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ORCIDFeng Liu 0036
Person information
- affiliation: Deepwise AI Lab, Beijing, China
- affiliation (former): Southeast University, School of Automation, Nanjing, China
- affiliation (former): Queen Mary University of London, UK
Other persons with the same name
- Feng Liu — disambiguation page
- Feng Liu 0001
![[0000-0002-7828-2090]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7828-2090")
— Chinese Academy of Sciences, State Key Laboratory of Information Security, Institute of Software, Beijing, China - Feng Liu 0002 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Feng Liu 0003 (aka: Feng (Alex) Liu) — University of Melbourne, School of Mathematics and Statistics, Australia (and 2 more)
- Feng Liu 0004 — Shanghai Maritime University, College of Information Engineering, China
- Feng Liu 0005 — The University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
- Feng Liu 0006 — Nanjing University, Department of Physics, China
- Feng Liu 0007 — Chinese Academy of Sciences, State Key Laboratory of Membrane Biology, Institute of Zoology, Beijing, China
- Feng Liu 0008 — Hefei University of Technology, School of Economics / Research Center of Industry Information, China
- Feng Liu 0009 — Beihang University, Department of School of Astronautics, Beijing, China (and 1 more)
- Feng Liu 0010 — Beihang University, School of Electronics and Information Engineering, Beijing, China (and 1 more)
- Feng Liu 0011 — Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA (and 2 more)
- Feng Liu 0012 — Nankai University, College of Electronic Information and Optical Engineering, Tianjin, China (and 1 more)
- Feng Liu 0013 — Shenzhen University, School of Computer Science and Software Engineering, China (and 2 more)
- Feng Liu 0014 — Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power Systems, Beijing, China
- Feng Liu 0015 — Portland State University, Computer Science Department, OR, USA (and 2 more)
- Feng Liu 0016 — Avaya Labs Research, Basking Ridge, NJ, USA
- Feng Liu 0017 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- Feng Liu 0018 — Nanjing University of Finance and Economics, School of Information Engineering, China
- Feng Liu 0019 — Southwest University, Faculty of Materials and Energy, Institute for Clean Energy and Advanced Materials, Chongqing, China
- Feng Liu 0020 — Dongbei University of Finance and Economics, School of Management Science and Engineering, Dalian, China (and 1 more)
- Feng Liu 0021 — Ludwig Maximilians University Munich, Germany
- Feng Liu 0022 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Feng Liu 0023 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Feng Liu 0024 — Anhui University, School of Computer Science and Technology, Hefei, China
- Feng Liu 0025 — Xidian University, Key Laboratory of Antennas and Microwave Technologies, Xi'an, China
- Feng Liu 0026 — Harbin Engineering University, College of Shipbuilding Engineering, Harbin, China
- Feng Liu 0027 — Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China
- Feng Liu 0028 — Nanjing University of Posts and Telecommunications, Jiangsu Provincial Key Lab of Image Processing and Image Communication, Nanjing, China
- Feng Liu 0029 — National University of Defense Technology, School of Computer Science, National Lab of Parallel Distributed Processing, Changsha, China
- Feng Liu 0030 — Chinese Academy of Sciences, Research Center on Fictitious Economy and Data Science, Beijing, China (and 2 more)
- Feng Liu 0031 — Vrije Universiteit Brussel, Computational Modeling Lab, Brussels, Belgium
- Feng Liu 0032 — National University of Defense Technology, College of Electronic Engineering, Hefei, China
- Feng Liu 0033 — Columbia University Medical Center, Department of Psychiatry, New York, NY, USA (and 1 more)
- Feng Liu 0034 — Harbin Institute of Technology, Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China
- Feng Liu 0035 — Tianjin Medical University, Department of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin, China (and 1 more)
- Feng Liu 0037 — Michigan State University, Department of Computer Science and Engineering, Computer Vision Lab, East Lansing, MI, USA (and 1 more)
- Feng Liu 0038 — Nanjing Tech University, College of Electrical Engineering and Control Science, China (and 2 more)
- Feng Liu 0039 — East China Normal University, China
- Feng Liu 0040 — Huawei Munich Research Center, Germany
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2020 – today
- 2022
[j5]Xiaoyu Chen, Hong-Yu Zhou, Feng Liu, Jiansen Guo, Liansheng Wang, Yizhou Yu:
MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images. Medical Image Anal. 80: 102506 (2022)- [c12]Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu:
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. ECCV (25) 2022: 21-37 - [c11]Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu:
Neighborhood Collective Estimation for Noisy Label Identification and Correction. ECCV (24) 2022: 128-145 - [c10]Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu:
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. NeurIPS 2022 - [i8]Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu:
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. CoRR abs/2207.14476 (2022) - [i7]Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu:
Neighborhood Collective Estimation for Noisy Label Identification and Correction. CoRR abs/2208.03207 (2022) - [i6]Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu:
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. CoRR abs/2210.07571 (2022) - 2020
- [j4]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 460-474 (2020) - [c9]Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang:
Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation. ISBI 2020: 772-776 - [c8]Xiaoqian Wang, Qianyi Zhang, Zhen Zhou, Feng Liu, Yizhou Yu, Yizhou Wang, Wen Gao:
Evaluating Multi-Class Segmentation Errors with Anatomical Priors. ISBI 2020: 953-956 - [c7]Qiuyue Liu, Zhen Zhou, Feng Liu, Xiangming Fang, Yizhou Yu, Yizhou Wang:
Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction. MICCAI (6) 2020: 518-528 - [i5]Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang:
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation. CoRR abs/2002.11918 (2020)
2010 – 2019
- 2018
- [c6]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
IVQA: Inverse Visual Question Answering. CVPR 2018: 8611-8619 - [i4]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. CoRR abs/1803.06936 (2018) - 2017
- [j3]Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Sketch-a-Net: A Deep Neural Network that Beats Humans. Int. J. Comput. Vis. 122(3): 411-425 (2017) - [c5]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Semantic Regularisation for Recurrent Image Annotation. CVPR 2017: 4160-4168 - [i3]Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales:
Actor-Critic Sequence Training for Image Captioning. CoRR abs/1706.09601 (2017) - [i2]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
iVQA: Inverse Visual Question Answering. CoRR abs/1710.03370 (2017) - 2016
- [c4]Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy:
Sketch Me That Shoe. CVPR 2016: 799-807 - [i1]Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
Semantic Regularisation for Recurrent Image Annotation. CoRR abs/1611.05490 (2016) - 2015
- [c3]Feng Liu, Yongzhen Huang, Wankou Yang, Changyin Sun:
High-level spatial modeling in convolutional neural network with application to pedestrian detection. CCECE 2015: 778-783 - 2014
- [j2]Chunfeng Song, Yongzhen Huang, Feng Liu, Zhenyu Wang, Liang Wang:
Deep auto-encoder based clustering. Intell. Data Anal. 18(Supplement): S65-S76 (2014) - [j1]Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang, Changyin Sun:
Spatial modeling via feature co-pooling and SG grafting. Neurocomputing 139: 415-422 (2014) - 2013
- [c2]Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, Tieniu Tan:
Auto-encoder Based Data Clustering. CIARP (1) 2013: 117-124 - [c1]Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang:
Boosting Deformable Part Model by Sample Sharing and Outlier Ablation. IScIDE 2013: 418-426
Coauthor Index
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