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ORCIDYu Liu 0012
Person information
- 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
- Yu Liu — disambiguation page
- Yu Liu 0001
![[0000-0002-7957-2487]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7957-2487")
— 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
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2020 – today
- 2024
[j21]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)- 2023
- [j20]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]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]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]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]Yu Liu, Tinne Tuytelaars:
Residual Tuning: Toward Novel Category Discovery Without Labels. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7271-7285 (2023) - [c29]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 - [c28]Qi Jia, Xiaomei Feng, Yu Liu, Xin Fan, Longin Jan Latecki:
Learning Pixel-wise Alignment for Unsupervised Image Stitching. ACM Multimedia 2023: 1392-1400 - [c27]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 - [i9]Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu:
Deep Learning for Video-Text Retrieval: a Review. CoRR abs/2302.12552 (2023) - [i8]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]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]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]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]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]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]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]Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew:
A Language Prior Based Focal Loss for Visual Question Answering. ICME 2021: 1-6 - [c22]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]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]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]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]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]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]Yu Liu, Tinne Tuytelaars:
A Deep Multi-Modal Explanation Model for Zero-Shot Learning. IEEE Trans. Image Process. 29: 4788-4803 (2020) - [c20]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]Yu Liu, Tinne Tuytelaars:
A Novel Baseline for Zero-shot Learning via Adversarial Visual-Semantic Embedding. BMVC 2020 - [c18]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]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 - [c16]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 - [i4]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]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) - [i2]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
- 2019
- [j10]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]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) - [c15]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]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]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]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]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]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]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]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]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]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]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]Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew:
Learning Fluid Flows. IJCNN 2018: 1-8 - 2017
- [c8]Yu Liu, Yanming Guo, Erwin M. Bakker, Michael S. Lew:
Learning a Recurrent Residual Fusion Network for Multimodal Matching. ICCV 2017: 4127-4136 - [c7]Yu Liu, Michael S. Lew:
Improving the discrimination between foreground and background for semantic segmentation. ICIP 2017: 1272-1276 - [c6]Yu Liu, Yanming Guo, Michael S. Lew:
On the Exploration of Convolutional Fusion Networks for Visual Recognition. MMM (1) 2017: 277-289 - [c5]Yu Liu, Yanming Guo, Michael S. Lew:
What Convnets Make for Image Captioning? MMM (1) 2017: 416-428 - 2016
- [j3]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]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]Yu Liu, Michael S. Lew:
Learning Relaxed Deep Supervision for Better Edge Detection. CVPR 2016: 231-240 - [i1]Yu Liu, Yanming Guo, Michael S. Lew:
On the Exploration of Convolutional Fusion Networks for Visual Recognition. CoRR abs/1611.05503 (2016) - 2015
- [c3]Yu Liu, Yanming Guo, Song Wu, Michael S. Lew:
DeepIndex for Accurate and Efficient Image Retrieval. ICMR 2015: 43-50 - [c2]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]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]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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last updated on 2024-07-26 18:46 CEST by the dblp team
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