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ORCIDYun Liu 0011
Person information
- affiliation: Agency for Science, Technology and Research, A*STAR, Institute for Infocomm Research, I2R, Fusionopolis, Singapore
- affiliation: ETH Zürich, Computer Vision Lab, Zurich, Switzerland
- affiliation (PhD 2020): Nankai University, College of Computer Science, Tianjin, China
Other persons with the same name
- Yun Liu — disambiguation page
- Yun Liu 0001
![[0000-0002-2861-0316]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2861-0316")
— Beijing Jiaotong University, Beijing Municipal Commission of Education, China (and 1 more) - Yun Liu 0002 — College of Artificial Intelligence, Southwest University, Chongqing, China (and 1 more)
- Yun Liu 0003 — Jilin University, College of Communication Engineering, Changchun, China
- Yun Liu 0004 — Fudan University, Department of Biochemistry & Molecular Biology, Shanghai, China (and 1 more)
- Yun Liu 0005 — Kunming University of Science and Technology, Faculty of Information and Automation, China
- Yun Liu 0006 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- Yun Liu 0007 — Qingdao University of Science and Technology, School of Information Science and Technology, China
- Yun Liu 0008 — Shenzhen University, College of Mechatronics and Control Engineering, China (and 1 more)
- Yun Liu 0009 — Liaoning University, College of Information, Shenyang, China
- Yun Liu 0010 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China
- Yun Liu 0012 — Shandong University, School of Electrical Engineering, Jinan, China
- Yun Liu 0013 — Google AI Healthcare, Mountain View, CA, USA
- Yun Liu 0014 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Yun Liu 0015 — East China University of Science and Technology, Shanghai, China (and 1 more)
- Yun Liu 0016 — China Electronics Technology Group Corporation, 54th Research Institute, Shijiazhuang, China (and 1 more)
- Yun Liu 0017 — Moutai Institute, Department of Automation, Renhuai, China (and 1 more)
- Yun Liu 0018 — Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China (and 1 more)
- Yun Liu 0019 — Servo Tech, Inc., Chicago, IL, USA (and 1 more)
- Yun Liu 0020 — Nanjing Medical University, School of Biomedical Engineering and Informatics, Department of Medical Informatics, Nanjing, China (and 1 more)
- Yun Liu 0021 — University of Texas at Arlington, Department of Computer Science and Engineering, Arlington, TX, USA (and 1 more)
- Yun Liu 0022 — Chongqing Vocational College of Applied Technology, Public Basic Education Department, Chongqing, China
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2020 – today
- 2025
[j39]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Correction to: Deep negative correlation classification. Mach. Learn. 114(2): 28 (2025)- [j38]Tianyi Zhang, Chunyun Chen, Yun Liu, Xue Geng, Mohamed M. Sabry Aly, Jie Lin:
PSRR-MaxpoolNMS++: Fast Non-Maximum Suppression With Discretization and Pooling. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 978-993 (2025) - [j37]Ao Li, Le Zhang, Yun Liu, Ce Zhu:
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 3141-3158 (2025) - [j36]Shijie Li, Yun Liu, Juergen Gall:
Rethinking 3-D LiDAR Point Cloud Segmentation. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4079-4090 (2025) - [c25]Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie:
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation. ICLR 2025 - [i46]Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Junlin Han, Ender Konukoglu, Serge J. Belongie:
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model. CoRR abs/2503.16282 (2025) - [i45]Syed Ariff Syed Hesham, Yun Liu, Guolei Sun, Henghui Ding, Jing Yang, Ender Konukoglu, Xue Geng, Xudong Jiang:
Exploiting Temporal State Space Sharing for Video Semantic Segmentation. CoRR abs/2503.20824 (2025) - 2024
- [j35]Lei Sun, Yun Liu, Guolei Sun, Min Wu, Zhijie Xu, Kaiwei Wang, Luc Van Gool:
Global and Compact Video Context Embedding for Video Semantic Segmentation. IEEE Access 12: 135589-135600 (2024) - [j34]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): 640-651 (2024) - [j33]Yun Liu, Yu-Huan Wu, Guolei Sun, Le Zhang, Ajad Chhatkuli, Luc Van Gool:
Vision Transformers with Hierarchical Attention. Mach. Intell. Res. 21(4): 670-683 (2024) - [j32]Fen Fang, Yun Liu, Qianli Xu:
Localizing discriminative regions for fine-grained visual recognition: One could be better than many. Neurocomputing 610: 128611 (2024) - [j31]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Deep negative correlation classification. Mach. Learn. 113(10): 7223-7241 (2024) - [j30]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): 2316-2332 (2024) - [j29]Guolei Sun, Yun Liu, Henghui Ding, Min Wu, Luc Van Gool:
Learning Local and Global Temporal Contexts for Video Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6919-6934 (2024) - [j28]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): 3902-3909 (2024) - [j27]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): 2332-2345 (2024) - [j26]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): 8570-8584 (2024) - [c24]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. CVPR 2024: 3996-4006 - [i44]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 abs/2403.00592 (2024) - [i43]Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie:
Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation. CoRR abs/2410.22489 (2024) - [i42]Xinhao Li, Yun Liu, Guolei Sun, Min Wu, Le Zhang, Ce Zhu:
Towards Open-Vocabulary Video Semantic Segmentation. CoRR abs/2412.09329 (2024) - 2023
- [j25]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): 6647-6658 (2023) - [j24]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): 12760-12771 (2023) - [j23]Zhenyu Zhou, Xinyi Chen, Haijun Liao, Zhong Gan, Fei Xiao, Qi Tu, Wenwen Sun, Yun Liu, Shahid Mumtaz, Mohsen Guizani:
Collaborative Learning-Based Network Resource Scheduling and Route Management for Multi-Mode Green IoT. IEEE Trans. Green Commun. Netw. 7(2): 928-939 (2023) - [j22]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: 1991-2006 (2023) - [c23]Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops 2023: 1775-1787 - [c22]Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool:
Indiscernible Object Counting in Underwater Scenes. CVPR 2023: 13791-13801 - [c21]Ao Li, Le Zhang, Yun Liu, Ce Zhu:
Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution. ICCV 2023: 12480-12490 - [i41]Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool:
Indiscernible Object Counting in Underwater Scenes. CoRR abs/2304.11677 (2023) - [i40]Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. CoRR abs/2307.02848 (2023) - [i39]Ao Li, Le Zhang, Yun Liu, Ce Zhu:
Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution. CoRR abs/2308.05022 (2023) - [i38]Fen Fang, Yun Liu, Ali Koksal, Qianli Xu, Joo-Hwee Lim:
Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos. CoRR abs/2309.07409 (2023) - [i37]Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen:
Low-Resolution Self-Attention for Semantic Segmentation. CoRR abs/2310.05026 (2023) - [i36]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. CoRR abs/2311.12651 (2023) - 2022
- [j21]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): 179-198 (2022) - [j20]Zhenyu Zhou, Chen Liu, Zhao Wang, Lei Lv, Le Zhang, Xing Li, Xiaoyan Wang, Wenwen Sun, Guoqing He, Yun Liu:
DRL-Assisted Topology Identification and Time Synchronization for PIoT-Empowered Distributed Renewable Resource Dispatch. IEEE Internet Things Mag. 5(2): 13-19 (2022) - [j19]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): 1415-1428 (2022) - [j18]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): 10261-10269 (2022) - [j17]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): 738-745 (2022) - [j16]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): 6131-6142 (2022) - [j15]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: 3125-3136 (2022) - [c20]Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool:
Coarse-to-Fine Feature Mining for Video Semantic Segmentation. CVPR 2022: 3116-3127 - [c19]Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool:
Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation. ECCV (34) 2022: 522-539 - [c18]Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. ICLR 2022 - [i35]Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. CoRR abs/2203.08795 (2022) - [i34]Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool:
Coarse-to-Fine Feature Mining for Video Semantic Segmentation. CoRR abs/2204.03330 (2022) - [i33]Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool:
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation. CoRR abs/2207.10436 (2022) - [i32]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 abs/2208.08621 (2022) - [i31]Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Deep Negative Correlation Classification. CoRR abs/2212.07070 (2022) - 2021
- [j14]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): 982-998 (2021) - [j13]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): 1460-1466 (2021) - [j12]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): 2172 (2021) - [j11]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): 4439-4449 (2021) - [j10]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: 3804-3814 (2021) - [j9]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: 3897-3907 (2021) - [c17]Yu Qiu, Yun Liu, Shijie Li, Jing Xu:
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation. AAAI 2021: 4846-4854 - [c16]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: 12311-12320 - [i30]Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool:
Boosting Crowd Counting with Transformers. CoRR abs/2105.10926 (2021) - [i29]Yun Liu, Guolei Sun, Yu Qiu, Le Zhang, Ajad Chhatkuli, Luc Van Gool:
Transformer in Convolutional Neural Networks. CoRR abs/2106.03180 (2021) - [i28]Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng:
P2T: Pyramid Pooling Transformer for Scene Understanding. CoRR abs/2106.12011 (2021) - [i27]Guolei Sun, Yun Liu, Jingyun Liang, Luc Van Gool:
Boosting Few-shot Semantic Segmentation with Transformers. CoRR abs/2108.02266 (2021) - [i26]Yu Qiu, Yun Liu, Le Zhang, Jing Xu:
Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net. CoRR abs/2108.07851 (2021) - 2020
- [j8]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): 1580-1593 (2020) - [j7]Yu Qiu, Yun Liu, Hui Yang, Jing Xu:
A simple saliency detection approach via automatic top-down feature fusion. Neurocomputing 388: 124-134 (2020) - [j6]Yun Liu, Shijie Li, Ming-Ming Cheng:
Refinedbox: Refining for fewer and high-quality object proposals. Neurocomputing 406: 106-116 (2020) - [c15]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: 10869-10876 - [c14]Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng:
Rethinking Computer-Aided Tuberculosis Diagnosis. CVPR 2020: 2643-2652 - [i25]Yu Qiu, Yun Liu, Jing Xu:
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation. CoRR abs/2004.09750 (2020) - [i24]Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. CoRR abs/2006.09220 (2020) - [i23]Shijie Li, Yun Liu, Juergen Gall:
Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation. CoRR abs/2008.03928 (2020) - [i22]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 abs/2008.09162 (2020) - [i21]Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng:
Regularized Densely-connected Pyramid Network for Salient Instance Segmentation. CoRR abs/2008.12416 (2020) - [i20]Yuchao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng:
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow. CoRR abs/2009.00303 (2020) - [i19]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 abs/2010.00969 (2020) - [i18]Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng:
EDN: Salient Object Detection via Extremely-Downsampled Network. CoRR abs/2012.13093 (2020) - [i17]Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng:
MobileSal: Extremely Efficient RGB-D Salient Object Detection. CoRR abs/2012.13095 (2020)
2010 – 2019
- 2019
- [j5]Yu Qiu, Yun Liu, Ao Liu, Jingwen Zhu, Jing Xu:
Automatic Feature Exploration and an Application in Defect Prediction. IEEE Access 7: 112097-112112 (2019) - [j4]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): 3-20 (2019) - [j3]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): 1939-1946 (2019) - [c13]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: 25 - [c12]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: 3283-3291 - [c11]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: 5611-5621 - [c10]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: 4010-4014 - [c9]Guang-Yu Nie, Yun Liu, Cong Wang, Yongtian Wang, Yue Liu:
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality. VR 2019: 1100-1101 - [i16]Guang-Yu Nie, Yun Liu, Cong Wang, Yue Liu, Yongtian Wang:
Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality. CoRR abs/1902.06255 (2019) - [i15]Yun Liu, Deng-Ping Fan, Guang-Yu Nie, Xin-Yu Zhang, Vahan Petrosyan, Ming-Ming Cheng:
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection. CoRR abs/1903.12476 (2019) - [i14]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 abs/1906.02494 (2019) - [i13]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 abs/1907.06781 (2019) - [i12]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 abs/1908.08433 (2019) - [i11]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 abs/1908.09066 (2019) - [i10]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 abs/1908.09474 (2019) - [i9]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 abs/1911.12110 (2019) - [i8]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 abs/1912.11236 (2019) - 2018
- [j2]Xiaowei Hu, Yun Liu, Kai Wang, Bo Ren:
Learning hybrid convolutional features for edge detection. Neurocomputing 313: 377-385 (2018) - [j1]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): 1209-1223 (2018) - [c8]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: 34-49 - [c7]Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng:
Crowd Counting With Deep Negative Correlation Learning. CVPR 2018: 5382-5390 - [c6]Shi-Jie Li, Bo Ren, Yun Liu, Ming-Ming Cheng, Duncan P. Frost, Victor Adrian Prisacariu:
Direct Line Guidance Odometry. ICRA 2018: 1-7 - [c5]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: 864-870 - [c4]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: 1-7 - [i7]Yun Liu, Ming-Ming Cheng, Jia-Wang Bian, Le Zhang, Peng-Tao Jiang, Yang Cao:
Semantic Edge Detection with Diverse Deep Supervision. CoRR abs/1804.02864 (2018) - [i6]Yun Liu, Yujun Shi, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Jiashi Feng:
Learning Pixel-wise Labeling from the Internet without Human Interaction. CoRR abs/1805.07548 (2018) - [i5]JiaWang Bian, Ruihan Yang, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian D. Reid, WenHai Wu:
MatchBench: An Evaluation of Feature Matchers. CoRR abs/1808.02267 (2018) - [i4]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 abs/1811.12633 (2018) - 2017
- [c3]Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai:
Richer Convolutional Features for Edge Detection. CVPR 2017: 5872-5881 - [c2]Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji:
Structure-Measure: A New Way to Evaluate Foreground Maps. ICCV 2017: 4558-4567 - [i3]Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji:
Structure-measure: A New Way to Evaluate Foreground Maps. CoRR abs/1708.00786 (2017) - 2016
- [c1]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: 867-882 - [i2]Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai:
Richer Convolutional Features for Edge Detection. CoRR abs/1612.02103 (2016) - 2015
- [i1]Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama:
BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR abs/1511.04511 (2015)
Coauthor Index
[c25] [j30] [i43] [j25] [j24] [i40] [i37] [j21] [j19] [j18] [j16] [j15] [i32] [j14] [j13] [j12] [j11] [j10] [j9] [c16] [i28] [j8] [j6] [c15] [c14] [i24] [i21] [i20] [i19] [i18] [i17] [j4] [j3] [c13] [c12] [c11] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j1] [c8] [c7] [c6] [c5] [c4] [i7] [i6] [i5] [i4] [c3] [c2] [i3] [c1] [i2] [i1]
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