Yun Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 73

Top Topics

Nonlinear Regression

Salient Object Detection

Negative Correlation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Trans. Image Process.

Publications

Yu Qiu, Yun Liu, Shijie Li, Jing Xu
MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Youqi Liao, Shuhao Kang, Jianping Li, Yang Liu, Yun Liu, Zhen Dong, Bisheng Yang, Xieyuanli Chen
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots. IEEE Robotics Autom. Lett. 9 (4) (2024)
Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie
Rethinking Few-shot 3D Point Cloud Semantic Segmentation. CoRR (2024)
Yun Liu, Yu-Huan Wu, Guolei Sun, Le Zhang, Ajad Chhatkuli, Luc Van Gool
Vision Transformers with Hierarchical Attention. Mach. Intell. Res. 21 (4) (2024)
Yu Qiu, Yun Liu, Le Zhang, Haotian Lu, Jing Xu
Boosting Salient Object Detection With Transformer-Based Asymmetric Bilateral U-Net. IEEE Trans. Circuits Syst. Video Technol. 34 (4) (2024)
Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool
Rethinking Global Context in Crowd Counting. Mach. Intell. Res. 21 (4) (2024)
Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng
Revisiting Computer-Aided Tuberculosis Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng
P2T: Pyramid Pooling Transformer for Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng
Revisiting Computer-Aided Tuberculosis Diagnosis. CoRR (2023)
Yu Qiu, Yun Liu, Yanan Chen, Jianwen Zhang, Jinchao Zhu, Jing Xu
A2SPPNet: Attentive Atrous Spatial Pyramid Pooling Network for Salient Object Detection. IEEE Trans. Multim. 25 (2023)
Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu
Deep Negative Correlation Classification. CoRR (2022)
Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren
EDN: Salient Object Detection via Extremely-Downsampled Network. IEEE Trans. Image Process. 31 (2022)
Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. CoRR (2022)
Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao
Semantic Edge Detection with Diverse Deep Supervision. Int. J. Comput. Vis. 130 (1) (2022)
Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall
Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. IEEE Robotics Autom. Lett. 7 (2) (2022)
Yun Liu, Ming-Ming Cheng, Xin-Yu Zhang, Guang-Yu Nie, Meng Wang
DNA: Deeply Supervised Nonlinear Aggregation for Salient Object Detection. IEEE Trans. Cybern. 52 (7) (2022)
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng
MobileSal: Extremely Efficient RGB-D Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Yun Liu, Yu-Huan Wu, Peisong Wen, Yujun Shi, Yu Qiu, Ming-Ming Cheng
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Yu Qiu, Yun Liu, Shijie Li, Jing Xu
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation. AAAI (2021)
Yun Liu, Xin-Yu Zhang, Jia-Wang Bian, Le Zhang, Ming-Ming Cheng
SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection. IEEE Trans. Image Process. 30 (2021)
Yuchao Gu, Lijuan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. CVPR (2021)
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng
Nonlinear Regression via Deep Negative Correlation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng
Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation. IEEE Trans. Image Process. 30 (2021)
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng
Correction to "Nonlinear Regression via Deep Negative Correlation Learning". IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
Ordered or Orderless: A Revisit for Video Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Yun Liu, Yuchao Gu, Xin-Yu Zhang, Weiwei Wang, Ming-Ming Cheng
Lightweight Salient Object Detection via Hierarchical Visual Perception Learning. IEEE Trans. Cybern. 51 (9) (2021)
Yun Liu, Shijie Li, Ming-Ming Cheng
Refinedbox: Refining for fewer and high-quality object proposals. Neurocomputing 406 (2020)
Yu Qiu, Yun Liu, Jing Xu
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation. CoRR (2020)
Jia-Wang Bian, Wen-Yan Lin, Yun Liu, Le Zhang, Sai-Kit Yeung, Ming-Ming Cheng, Ian Reid
GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. Int. J. Comput. Vis. 128 (6) (2020)
Yu Qiu, Yun Liu, Hui Yang, Jing Xu
A simple saliency detection approach via automatic top-down feature fusion. Neurocomputing 388 (2020)
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng
MobileSal: Extremely Efficient RGB-D Salient Object Detection. CoRR (2020)
Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. CoRR (2020)
Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation. CoRR (2020)
Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu
Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection. AAAI (2020)
Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform. CoRR (2020)
Shijie Li, Yun Liu, Juergen Gall
Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation. CoRR (2020)
Yuchao Gu, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. CoRR (2020)
Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng
EDN: Salient Object Detection via Extremely-Downsampled Network. CoRR (2020)
Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng
Rethinking Computer-Aided Tuberculosis Diagnosis. CVPR (2020)
Yu Qiu, Yun Liu, Xiaoxu Ma, Lei Liu, Hongcan Gao, Jing Xu
Revisiting Multi-Level Feature Fusion: A Simple Yet Effective Network for Salient Object Detection. ICIP (2019)
Deng-Ping Fan, Zheng Lin, Jiaxing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks. CoRR (2019)
Yu Qiu, Yun Liu, Ao Liu, Jingwen Zhu, Jing Xu
Automatic Feature Exploration and an Application in Defect Prediction. IEEE Access 7 (2019)
Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr
BING: Binarized normed gradients for objectness estimation at 300fps. Comput. Vis. Media 5 (1) (2019)
Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji
Scoot: A Perceptual Metric for Facial Sketches. CoRR (2019)
Guang-Yu Nie, Yun Liu, Cong Wang, Yongtian Wang, Yue Liu
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality. VR (2019)
Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid
An Evaluation of Feature Matchers for Fundamental Matrix Estimation. BMVC (2019)
Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
Ordered or Orderless: A Revisit for Video based Person Re-Identification. CoRR (2019)
Yun Liu, Deng-Ping Fan, Guang-Yu Nie, Xinyu Zhang, Vahan Petrosyan, Ming-Ming Cheng
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection. CoRR (2019)
Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric. CoRR (2019)
Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid
An Evaluation of Feature Matchers forFundamental Matrix Estimation. CoRR (2019)
Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji
Scoot: A Perceptual Metric for Facial Sketches. ICCV (2019)
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng
Robust Regression via Deep Negative Correlation Learning. CoRR (2019)
Guang-Yu Nie, Yun Liu, Cong Wang, Yue Liu, Yongtian Wang
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality. CoRR (2019)
Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng, Yun Liu, Jia-Wang Bian, Ming-Ming Cheng
AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning. CoRR (2019)
Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Jia-Wang Bian, Le Zhang, Xiang Bai, Jinhui Tang
Richer Convolutional Features for Edge Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41 (8) (2019)
Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang
Multi-Level Context Ultra-Aggregation for Stereo Matching. CVPR (2019)
Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. ACCV (6) (2018)
Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr
Sequential Optimization for Efficient High-Quality Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. 40 (5) (2018)
Shi-Jie Li, Ming-Ming Cheng, Yun Liu, Shao-Ping Lu, Yahui Wang, Victor Adrian Prisacariu
Structured Skip List: A Compact Data Structure for 3D Reconstruction. IROS (2018)
Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng
DEL: Deep Embedding Learning for Efficient Image Segmentation. IJCAI (2018)
Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng
CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. CoRR (2018)
Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng
Crowd Counting With Deep Negative Correlation Learning. CVPR (2018)
Yun Liu, Ming-Ming Cheng, Jia-Wang Bian, Le Zhang, Peng-Tao Jiang, Yang Cao
Semantic Edge Detection with Diverse Deep Supervision. CoRR (2018)
Yun Liu, Yujun Shi, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng
Learning Pixel-wise Labeling from the Internet without Human Interaction. CoRR (2018)
Shi-Jie Li, Bo Ren, Yun Liu, Ming-Ming Cheng, Duncan P. Frost, Victor Adrian Prisacariu
Direct Line Guidance Odometry. ICRA (2018)
Xiaowei Hu, Yun Liu, Kai Wang, Bo Ren
Learning hybrid convolutional features for edge detection. Neurocomputing 313 (2018)
JiaWang Bian, Ruihan Yang, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid, WenHai Wu
MatchBench: An Evaluation of Feature Matchers. CoRR (2018)
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji
Structure-measure: A New Way to Evaluate Foreground Maps. CoRR (2017)
Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai
Richer Convolutional Features for Edge Detection. CVPR (2017)
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji
Structure-Measure: A New Way to Evaluate Foreground Maps. ICCV (2017)
Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai
Richer Convolutional Features for Edge Detection. CoRR (2016)
Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu
HFS: Hierarchical Feature Selection for Efficient Image Segmentation. ECCV (3) (2016)
Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama
BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR (2015)