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Yu Liu 0012

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affiliation: KU Leuven, ESAT-PSI, Leuven, Belgium
affiliation (PhD 2018): Leiden University, Leiden Institute of Advanced Computer Science, Leiden, Netherlands
affiliation: Dalian University of Technology, School of Software Technology, Dalian, China

Other persons with the same name

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Yu Liu — disambiguation page
Yu Liu 0001 — Beijing University of Posts and Telecommunications, School of Information and Communication, China (and 3 more)
Yu Liu 0002 — Harbin Institute of Technology, Data and Knowledge Engineering Research Center, China
Yu Liu 0003 — Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China
Yu Liu 0004 — Tianjin University, School of Electronics and Information, China
Yu Liu 0005 — Naval Aviation University, Research Institute of Information Fusion, Yantai, China (and 2 more)
Yu Liu 0006 — University of Electronic Science and Technology of China, School of Mechatronics Engineering, Chengdu, China
Yu Liu 0007 — City University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong
Yu Liu 0008 — National University of Defense Technology, Department of System Engineering, Changsha, China (and 1 more)
Yu Liu 0009 — Harbin Institute of Technology, School of Astronautics, China

Yu Liu 0010 — Southeast University, School of Electrical Engineering, Nanjing, China
Yu Liu 0011 — Linköping University, Norrköping, Sweden
Yu Liu 0013 — Inceptio Technology, Fremont, CA, USA (and 1 more)
Yu Liu 0014 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
Yu Liu 0015 — Sensetime Group Limited, Beijing, China (and 1 more)
Yu Liu 0016 — Tsinghua University, Department of Electronic Engineering, State Key Laboratory on Microwave and Digital Communications, TNList, Beijing, China
Yu Liu 0017 — South China University of Technology, Department of Computer Science and Engineering, Guangzhou, China
Yu Liu 0018 — Imperial College London, UK
Yu Liu 0019 — Arizona State University, Tempe, USA
Yu Liu 0020 — Shandong University, Shandong Provincial Key Lab of Wireless Communication Technologies, Shandong, China
Yu Liu 0021 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
Yu Liu 0022 — Weifang University, School of Computer Engineering, China
Yu Liu 0023 — Hefei University of Technology, Department of Biomedical Engineering, China (and 1 more)
Yu Liu 0024 — Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, China
Yu Liu 0025 — North University of China, Science and Technology on Electronic Test and Measurement Laboratory, Taiyuan, China
Yu Liu 0026 — Chongqing University of Posts and Telecommunications, Chongqing Engineering Research Center of Intelligent Sensing Technology and Microsystem, Department of Optoelectronics Engineering, China (and 1 more)
Yu Liu 0027 — Southern University of Science and Technology, Shenzhen Key Laboratory of Complex Aerospace Flows, Shenzhen, China
Yu Liu 0028 — Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
Yu Liu 0029 — University of Adelaide, School of Computer Science, Adelaide, Australia
Yu Liu 0030 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
Yu Liu 0031 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China
Yu Liu 0032 — China University of Mining and Technology, School of Mechanical and Electrical Engineering, Xuzhou, China
Yu Liu 0033 — Beijing Institute of Technology, School of Information and Electronics, Key Laboratory of Fractional Signals and Systems, Beijing, China
Yu Liu 0034 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, Beijing, China (and 1 more)
Yu Liu 0035 — Dalian University of Technology, School of Software Technology, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China (and 2 more)
Yu Liu 0036 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
Yu Liu 0037 — Virginia Commonwealth University, Department of Electrical and Computer Engineering, Richmond, VA, USA (and 1 more)
Yu Liu 0038 — Wuhan Polytechnic University, School of Mathematics and Computer Science, Wuhan, China
Yu Liu 0039 — Guizhou University, College of Mining, Guiyang, China (and 1 more)
Yu Liu 0040 — Huazhong University of Science and Technology, Wuhan, China
Yu Liu 0041 — Huawei Technology Co. Ltd, Shenzhen, China (and 1 more)
Yu Liu 0042 — New Jersey Institute of Technology, Department of Electrical and Computer Engineering, Newark, NJ, USA
Yu Liu 0043 — South China University of Technology, School of Software Engineering, Guangzhou, China
Yu Liu 0044 — Saginaw Valley State University, University Center, MI, USA (and 1 more)
Yu Liu 0045 — Jiangnan University, Wuxi, China (and 1 more)
Yu Liu 0046 — Hong Kong Baptist University, Department of Computer Science, Hong Kong (and 1 more)
Yu Liu 0047 — Beijing University of Posts and Telecommunications, China
Yu Liu 0048 — North China Electric Power University, Baoding, China
Yu Liu 0049 — Shijiazhuang Posts and Telecommunications Technical College, China
Yu Liu 0050 — Chongqing Three Gorges University, College of Electronic and Information Engineering, China
Yu Liu 0051 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
Yu Liu 0052 — Southeast University, Nanjing, School of Computer Science and Engineering, China
Yu Liu 0053 — University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
Yu Liu 0054 — Tsinghua University, School of Aerospace Engineering, Beijing, China
Yu Liu 0055 — Tsinghua University, Department of Electronic Engineering, Beijing, China
Yu Liu 0056 — Xiamen University, School of Aerospace Engineering, China
Yu Liu 0057 — Stony Brook University, Department of Electrical and Computer Engineering, NY, USA
Yu Liu 0058 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
Yu Liu 0059 — University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA
Yu Liu 0060 — University Burgundy Franche-Comté, Laboratoire ImViA, Dijon, France
Yu Liu 0061 — AI Research, Citadel LLC, Seattle, WA, USA (and 1 more)
Yu Liu 0062 — Cummins Technical Center, Columbus, IN, USA (and 1 more)
Yu Liu 0063 — Alibaba Group, Machine Intelligence Technology Lab
Yu Liu 0064 — Beijing Normal University, International Academic Center of Complex Systems, Zhuhai, China
Yu Liu 0065 — University College London, UK
Yu Liu 0066 — University of Hong Kong
Yu Liu 0067 — Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
Yu Liu 0068 — Department of Computer Science and Technology, Tsinghua University, Beijing, China
Yu Liu 0069 — Clarkson University, CS Department, Potsdam, USA
Yu Liu 0070 — Beijing Jiaotong University, China
Yu Liu 0071 — Ant Group
Yu Liu 0072 — University Putra Malaysia, Faculty of Computer Science and Information Technology, Serdang, Malaysia

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2020 – today

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2024
[j22]
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Yu Liu, Jianghao Li, Yanyi Zhang, Qi Jia, Weimin Wang, Nan Pu, Nicu Sebe:
PMGNet: Disentanglement and entanglement benefit mutually for compositional zero-shot learning. Comput. Vis. Image Underst. 249: 104197 (2024)
[j21]
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Xiaomei Feng, Qi Jia, Zikun Zhao, Yu Liu, Xinwei Xue, Xin Fan:
Edge-Aware Correlation Learning for Unsupervised Progressive Homography Estimation. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4773-4785 (2024)
[c38]
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Yu Liu, Yaqi Cai, Qi Jia, Binglin Qiu, Weimin Wang, Nan Pu:
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization. CVPR 2024: 17679-17688
[c37]
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Cunjuan Zhu, Dongdong Cui, Qi Jia, Weimin Wang, Yu Liu, Michael S. Lew:
Sketch-Based 3D Shape Retrieval With Multi-View Fusion Transformer. ICASSP 2024: 3005-3009
[c36]
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Xiaomei Feng, Qi Jia, Yu Liu, Xin Fan, Longin Jan Latecki:
Depth-Guided Dominant Plane Perception for Unsupervised Homography Estimation. ICASSP 2024: 3480-3484
[c35]
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Yanyi Zhang, Qi Jia, Xin Fan, Yu Liu, Ran He:
CSCNet: Class-Specified Cascaded Network for Compositional Zero-Shot Learning. ICASSP 2024: 3705-3709
[c34]
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Ziyang Yu, Ting Yang, Qiong Chang, Yu Liu, Weimin Wang:
Attribution-Based Scanline Perturbation Attack on 3d Detectors of Lidar Point Clouds. ICASSP 2024: 4570-4574
[c33]
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Qi Jia, Shuilian Yao, Youcan Xu, Yu Liu, Dehao Kong, Longin Jan Latecki:
Fuzzy Boundary-Guided Network for Camouflaged Object Detection. ICME 2024: 1-6
[c32]
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Yixin Guo, Yu Liu, Jianghao Li, Weimin Wang, Qi Jia:
Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection. ACM Multimedia 2024: 1711-1720
[c31]
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Yu Liu, Longhan Feng, Qi Jia, Zezheng Liu, Zi-Huang Cao:
Two Teachers Are Better Than One: Semi-supervised Elliptical Object Detection by Dual-Teacher Collaborative Guidance. ACM Multimedia 2024: 6355-6363
[i13]
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  - journals/corr/abs-2403-05924
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Yanyi Zhang, Qi Jia, Xin Fan, Yu Liu, Ran He:
CSCNET: Class-Specified Cascaded Network for Compositional Zero-Shot Learning. CoRR abs/2403.05924 (2024)
[i12]
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  - journals/corr/abs-2405-06283
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Yu Liu, Yaqi Cai, Qi Jia, Binglin Qiu, Weimin Wang, Nan Pu:
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization. CoRR abs/2405.06283 (2024)
[i11]
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  - journals/corr/abs-2407-11610
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Weimin Wang, Yingxu Deng, Zezeng Li, Yu Liu, Na Lei:
MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Prediction. CoRR abs/2407.11610 (2024)
[i10]
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  - journals/corr/abs-2408-05974
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Yixin Guo, Yu Liu, Jianghao Li, Weimin Wang, Qi Jia:
Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection. CoRR abs/2408.05974 (2024)
2023
[j20]
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Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu:
Deep learning for video-text retrieval: a review. Int. J. Multim. Inf. Retr. 12(1): 3 (2023)
[j19]
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Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew:
Deep Learning for Instance Retrieval: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7270-7292 (2023)
[j18]
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Weimin Wang, Ting Yang, Yu Du, Yu Liu:
Snow Removal for LiDAR Point Clouds With Spatio-Temporal Conditional Random Fields. IEEE Robotics Autom. Lett. 8(10): 6739-6746 (2023)
[j17]
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Wei Chen, Haoyang Xu, Nan Pu, Yu Liu, Mingrui Lao, Weiping Wang, Li Liu, Michael S. Lew:
Lifelong Fine-Grained Image Retrieval. IEEE Trans. Multim. 25: 7533-7544 (2023)
[j16]
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Yu Liu, Tinne Tuytelaars:
Residual Tuning: Toward Novel Category Discovery Without Labels. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7271-7285 (2023)
[c30]
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Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew:
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering. AAAI 2023: 12995-13003
[c29]
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Qi Jia, Xiaomei Feng, Yu Liu, Xin Fan, Longin Jan Latecki:
Learning Pixel-wise Alignment for Unsupervised Image Stitching. ACM Multimedia 2023: 1392-1400
[c28]
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Mingrui Lao, Nan Pu, Yu Liu, Zhun Zhong, Erwin M. Bakker, Nicu Sebe, Michael S. Lew:
Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation. ACM Multimedia 2023: 4747-4758
[c27]
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Yaqi Cai, Nan Pu, Qi Jia, Weimin Wang, Yu Liu:
Broaden Your Positives: A General Rectification Approach for Novel Class Discovery. PRCV (4) 2023: 151-162
[i9]
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  - journals/corr/abs-2302-12552
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Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu:
Deep Learning for Video-Text Retrieval: a Review. CoRR abs/2302.12552 (2023)
[i8]
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  - journals/corr/abs-2312-13575
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Peng Zhao, Jiehua Zhang, Bowen Peng, Longguang Wang, Yingmei Wei, Yu Liu, Li Liu:
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks. CoRR abs/2312.13575 (2023)
2022
[j15]
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Wei Chen, Yu Liu, Nan Pu, Weiping Wang, Li Liu, Michael S. Lew:
Feature Estimations Based Correlation Distillation for Incremental Image Retrieval. IEEE Trans. Multim. 24: 1844-1856 (2022)
[c26]
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Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo:
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way. CVPR 2022: 4703-4712
[c25]
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Nan Pu, Yu Liu, Wei Chen, Erwin M. Bakker, Michael S. Lew:
Meta Reconciliation Normalization for Lifelong Person Re-Identification. ACM Multimedia 2022: 541-549
2021
[j14]
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Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew:
Multi-stage hybrid embedding fusion network for visual question answering. Neurocomputing 423: 541-550 (2021)
[j13]
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Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Integrating information theory and adversarial learning for cross-modal retrieval. Pattern Recognit. 117: 107983 (2021)
[c24]
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Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. CVPR 2021: 7901-7910
[c23]
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Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew:
A Language Prior Based Focal Loss for Visual Question Answering. ICME 2021: 1-6
[c22]
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Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew:
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering. ACM Multimedia 2021: 3370-3379
[c21]
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Lihao Jiang, Yi Wang, Qi Jia, Shengwei Xu, Yu Liu, Xin Fan, Haojie Li, Risheng Liu, Xinwei Xue, Ruili Wang:
Underwater Species Detection using Channel Sharpening Attention. ACM Multimedia 2021: 4259-4267
[i7]
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  - journals/corr/abs-2101-11282
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Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew:
Deep Image Retrieval: A Survey. CoRR abs/2101.11282 (2021)
[i6]
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  - journals/corr/abs-2103-12462
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Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. CoRR abs/2103.12462 (2021)
[i5]
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  - journals/corr/abs-2104-04991
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Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval. CoRR abs/2104.04991 (2021)
2020
[j12]
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Theodoros Georgiou, Yu Liu, Wei Chen, Michael S. Lew:
A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision. Int. J. Multim. Inf. Retr. 9(3): 135-170 (2020)
[j11]
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Yu Liu, Tinne Tuytelaars:
A Deep Multi-Modal Explanation Model for Zero-Shot Learning. IEEE Trans. Image Process. 29: 4788-4803 (2020)
[c20]
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Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew:
On the Exploration of Incremental Learning for Fine-grained Image Retrieval. BMVC 2020
[c19]
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Yu Liu, Tinne Tuytelaars:
A Novel Baseline for Zero-shot Learning via Adversarial Visual-Semantic Embedding. BMVC 2020
[c18]
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  - conf/eccv/DeruyttereVGLGB20
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Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens:
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. ECCV Workshops (2) 2020: 3-26
[c17]
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Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars:
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning. ECCV (26) 2020: 699-716
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Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. ACM Multimedia 2020: 2149-2158
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  - journals/corr/abs-2008-02520
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Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification. CoRR abs/2008.02520 (2020)
[i3]
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  - journals/corr/abs-2009-08792
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Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens:
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. CoRR abs/2009.08792 (2020)
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Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew:
On the Exploration of Incremental Learning for Fine-grained Image Retrieval. CoRR abs/2010.08020 (2020)

2010 – 2019

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2019
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Yu Liu, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew:
CycleMatch: A cycle-consistent embedding network for image-text matching. Pattern Recognit. 93: 365-379 (2019)
[j9]
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Yu Liu, Wei Chen, Li Liu, Michael S. Lew:
SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer. IEEE Trans. Multim. 21(9): 2209-2222 (2019)
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  - conf/hsi/Shan0S19
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Hongchang Shan, Yu Liu, Todor P. Stefanov:
An Empirical Study on Sensor-aware Design of Convolutional Neural Networks for P300 Speller in Brain Computer Interface. HSI 2019: 5-11
[c14]
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Hongchang Shan, Yu Liu, Todor P. Stefanov:
Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface. ICANN (4) 2019: 376-394
[c13]
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  - conf/icmcs/ChenPLBL19
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Wei Chen, Nan Pu, Yu Liu, Erwin M. Bakker, Michael S. Lew:
Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval. ICME 2019: 43-48
2018
[j8]
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Yanming Guo, Yu Liu, Theodoros Georgiou, Michael S. Lew:
A review of semantic segmentation using deep neural networks. Int. J. Multim. Inf. Retr. 7(2): 87-93 (2018)
[j7]
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Yanming Guo, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew:
CNN-RNN: a large-scale hierarchical image classification framework. Multim. Tools Appl. 77(8): 10251-10271 (2018)
[j6]
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Yu Liu, Yanming Guo, Theodoros Georgiou, Michael S. Lew:
Fusion that matters: convolutional fusion networks for visual recognition. Multim. Tools Appl. 77(22): 29407-29434 (2018)
[j5]
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Yu Liu, Li Liu, Yanming Guo, Michael S. Lew:
Learning visual and textual representations for multimodal matching and classification. Pattern Recognit. 84: 51-67 (2018)
[j4]
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Yanming Guo, Yu Liu, Songyang Lao, Erwin M. Bakker, Liang Bai, Michael S. Lew:
Bag of Surrogate Parts Feature for Visual Recognition. IEEE Trans. Multim. 20(6): 1525-1536 (2018)
[c12]
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Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew:
A Dual Prediction Network for Image Captioning. ICME 2018: 1-6
[c11]
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Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew:
An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation. ICPR 2018: 219-224
[c10]
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Hongchang Shan, Yu Liu, Todor P. Stefanov:
A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface. IJCAI 2018: 1604-1610
[c9]
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Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew:
Learning Fluid Flows. IJCNN 2018: 1-8
2017
[c8]
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Yu Liu, Yanming Guo, Erwin M. Bakker, Michael S. Lew:
Learning a Recurrent Residual Fusion Network for Multimodal Matching. ICCV 2017: 4127-4136
[c7]
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Yu Liu, Michael S. Lew:
Improving the discrimination between foreground and background for semantic segmentation. ICIP 2017: 1272-1276
[c6]
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Yu Liu, Yanming Guo, Michael S. Lew:
On the Exploration of Convolutional Fusion Networks for Visual Recognition. MMM (1) 2017: 277-289
[c5]
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Yu Liu, Yanming Guo, Michael S. Lew:
What Convnets Make for Image Captioning? MMM (1) 2017: 416-428
2016
[j3]
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Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew:
Deep learning for visual understanding: A review. Neurocomputing 187: 27-48 (2016)
[j2]
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Qi Jia, Xin Fan, Yu Liu, Haojie Li, Zhongxuan Luo, He Guo:
Hierarchical projective invariant contexts for shape recognition. Pattern Recognit. 52: 358-374 (2016)
[c4]
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Yu Liu, Michael S. Lew:
Learning Relaxed Deep Supervision for Better Edge Detection. CVPR 2016: 231-240
[i1]
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Yu Liu, Yanming Guo, Michael S. Lew:
On the Exploration of Convolutional Fusion Networks for Visual Recognition. CoRR abs/1611.05503 (2016)
2015
[c3]
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Yu Liu, Yanming Guo, Song Wu, Michael S. Lew:
DeepIndex for Accurate and Efficient Image Retrieval. ICMR 2015: 43-50
[c2]
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Yanming Guo, Songyang Lao, Yu Liu, Liang Bai, Shi Liu, Michael S. Lew:
Convolutional Neural Networks Features: Principal Pyramidal Convolution. PCM (1) 2015: 245-253
2014
[j1]
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Qi Jia, Xin Fan, Zhongxuan Luo, Yu Liu, He Guo:
A new geometric descriptor for symbols with affine deformations. Pattern Recognit. Lett. 40: 128-135 (2014)
2013
[c1]
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Yu Liu, Qi Jia, He Guo, Xin Fan:
A shape matching framework using metric partition constraint. ICIP 2013: 3494-3498

Coauthor Index

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