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ORCIDBo Liu 0005
Person information
- affiliation: Walmart Global Tech, Mountain View, CA, USA
- affiliation: JD Digits, Mountain View, CA, USA
- affiliation: Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
- affiliation: The Hong Kong Polytechnic University, Hong Kong
- affiliation: University of Science and Technolgy of China, Hefei, China
Other persons with the same name
- Bo Liu — disambiguation page
- Bo Liu 0001
![[0000-0002-3603-6617]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3603-6617")
— University of Technology Sydney, School of Computer Science, NSW, Australia (and 3 more) - Bo Liu 0002 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 3 more)
- Bo Liu 0003 — Glyndwr University, Wrexham, UK (and 2 more)
- Bo Liu 0004 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- Bo Liu 0006 — Auburn University, AL, USA (and 1 more)
- Bo Liu 0007 — North China University of Technology, College of Science, Beijing, China (and 1 more)
- Bo Liu 0008 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Center for Forecasting Science, Beijing, China (and 3 more)
- Bo Liu 0009 — Xidian University, International Research Center for Intelligent Perception and Computation, Xi'an, China (and 2 more)
- Bo Liu 0010 — NEC Labs China, Beijing, China
- Bo Liu 0011 — Beijing University of Technology, Faculty of Information Technology, College of Computer Science, Beijing, China
- Bo Liu 0012 — National University of Defense Technology, College of Advanced Interdisciplinary Studies, Changsha, China
- Bo Liu 0013 — Austrian Academy of Sciences, Institute for Quantum Optics and Quantum Information, Vienna, Austria (and 1 more)
- Bo Liu 0014 — National University of Defense Technology, School of Computer Science, Changsha, China
- Bo Liu 0015 — Hong Kong University of Science and Technology, Hong Kong
- Bo Liu 0016 — Qian Xuesen Laboratory of Space Technology, Beijing, China
- Bo Liu 0017 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Bo Liu 0018 — Beijing Institute of Control Engineering, On-Board Computer and Electronic Technology Laboratory, Beijing, China (and 1 more)
- Bo Liu 0019 — Southeast University, School of Electronic Science and Engineering, National ASIC System Engineering Technology Research Center, Nanjing, China
- Bo Liu 0020 — Nanjing University of Information Science and Technology, Institute of Optoelectronics, Nanjing, China (and 1 more)
- Bo Liu 0021 — University of Maryland, College Park, MD, USA
- Bo Liu 0022 — Chongqing University of Posts and Telecommunication, Chongqing Key Laboratory of Signal and Information Processing, Chongqing, China
- Bo Liu 0023 — Harbin Institute of Technology, School of Computer Sciences and Technology, Center for Bioinformatics, Harbin, China
- Bo Liu 0024 — Massey University, Auckland, New Zealand (and 2 more)
- Bo Liu 0025 — University of Nebraska-Lincoln, Power and Energy Systems Laboratory, Lincoln, NE, USA
- Bo Liu 0026 — Southeast University, National ASIC System Engineering Technology Research Center, Nanjing, China
- Bo Liu 0027 — Beihang University, School of Astronautics, Image Processing Center, Beijing, China
- Bo Liu 0028 — Tianjin University, School of Electrical and Information Engineering, China
- Bo Liu 0029 — University of Tennessee, Department of Electrical Engineering and Computer Science, Center for Ultra-Wide-Area Resilient Electric Energy Transmission Networks, Knoxville, TN, USA
- Bo Liu 0030 — University of Science and Technology Beijing, School of Mechanical Engineering, Beijing, China
- Bo Liu 0031 — Henan University of Science and Technology, Electrical Engineering College, Luoyang, China (and 1 more)
- Bo Liu 0032 — Beijing Jiaotong University, School of Electrical Engineering, Beijing, China
- Bo Liu 0033 — Southwest University, College of Computer and Information Science, RISE - Centre for Research and Innovation in Software Engineering, Chongqing, China (and 1 more)
- Bo Liu 0034 — Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China (and 1 more)
- Bo Liu 0035 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Bo Liu 0036 — Northeast Electric Power University, Jilin City, School of Electrical Engineering, China
- Bo Liu 0037 — Army Equipment Department in Shenyang, China
- Bo Liu 0038 — Shenyang Ligong University, School of Automation and Electrical Engineering, China
- Bo Liu 0039 — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 1 more)
- Bo Liu 0040 — Kansas State University, Department of Electrical and Computer Engineering, Manhattan, KS, USA
- Bo Liu 0041 — King Fahd University of Petroleum and Minerals, Electrical Engineering Department, Dhahran, Saudi Arabia (and 1 more)
- Bo Liu 0042 — University of Texas at Austin, Department of Computer Science, Austin, TX, USA (and 1 more)
- Bo Liu 0043 — Wormpex AI Research, Bellevue, WA, USA (and 2 more)
- Bo Liu 0044 — NVIDIA Corporation, Santa Clara, CA, USA (and 1 more)
- Bo Liu 0045 — South China Normal University, School of Computer Science, Guangzhou, China
- Bo Liu 0046 — Shaanxi Normal University, School of Computer Science, Xi'an, China (and 1 more)
- Bo Liu 0047 — Chongqing University of Posts and Telecommunications, Department of Computer Science and Technology, Chongqing, China (and 1 more)
- Bo Liu 0048 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Bo Liu 0049 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
- Bo Liu 0050 — Beijing Jiaotong University, Beijing Key Lab of Traffic Data Analysis and Mining, Beijing, China (and 1 more)
- Bo Liu 0051 — FZI Research Center for Information Technology, Karlsruhe, Germany
- Bo Liu 0052 — PLA University of Science and Technology, College of Command Information Systems, Nanjing, China
- Bo Liu 0053 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Bo Liu 0054 — Xidian University, Academy of Advanced Interdisciplinary Research, Key Laboratory of Intelligent Perception and Image, Xi'an, China
- Bo Liu 0055 — Chinese Academy of Medical Sciences, Institute of Pathogen Biology, Beijing, China (and 1 more)
- Bo Liu 0056 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Bo Liu 0057 — Huazhong University of Science and Technology, School of Computer Science and Technology, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, National Engineering Research Center for Big Data Technology and System, Wuhan, China
- Bo Liu 0058 — Stevens Institute of Technology, Department of Electrical and Computer Engineering, Hoboken, NJ, USA
- Bo Liu 0059 — Harbin University of Science and Technology, College of Chemical and Environmental Engineering, Harbin, China
- Bo Liu 0060 — Fujitsu R&D Center, Beijing, China
- Bo Liu 0061 — Beijing Jiaotong University, School of Computer and Information Technology, Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing, China (and 1 more)
- Bo Liu 0062 — Jinan University, Department of Computer Science, Guangzhou, China (and 1 more)
- Bo Liu 0063 — Hikstor Technology Company, Hangzhou, China (and 2 more)
- Bo Liu 0064 — Hebei Academy of Sciences, Shijiazhuang, China
- Bo Liu 0065 — Harbin Institute of Technology, School of Electrical Engineering and Automation, Harbin, China
- Bo Liu 0066 — Harbin Institute of Technology, Space Control and Inertial Technology Research Center, Harbin, China
- Bo Liu 0067 — Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China
- Bo Liu 0068 — East China University of Technology, Faculty of Geomatics, Nanchang, China (and 1 more)
- Bo Liu 0069 — Chinese Academy of Sciences, Institute of Optics and Electronics, Key Laboratory of Science and Technology on Space Optoelectronic Precision Measurement, Chengdu, China (and 1 more)
- Bo Liu 0070 — Shenyang University of Technology, School of Information Science and Engineering, Shenyang, China
- Bo Liu 0071 — Chinese Academy of Sciences, National Space Science Center, Key Laboratory of Electronics and Information Technology for Space System, Beijing, China
- Bo Liu 0072 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China (and 1 more)
- Bo Liu 0073 — Zhejiang Laboratory, Research Center for Optical Fiber Sensing, Hangzhou, China (and 1 more)
- Bo Liu 0074 — Beijing Institute of Technology, School of Mechanical Engineering, Beijing, China
- Bo Liu 0075 — Beijing Institute of Technology, School of Optics and Photonics, Image Engineering & Video Technology Lab, Beijing, China
- Bo Liu 0076 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Bo Liu 0077 — Guangzhou City University of Technology, China (and 1 more)
- Bo Liu 0078 — China Construction Capital Holdings Co., China
- Bo Liu 0079 — Beijing University of Posts and Telecommunications, Beijing, China
- Bo Liu 0080 — Peking University, School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Beijing, China
- Bo Liu 0081 — Xi'an University of Architecture & Technology, School of Civil Engineering, Xi'an, China
- Bo Liu 0082 — Chinese Academy of Sciences, Institute of Atmospheric Physics, Key Laboratory of Middle Atmospheric and Global Environment Observation (LAGEO), Beijing, China
- Bo Liu 0083 — Dalian University of Technology, School of Mechanical Engineering, Dalian, China
- Bo Liu 0084 — Wuhan University, School of Mathematics and Statistics, Wuhan, China (and 1 more)
- Bo Liu 0085 — Macau University of Science and Technology, Faculty of Innovation Engineering, Macao, China (and 1 more)
- Bo Liu 0086 — Nankai University, College of Electronic Information and Optical Engineering, Tianjin, China
- Bo Liu 0087 — Dalian Minzu University, College of Information and Communication Engineering, Dalian, China
- Bo Liu 0088 — Shandong University of Technology, School of Physics and Optoelectronic Engineering, Laboratory of Functional Molecules and Materials, Zibo, China
- Bo Liu 0089 — Shandong University, Shandong Medical Imaging Research Institute, Jinan, China
- Bo Liu 0090 — China University of Mining and Technology, Beijing, China
- Bo Liu 0091 — University of Washington, Global Innovation Exchange, Bellevue, WA, USA
- Bo Liu 0092 — University of Waterloo, David R. Cheriton School of Computer Science, ON, Canada
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2020 – today
- 2023
[j21]Hongjia Ruan, Huihui Song, Bo Liu, Yong Cheng, Qingshan Liu:
Intellectual property protection for deep semantic segmentation models. Frontiers Comput. Sci. 17(1): 171306 (2023)- [c37]Leming Guo, Wanli Xue, Qing Guo, Bo Liu, Kaihua Zhang, Tiantian Yuan, Shengyong Chen:
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition. CVPR 2023: 10771-10780 - [c36]Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu:
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification. ICCV 2023: 4055-4064 - [c35]Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas:
Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation. ISBI 2023: 1-5 - [c34]Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas:
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. MICCAI (7) 2023: 132-142 - [i19]Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas:
Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation. CoRR abs/2303.14357 (2023) - [i18]Tao He, Sheng Huang, Wenhao Tang, Bo Liu:
Deformable Kernel Expansion Model for Efficient Arbitrary-shaped Scene Text Detection. CoRR abs/2303.15737 (2023) - [i17]Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu:
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification. CoRR abs/2307.15254 (2023) - [i16]Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas:
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. CoRR abs/2308.09223 (2023) - 2022
- [j20]Lei Wang, Sheng Huang, Luwen Huangfu, Bo Liu, Xiaohong Zhang:
Multi-label out-of-distribution detection via exploiting sparsity and co-occurrence of labels. Image Vis. Comput. 126: 104548 (2022) - [j19]Huihui Song, Yutong Jin, Yong Cheng, Bo Liu, Dong Liu, Qingshan Liu:
Learning interlaced sparse Sinkhorn matching network for video super-resolution. Pattern Recognit. 124: 108475 (2022) - [j18]Fengtao Zhou, Sheng Huang, Bo Liu, Dan Yang:
Multi-Label Image Classification via Category Prototype Compositional Learning. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4513-4525 (2022) - [j17]Jiaqing Fan, Bo Liu, Kaihua Zhang, Qingshan Liu:
Semi-Supervised Video Object Segmentation via Learning Object-Aware Global-Local Correspondence. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8153-8164 (2022) - [j16]Tengpeng Li, Kaihua Zhang, Shiwen Shen, Bo Liu, Qingshan Liu, Zhu Li:
Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network. IEEE Trans. Multim. 24: 492-505 (2022) - [c33]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c32]Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu:
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. IJCAI 2022: 1495-1501 - [i15]Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu:
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. CoRR abs/2205.10986 (2022) - 2021
- [j15]Zhaokun Li, Xueliang Liu, Ye Zhao, Bo Liu, Zhen Huang, Richang Hong:
A lightweight multi-scale aggregated model for detecting aerial images captured by UAVs. J. Vis. Commun. Image Represent. 77: 103058 (2021) - [j14]Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu:
Video saliency prediction using enhanced spatiotemporal alignment network. Pattern Recognit. 109: 107615 (2021) - [j13]Huihui Song, Wenjie Xu, Dong Liu, Bo Liu, Qingshan Liu, Dimitris N. Metaxas:
Multi-Stage Feature Fusion Network for Video Super-Resolution. IEEE Trans. Image Process. 30: 2923-2934 (2021) - [j12]Jingru Yi, Pengxiang Wu, Hui Tang, Bo Liu, Qiaoying Huang, Hui Qu, Lianyi Han, Wei Fan, Daniel J. Hoeppner, Dimitris N. Metaxas:
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images. IEEE Trans. Medical Imaging 40(9): 2403-2414 (2021) - [c31]Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang:
LRSC: Learning Representations for Subspace Clustering. AAAI 2021: 8340-8348 - [c30]Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance. CVPR 2021: 13703-13712 - [c29]Kaihua Zhang, Zicheng Zhao, Dong Liu, Qingshan Liu, Bo Liu:
Deep Transport Network for Unsupervised Video Object Segmentation. ICCV 2021: 8761-8770 - [c28]Fei Xie, Wankou Yang, Kaihua Zhang, Bo Liu, Guangting Wang, Wangmeng Zuo:
Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking. ICCVW 2021: 2678-2687 - [c27]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c26]Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors. WACV 2021: 2149-2158 - [i14]Jingru Yi, Pengxiang Wu, Hui Tang, Bo Liu, Qiaoying Huang, Hui Qu, Lianyi Han, Wei Fan, Daniel J. Hoeppner, Dimitris N. Metaxas:
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images. CoRR abs/2106.07159 (2021) - [i13]Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen:
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. CoRR abs/2107.04129 (2021) - 2020
- [j11]Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding. J. Mach. Learn. Res. 21: 152:1-152:50 (2020) - [j10]Yubao Sun, Jiwei Chen, Qingshan Liu, Bo Liu, Guodong Guo:
Dual-Path Attention Network for Compressed Sensing Image Reconstruction. IEEE Trans. Image Process. 29: 9482-9495 (2020) - [c25]Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. AAAI 2020: 10909-10916 - [c24]Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan:
Object-Guided Instance Segmentation for Biological Images. AAAI 2020: 12677-12684 - [c23]Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu:
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation. AAAI 2020: 12813-12820 - [c22]Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu:
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection. CVPR 2020: 9047-9056 - [c21]Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
Meta-learning with Network Pruning. ECCV (19) 2020: 675-700 - [c20]Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li:
Dual Temporal Memory Network for Efficient Video Object Segmentation. ACM Multimedia 2020: 1515-1523 - [c19]Fei Xie, Ning Wang, Yuncong Yao, Wankou Yang, Kaihua Zhang, Bo Liu:
Hierarchical Representations with Discriminative Meta-filters in Dual Path Network for Tracking. PRCV (2) 2020: 303-315 - [i12]Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu:
Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network. CoRR abs/2001.00292 (2020) - [i11]Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li:
Dual Temporal Memory Network for Efficient Video Object Segmentation. CoRR abs/2003.06125 (2020) - [i10]Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu:
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection. CoRR abs/2003.06167 (2020) - [i9]Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
Meta-Learning with Network Pruning. CoRR abs/2007.03219 (2020) - [i8]Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors. CoRR abs/2008.07043 (2020) - [i7]Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, Wangmeng Zuo:
Discriminative Segmentation Tracking Using Dual Memory Banks. CoRR abs/2009.09669 (2020)
2010 – 2019
- 2019
- [j9]Yahui Wang, Bo Liu, Xiaotong Yuan:
基于近似牛顿法的分布式卷积神经网络训练 (Distributed Convolutional Neural Networks Based on Approximate Newton-type Mothod). 计算机科学 46(7): 180-185 (2019) - [c18]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas:
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. AISTATS 2019: 343-352 - [c17]Kaihua Zhang, Tengpeng Li, Bo Liu, Qingshan Liu:
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing. CVPR 2019: 3095-3104 - [c16]Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas:
Sharpen Focus: Learning With Attention Separability and Consistency. ICCV 2019: 512-521 - [c15]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Multi-scale Cell Instance Segmentation with Keypoint Graph Based Bounding Boxes. MICCAI (1) 2019: 369-377 - [i6]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes. CoRR abs/1907.09140 (2019) - [i5]Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan:
Object-Guided Instance Segmentation for Biological Images. CoRR abs/1911.09199 (2019) - [i4]Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. CoRR abs/1911.09298 (2019) - [i3]Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu:
Deep Object Co-segmentation via Spatial-Semantic Network Modulation. CoRR abs/1911.12950 (2019) - 2018
- [c14]Dong Yang, Bo Liu, Leon Axel, Dimitris N. Metaxas:
3D LV Probabilistic Segmentation in Cardiac MRI Using Generative Adversarial Network. STACOM@MICCAI 2018: 181-190 - 2017
- [j8]Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas:
Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition. ACM Trans. Embed. Comput. Syst. 16(3): 75:1-75:17 (2017) - [c13]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. ICML 2017: 2179-2187 - [i2]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. CoRR abs/1703.00119 (2017) - 2016
- [c12]Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas:
Decentralized Robust Subspace Clustering. AAAI 2016: 3539-3545 - [c11]Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas:
Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method. IJCAI 2016: 1760-1766 - [i1]Sheng Huang, Dan Yang, Bo Liu, Xiaohong Zhang:
Regression-based Hypergraph Learning for Image Clustering and Classification. CoRR abs/1603.04150 (2016) - 2014
- [j7]Jingjing Liu, Bo Liu, Shaoting Zhang, Fei Yang, Peng Yang, Dimitris N. Metaxas, Carol Neidle:
Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions. Image Vis. Comput. 32(10): 671-681 (2014) - [c10]Bo Liu, Jingjing Liu, Xiang Yu, Dimitris N. Metaxas, Carol Neidle:
3D Face Tracking and Multi-Scale, Spatio-temporal Analysis of Linguistically Significant Facial Expressions and Head Positions in ASL. LREC 2014: 4512-4518 - 2013
- [c9]Xiang Yu, Shaoting Zhang, Bo Liu, Lin Zhong, Dimitris N. Metaxas:
Large Scale Medical Image Search via Unsupervised PCA Hashing. CVPR Workshops 2013: 393-398 - [c8]Jingjing Liu, Bo Liu, Shaoting Zhang, Fei Yang, Peng Yang, Dimitris N. Metaxas, Carol Neidle:
Recognizing eyebrow and periodic head gestures using CRFs for non-manual grammatical marker detection in ASL. FG 2013: 1-6 - 2012
- [c7]Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas:
Learning active facial patches for expression analysis. CVPR 2012: 2562-2569 - [c6]Dimitris N. Metaxas, Bo Liu, Fei Yang, Peng Yang, Nicholas Michael, Carol Neidle:
Recognition of Nonmanual Markers in American Sign Language (ASL) Using Non-Parametric Adaptive 2D-3D Face Tracking. LREC 2012: 2414-2420 - 2011
- [j6]Bo Liu, Zhu Li, Linjun Yang, Meng Wang, Xinmei Tian:
Real-Time Video Copy-Location Detection in Large-Scale Repositories. IEEE Multim. 18(3): 22-31 (2011) - 2010
- [j5]Meng Wang, Bo Liu, Jinhui Tang, Xian-Sheng Hua:
Metric learning with feature decomposition for image categorization. Neurocomputing 73(10-12): 1562-1569 (2010) - [j4]Meng Wang, Bo Liu, Xian-Sheng Hua:
Accessible image search for colorblindness. ACM Trans. Intell. Syst. Technol. 1(1): 8:1-8:26 (2010) - [j3]Meng Wang, Yelong Sheng, Bo Liu, Xian-Sheng Hua:
In-Image Accessibility Indication. IEEE Trans. Multim. 12(4): 330-336 (2010) - [j2]Bo Liu, Meng Wang, Richang Hong, Zheng-Jun Zha, Xian-Sheng Hua:
Joint Learning of Labels and Distance Metric. IEEE Trans. Syst. Man Cybern. Part B 40(3): 973-978 (2010) - [c5]Bo Liu, Zhu Li, Meng Wang, Aggelos K. Katsaggelos:
In-sequence video duplicate detection with fast point-to-line matching. ICIP 2010: 1037-1040 - [c4]Bo Liu, Zhu Li, Meng Wang:
Efficient video duplicate detection via compact curve matching. ICME 2010: 100-105
2000 – 2009
- 2009
- [c3]Bo Liu, Meng Wang, Linjun Yang, Xiuqing Wu, Xian-Sheng Hua:
Efficient image and video re-coloring for colorblindness. ICME 2009: 906-909 - [c2]Meng Wang, Bo Liu, Xian-Sheng Hua:
Accessible image search. ACM Multimedia 2009: 291-300 - [c1]Meng Wang, Bo Liu, Linjun Yang, Xian-Sheng Hua:
Accommodating colorblind users in image search. SIGIR 2009: 839 - 2008
- [j1]Shanshan Li, Richang Hong, Bo Liu, Xiuqing Wu:
A Quality Metric Based on Color Similarity for Image Fusion. Int. J. Inf. Acquis. 5(3): 235-245 (2008)
Coauthor Index
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