Yun Liu

I am a postdoc, working with Prof. Luc Van Gool in Computer Vision Lab @ ETH Zurich. Under the supervision of Prof. Ming-Ming Cheng, I obtained my bachelor's degree and my doctoral degree from Nankai University in 2016 and 2020, respectively. My research interests include computer vision and machine learning (especially deep learning).

yun.liu@vision.ee.ethz.ch

Google Scholar

Github

Journal Publications

MobileSal: Extremely Efficient RGB-D Salient Object Detection
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, and Ming-Ming Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
[PDF] [Project Page] [Code] [Official Version]
Semantic Edge Detection with Diverse Deep Supervision
Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, and Dacheng Tao
International Journal of Computer Vision (IJCV), 2021
[PDF] [Code] [Official Version]
SAMNet: Stereoscopically Attentive Multi-scale Network for Lightweight Salient Object Detection
Yun Liu^#, Xin-Yu Zhang^#, Jia-Wang Bian, Le Zhang, and Ming-Ming Cheng
IEEE Transactions on Image Processing (TIP), 2021
[PDF] [Code] [Official Version]
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection
Yun Liu, Ming-Ming Cheng, Xin-Yu Zhang, Guang-Yu Nie, and Meng Wang
IEEE Transactions on Cybernetics (TCYB), 2021
[PDF] [Saliency Maps] [Official Version]
Lightweight Salient Object Detection via Hierarchical Visual Perception Learning
Yun Liu^#, Yu-Chao Gu^#, Xin-Yu Zhang^#, Weiwei Wang, and Ming-Ming Cheng
IEEE Transactions on Cybernetics (TCYB), 2020
[PDF] [Code] [中译版] [Official Version]
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
Yun Liu^#, Yu-Huan Wu^#, Peisong Wen, Yujun Shi, Yu Qiu, and Ming-Ming Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
[PDF] [Code] [Official Version]
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation
Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, and Juergen Gall
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
[PDF] [Project Page] [Code] [Official Version]
Ordered or Orderless: A Revisit for Video based Person Re-Identification
Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, and Chunhua Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
[PDF] [Code] [Official Version]
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence
Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, and Ian Reid
International Journal of Computer Vision (IJCV), 2020
[PDF] [Project Page] [Code] [Video] [Official Version]
Richer Convolutional Features for Edge Detection
Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, and Jinhui Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
[PDF] [Project Page] [Code] [Official Version]
Nonlinear Regression via Deep Negative Correlation Learning
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, and Zeng Zeng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
[PDF] [Project Page] [Code] [Official Version]
BING: Binarized Normed Gradients for Objectness Estimation at 300fps
Ming-Ming Cheng^#, Yun Liu^#, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, and Philip Torr
Computational Visual Media (CVMJ), 2019
[PDF] [Project Page] [Code] [Official Version]
Sequential Optimization for Efficient High-Quality Object Proposal Generation
Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, and Philip H.S. Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
[PDF] [Code] [Official Version]

Conference Publications

Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation
Guolei Sun, Yun Liu*, Hao Tang, Ajad Chhatkuli, Le Zhang, and Luc Van Gool
European Conference on Computer Vision (ECCV), 2022
[PDF] [Code] [Official Version]
Coarse-to-Fine Feature Mining for Video Semantic Segmentation
Guolei Sun, Yun Liu*, Henghui Ding, Thomas Probst, and Luc Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[PDF] [Code] [Official Version]
Zero Pixel Directional Boundary by Vector Transform
Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, and Luc Van Gool
International Conference on Learning Representations (ICLR), 2022
[PDF] [Official Version]
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search
Yuchao Gu, Lijuan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, and Ming-Ming Cheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[PDF] [Supplementary Material] [Code] [Official Version]
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
Yu Qiu, Yun Liu*, Shijie Li, and Jing Xu*
AAAI Conference on Artificial Intelligence (AAAI), 2021
[PDF] [Code] [Official Version]
Rethinking Computer-aided Tuberculosis Diagnosis
Yun Liu^#, Yu-Huan Wu^#, Yunfeng Ban, Huifang Wang, and Ming-Ming Cheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Oral), 2020
[PDF] [Project Page] [Dataset on Google Drive] [Dataset on Baidu Yunpan] [Online Challenge] [Video] [PPT] [Official Version]
Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection
Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, and Shao-Ping Lu
AAAI Conference on Artificial Intelligence (AAAI), 2020
[PDF] [Project Page] [Code] [Official Version]
Scoot: A Perceptual Metric for Facial Sketches
Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul Rosin, and Rongrong Ji
International Conference on Computer Vision (ICCV), 2019
[PDF] [Project Page] [Supplementary Material] [Code] [Official Version]
Multi-Level Context Ultra-Aggregation for Stereo Matching
Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, and Yongtian Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[PDF] [Project Page] [Supplementary Material] [PPT] [Official Version]
DEL: Deep Embedding Learning for Efficient Image Segmentation
Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, and Ming-Ming Cheng
International Joint Conference on Artificial Intelligence (IJCAI), 2018
[PDF] [Project Page] [Code] [Official Version]
Crowd Counting with Deep Negative Correlation Learning
Zenglin Shi, Le Zhang, Yun Liu, XiaoFeng Cao, Yangdong Ye, Ming-Ming Cheng, and Guoyan Zheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[PDF] [Project Page] [Code] [Official Version]
Structure-measure: A New Way to Evaluate Foreground Maps
DengPing Fan, Ming-Ming Cheng, Yun Liu, Tao Li, and Ali Borji
International Conference on Computer Vision (ICCV, Spotlight), 2017
[PDF] [Project Page] [Code] [PPT] [Official Version]
Richer Convolutional Features for Edge Detection
Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, and Xiang Bai
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[PDF] [Project Page] [Code] [Official Version]
HFS: Hierarchical Feature Selection for Efficient Image Segmentation
Ming-Ming Cheng^#, Yun Liu^#, Qibin Hou, Jiawang Bian, Philip Torr, Shi-Min Hu, and Zhuowen Tu
European Conference on Computer Vision (ECCV), 2016
[PDF] [Project Page] [Code] [Official Version]