised by Prof. Chunhua Shen. Before I came to Adelaide, I was a visiting student at MSRA under the supervision of Prof. Jingdong Wang. I got my master degree and my B.Sc. degree at School of Automation Science and Electrical Engineering at Beihang University supervised by Prof. Zengchang Qin. My research interest lies in building robust and generalized vision systems with timely and reliable feedback. Recently, I started working on vision-based robot learning. We are hiring self-motivated students on vision-based robot learning. Please feel free to drop me your CV at: yifanliu[AT]ee[DOT]ethz[DOT]ch.


  • Mar, 2023: Join ETH Zurich as a Lecturer.
  • Nov, 2022: The official code for SegVit has been released.
  • Sep, 2022: One NeurIPs paper has been accepted.
  • June, 2022: Two ECCV papers have been accepted. Congratulations on Xuqian and Yichen.
  • Jan, 2022: Join the University of Adelaide as a Lecturer.
  • Sep, 2021: One NeurIPs paper has been accepted.
  • Aug, 2021: Join the Universit of Cambridge as a senior researcher, working with Prof. Cengiz Oztireli.
  • July, 2021: Two ICCV papers about semi-supervised learning and knowledge distillation have been accepted.
  • Jun, 2021:Our journal paper "Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction" has been accepted by TPAMI, and is avaiable online. [PDF]
  • May, 2021: We release the code for depth estimation.
  • March, 2021: One CVPR paper has been accepted.
  • Dec, 2020: Our new channel-wise distillation method is simple and outperforms previous spatial distillation methods. The code is avaiable.
  • July, 2020: Three ECCV papers have been accepted.
  • Jun, 2020: Our journal paper "Structured Knowledge Distillation for Dense Predcition" has been accepted by TPAMI, and is avaiable online. [PDF]
  • Feb, 2020: Demo Code of our new work on semantic video segmentation has been released.
  • Oct, 2019: Training Code of our structure knowledge distillation has been released.
  • May, 2019: One ICCV papers have been accepted.
  • Mar, 2019: One CVPR papers have been accepted (Oral:288/5160).
  • Feb, 2019: We are the 3nd winner for AI Edge Contest, on Semantic segmentation (3/90).

  • Publications ( Google Scholar Github )

    SegViT: Semantic Segmentation with Plain Vision Transformers
    Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu
    (NeruIPs), 2022
    [Paper] [Code]
    Semantic-guided Multi-Mask Image Harmonization
    Xuqian Ren, Yifan Liu
    (ECCV), 2022
    [Paper] [Code] [Semantic Guided Harmonization Dataset]
    Controllable Shadow Generation Using Pixel Height Maps
    Yichen Sheng*, Yifan Liu*, Jianming Zhang, Wei Yin, A Cengiz Oztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes
    (ECCV), 2022
    [Paper] [Video] [Project] [Selected as Adobe MAX Sneaks in 2021!]
    Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
    Bowen Zhang*, Yifan Liu*, Zhi Tian*, Chunhua Shen
    (NeurIPs), 2021
    [Paper] [Code]
    Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction
    Wei Yin, Yifan Liu, Chunhua Shen
    (TPAMI), 2021
    [Paper] [Code]
    Channel-wise Distillation for Dense Prediction
    Changyong Shu*, Yifan Liu*, Jianfei Gao, Lin Xu, Chunhua Shen
    (ICCV), 2021
    [Paper] [Code] [中文介绍]
    Generic Perceptual Loss for Modeling Structured Output Dependencies
    Yifan Liu, Hao Chen, Yu Chen, Wei Yin, Chunhua Shen
    Efficient Semantic Video Segmentation with Per-frame Inference
    Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang
    [PDF] Extended Version with Instance Seg and Video Matting [Code]
    Structured Knowledge Distillation for Dense Prediction
    Yifan Liu, Changyong Shu, Jingdong Wang, Chunhua Shen
    Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
    [PDF] [Code]
    Structured Knowledge Distillation for Semantic Segmentation
    Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
    Computer Vision and Pattern Recognition (CVPR), 2019, [oral]
    Enforcing geometric constraints of virtual normal for depth prediction
    Wei Yin, Yifan Liu, Chunhua Shen, Youliang Yan
    International Conference on Computer Vision (ICCV), 2019
    [PDF] [Code]
    MobileFAN: Transferring deep hidden representation for face alignment
    Yang Zhao, Yifan Liu, Chunhua Shen, Yongsheng Gao, Shengwu Xiong
    Pattern Recognition (PR), 2019
    Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks
    Yifan Liu, Zengchang Qin, Tao Wan, Zhenbo Luo
    Neurocomputing (Neurocomputing), 2018
    [PDF] [demo] [code]
    Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks
    Shuangting Liu, Jiaqi Zhang, Yuxin Chen,Yifan Liu, Zengchang Qin, Tao Wan
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, [oral]>
    Logical Parsing from Natural Language Based on a Neural Translation Model
    Yifan Liu*, Liang Li*, Zengchang Qin, Pengyu Li, Tao Wan
    Conference of the Pacific Association for Computational Linguistics (PACLING), 2017[oral]>

    Professional activities


    Neurocomputing, Pattern Recognition, Robotics and Automation Letters, Transactions on Medical Imaging, Transactions on Multimedia, Transactions on Circuits and Systems for Video Technology, Transactions on Pattern Analysis and Machine Intelligence


    IJCAI2019, AAAI2020, IJCAI2020, AAAI2021, NIPs2020, CVPR2021, IJCAI2021, ICCV2021, NIPs2021


    • AI Edge Contest, on Semantic segmentation Rank: 3/90
    • “ZhiYin maker” business plan competition, Rank: 2/207.


    • ”Early Career Researcher Award“ – Australian Pattern Recognition Society (APRS) 2022
    • Women in AI scholarship " by DAIRNet, 2022
    • ‘Dean's Commendation for Doctoral Thesis Excellence’ Award 2021
    • Google Phd Fellowship ”, 2020
    • “The outstanding graduates of Beijing”, 2016