Yun Liu

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

yun.liu@vision.ee.ethz.ch

Google Scholar

Github

Journal Publications

(* indicates joint first authors, † indicates corresponding authors)

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] [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]
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, 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] [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]
RefinedBox: Refining for Fewer and High-quality Object Proposals
Yun Liu, Shi-Jie Li, and Ming-Ming Cheng
Neurocomputing, 2020
[PDF] [Code] [Official Version]
A Simple Saliency Detection Approach via Automatic Top-Down Feature Fusion
Yu Qiu, Yun Liu, Hui Yang, and Jing Xu
Neurocomputing, 2020
[PDF] [Code] [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]
Learning Hybrid Convolutional Features for Edge Detection
Xiaowei Hu, Yun Liu, Kai Wang, and Bo Ren
Neurocomputing, 2018
[PDF] [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

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]
An Evaluation of Feature Matchers for Fundamental Matrix Estimation
JiaWang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, and Ian Reid
British Machine Vision Conference (BMVC), 2019
[PDF] [Project Page] [Code]
Revisiting Multi-level Feature Fusion: A Simple yet Effective Network for Salient Object Detection
Yu Qiu, Yun Liu, Xiaoxu Ma, Lei Liu, Hongcan Gao, and Jing Xu
International Conference on Image Processing (ICIP), 2019
[PDF] [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]
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality
Guang-Yu Nie, Yun Liu, Cong Wang, Yue Liu, and Yongtian Wang
IEEE Virtual Reality (VR), 2019
[PDF] [Project Page] [Supplementary Material] [Official Version]
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System
Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Tao Li, and Ming-Ming Cheng
Asian Conference on Computer Vision (ACCV), 2018
[PDF] [Code] [Official Version]
Structured Skip List: A Compact Data Structure for 3D Reconstruction
Shi-Jie Li, Ming-Ming Cheng, Yun Liu, Shao-Ping Lu, Yahui Wang, and Victor Prisacariu
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
[PDF] [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]
Direct Line Guidance Odometry
Shi-Jie Li, Bo Ren, Yun Liu, Ming-Ming Cheng, Duncan Frost, and Victor Prisacariu
IEEE International Conference on Robotics and Automation (ICRA), 2018
[PDF] [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]