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Cheng-Lin Liu
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2020 – today
- 2023
[j170]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Guest Editorial: Special Issue on Advances in Computer Vision and Applications (ACCV 2020). Int. J. Comput. Vis. 131(2): 406 (2023)- [j169]Rui-Qi Wang, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Training with scaled logits to alleviate class-level over-fitting in few-shot learning. Neurocomputing 522: 142-151 (2023) - [j168]Xue Chen, Yi Huang, Liang Jiang, Qing Sun, Yuan Tian, Zhixiong Zhou, Jun Yin, Yan Gao, Chenglin Liu, Bo Huo
:
Bilateral upper extremity trunk model for cross-country sit-skiing double poling propulsion: model development and validation. Medical Biol. Eng. Comput. 61(2): 445-455 (2023) - [j167]Xu-Yao Zhang, Guo-Sen Xie, Xiuli Li, Tao Mei, Cheng-Lin Liu:
A Survey on Learning to Reject. Proc. IEEE 111(2): 185-215 (2023) - [j166]Ming-Liang Zhang, Xu-Yao Zhang, Chuang Wang, Cheng-Lin Liu:
Towards prior gap and representation gap for long-tailed recognition. Pattern Recognit. 133: 109012 (2023) - [j165]Chang Liu, Chun Yang, Haibo Qin, Xiaobin Zhu, Cheng-Lin Liu, Xu-Cheng Yin:
Towards open-set text recognition via label-to-prototype learning. Pattern Recognit. 134: 109109 (2023) - [i27]Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu:
A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. CoRR abs/2302.11097 (2023) - [i26]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection. CoRR abs/2303.01201 (2023) - [i25]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. CoRR abs/2303.02970 (2023) - [i24]Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Dynamic-Aware Loss for Learning with Label Noise. CoRR abs/2303.11562 (2023) - 2022
- [j164]Bin Luo, Jin Tang, Cheng-Lin Liu:
Editorial: Special Issue on Recent Advances in Cognitive Learning and Data Analysis. Cogn. Comput. 14(3): 1080-1081 (2022) - [j163]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss. Cogn. Comput. 14(6): 2246-2259 (2022) - [j162]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Qing Yang, Cheng-Lin Liu:
Convolutional Prototype Network for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2358-2370 (2022) - [j161]Tie-Qiang Wang, Xiaoyi Jiang, Cheng-Lin Liu:
Query Pixel Guided Stroke Extraction with Model-Based Matching for Offline Handwritten Chinese Characters. Pattern Recognit. 123: 108416 (2022) - [j160]Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu:
Cross-modal prototype learning for zero-shot handwritten character recognition. Pattern Recognit. 131: 108859 (2022) - [j159]Xiao-Hui Li, Fei Yin, He-Sen Dai, Cheng-Lin Liu:
Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing. Pattern Recognit. 132: 108946 (2022) - [j158]Ayan Banerjee, Palaiahnakote Shivakumara, Umapada Pal, Ramachandra Raghavendra, Cheng-Lin Liu:
A comprehensive scheme for tattoo text detection. Pattern Recognit. Lett. 163: 168-179 (2022) - [j157]He Li, Cheng-Lin Liu, Ya Zhang, Yang-Yang Chen:
Corrections to "Practical Fixed-Time Consensus Tracking for Multiple Euler-Lagrange Systems With Stochastic Packet Losses and Input/Output Constraints". IEEE Syst. J. 16(1): 1709 (2022) - [j156]He Li, Cheng-Lin Liu, Ya Zhang, Yang-Yang Chen:
Practical Fixed-Time Consensus Tracking for Multiple Euler-Lagrange Systems With Stochastic Packet Losses and Input/Output Constraints. IEEE Syst. J. 16(4): 6185-6196 (2022) - [j155]Xiang Li, Yuchen Jiang, Chenglin Liu, Shaochong Liu, Hao Luo, Shen Yin:
Playing Against Deep-Neural-Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach. IEEE Trans. Artif. Intell. 3(1): 20-28 (2022) - [j154]Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Decision-Based Adversarial Attack With Frequency Mixup. IEEE Trans. Inf. Forensics Secur. 17: 1038-1052 (2022) - [j153]Yu-Ling Li, Cheng-Lin Liu, Ya Zhang, Yang-Yang Chen:
Distributed fixed-time average-tracking for multi-agent systems with mismatched and matched disturbances. Trans. Inst. Meas. Control 44(12): 2323-2335 (2022) - [j152]Mei Wang, Weihong Deng, Cheng-Lin Liu:
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. IEEE Trans. Image Process. 31: 3137-3150 (2022) - [j151]Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm. IEEE Trans. Image Process. 31: 5513-5528 (2022) - [j150]Xiao-Long Yun, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu:
Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams. IEEE Trans. Multim. 24: 2580-2594 (2022) - [j149]Ting-Bing Xu, Cheng-Lin Liu:
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance. IEEE Trans. Neural Networks Learn. Syst. 33(1): 257-269 (2022) - [j148]Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6990-6996 (2022) - [j147]Yang-Yang Chen, Xiang Ai, Jiandong Zhu, Ya Zhang, Cheng-Lin Liu:
Spherical Orbit Tracking and Formation Flying for Nonholonomic Aircraft-Like Vehicles With Directed Interactions and Unknown Disturbances. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5362-5367 (2022) - [c273]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. ECCV (25) 2022: 518-536 - [c272]Yuan-Jun Yu, Cheng-Lin Liu:
Practical Fixed-time Distributed Average-tracking for Second-order Multiagent Systems. ICARCV 2022: 808-813 - [c271]He Li, Cheng-Lin Liu, Ya Zhang, Yang-Yang Chen:
Adaptive Fixed-time Bipartite Consensus Tracking for Multiple Euler-Lagrange Systems Under Asymmetric Input Constraint. ICCA 2022: 642-647 - [c270]Aritro Pal Choudhury, Palaiahnakote Shivakumara, Umapada Pal, Cheng-Lin Liu:
EAU-Net: A New Edge-Attention Based U-Net for Nationality Identification. ICFHR 2022: 137-152 - [c269]Ming-Ming Yu, Heng Zhang, Fei Yin, Cheng-Lin Liu:
An Efficient Prototype-Based Model for Handwritten Text Recognition with Multi-loss Fusion. ICFHR 2022: 404-418 - [c268]Hong-Yu Guo, Chuang Wang, Fei Yin, Heng-Ye Liu, Jin-Wen Wu, Cheng-Lin Liu:
Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition. ICPR 2022: 847-854 - [c267]Longfei Ding, Mengbiao Zhao, Fei Yin, Shuiling Zeng, Cheng-Lin Liu:
A Large-Scale Database for Chemical Structure Recognition and Preliminary Evaluation. ICPR 2022: 1464-1470 - [c266]Amish Kumar, Palaiahnakote Shivakumara, Pinaki Nath Chowdhury, Umapada Pal, Cheng-Lin Liu:
DPAM: A New Deep Parallel Attention Model for Multiple License Plate Number Recognition. ICPR 2022: 1485-1491 - [c265]Zhen Xu, Fei Yin, Peipei Yang, Cheng-Lin Liu:
Document Image Rectification in Complex Scene Using Stacked Siamese Networks. ICPR 2022: 1550-1556 - [c264]Kunal Biswas, Palaiahnakote Shivakumara, Sittravell Sivanthi, Umapada Pal, Yue Lu, Cheng-Lin Liu, Mohamad Nizam Bin Ayub:
A New Deep Fuzzy Based MSER Model for Multiple Document Images Classification. ICPRAI (1) 2022: 358-370 - [c263]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification. ICPRAI (2) 2022: 467-479 - [c262]Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu:
Plane Geometry Diagram Parsing. IJCAI 2022: 1636-1643 - [c261]ZhongShuai Qin, Yanyong Su, Ruiran Liu, Chenglin Liu:
Codebook Optimization Design of Serial Encoding SCMA System. ISNCC 2022: 1-4 - [i23]Yuqi Wang, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang:
Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks. CoRR abs/2201.05489 (2022) - [i22]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Document Dewarping with Control Points. CoRR abs/2203.10543 (2022) - [i21]Mei Wang, Weihong Deng, Cheng-Lin Liu:
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. CoRR abs/2205.06549 (2022) - [i20]Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu:
Plane Geometry Diagram Parsing. CoRR abs/2205.09363 (2022) - [i19]Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu:
Replacing Backpropagation with Biological Plausible Top-down Credit Assignment in Deep Neural Networks Training. CoRR abs/2208.01416 (2022) - 2021
- [j146]Mingyang Huang, Chenglin Liu, Liang Shan:
Containment Control of First-Order Multi-Agent Systems under PI Coordination Protocol. Algorithms 14(7): 209 (2021) - [j145]Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo:
Editorial: Special Issue on Recent Advances in Cognitive Learning and Data Analysis. Cogn. Comput. 13(4): 785-786 (2021) - [j144]Wei Feng, Fei Yin, Xu-Yao Zhang, Wenhao He, Cheng-Lin Liu:
Residual Dual Scale Scene Text Spotting by Fusing Bottom-Up and Top-Down Processing. Int. J. Comput. Vis. 129(3): 619-637 (2021) - [j143]Cong Wang, Cheng-Lin Liu:
Multi-branch guided attention network for irregular text recognition. Neurocomputing 425: 278-289 (2021) - [j142]Cheng-Lin Liu, He Li, Liang Shan:
Stationary average-tracking problem of unmatched constant reference signals based on delayed-state feedback. Int. J. Syst. Sci. 52(13): 2725-2734 (2021) - [j141]Chenglin Liu, Xiaohua Wang, Qiang Zhang, Dongliang Chen, Juncai Dong:
Studies on Location of Acupoints with X-ray Fluorescence Analysis Based on Synchrotron Radiation. J. Medical Imaging Health Informatics 11(8): 2178-2183 (2021) - [j140]Zhao Zhong, Zichen Yang, Boyang Deng, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu:
BlockQNN: Efficient Block-Wise Neural Network Architecture Generation. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2314-2328 (2021) - [j139]Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu:
Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks. Pattern Recognit. 114: 107859 (2021) - [j138]Zhiqiang Chen, Ting-Bing Xu, Weijian Liao, Zhengcheng Li, Jinpeng Li, Cheng-Lin Liu, Huiguang He:
SNAP: Shaping neural architectures progressively via information density criterion. Pattern Recognit. 116: 107923 (2021) - [j137]Tanmay Jain, Shivakumara Palaiahnakote, Umapada Pal, Cheng-Lin Liu:
Deformable scene text detection using harmonic features and modified pixel aggregation network. Pattern Recognit. Lett. 152: 135-142 (2021) - [j136]Yu Shang, Cheng-Lin Liu, Ke-Cai Cao:
Event-triggered consensus control of second-order nonlinear multi-agent systems under denial-of-service attacks. Trans. Inst. Meas. Control 43(10) (2021) - [j135]Zhiqiang Chen, Ting-Bing Xu, Changde Du, Cheng-Lin Liu, Huiguang He:
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(2): 799-813 (2021) - [c260]Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition. AAAI 2021: 2925-2933 - [c259]Hao-Ru Tan, Chuang Wang, Si-Tong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Proxy Graph Matching with Proximal Matching Networks. AAAI 2021: 9808-9815 - [c258]Zhan Zhang, Yun-Tian Wang, Bang Li, An Guo, Cheng-Lin Liu:
Deep Rejoining Model for Oracle Bone Fragment Image. ACPR (2) 2021: 3-15 - [c257]Yu-Ting Yang, Yan-Ming Zhang, Xiao-Long Yun, Fei Yin, Cheng-Lin Liu:
CASIA-onDo: A New Database for Online Handwritten Document Analysis. ACPR (2) 2021: 174-188 - [c256]Ayan Banerjee, Palaiahnakote Shivakumara, Soumyajit Pal, Umapada Pal, Cheng-Lin Liu:
DCT-DWT-FFT Based Method for Text Detection in Underwater Images. ACPR (2) 2021: 218-233 - [c255]Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Semantic-Aware Video Text Detection. CVPR 2021: 1695-1705 - [c254]Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu:
Prototype Augmentation and Self-Supervision for Incremental Learning. CVPR 2021: 5871-5880 - [c253]Shenglan Chu, Mengyao Liu, Bowen Wang, Huan Zhao, Chenglin Liu, Jiayi Guo, Bin Zhao:
Dynamics analysis and countermeasures of covid-19 epidemic. ICAIIS 2021: 127:1-127:8 - [c252]Yichi Li, Shenglan Chu, Huan Zhao, Fumei Rong, Chenglin Liu, Suling Zhao, Zhen Wang, Zhouqiang Xiong:
Rapid Prediction and Evaluation of COVID-19 Epidemic in the United States Based on Feature Selection and Improved ARIMAX Model. ICAIIS 2021: 299:1-299:8 - [c251]Xiao-Hui Li, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Adaptive Scaling for Archival Table Structure Recognition. ICDAR (1) 2021: 80-95 - [c250]Likun Gao, Heng Zhang, Cheng-Lin Liu:
Handwritten Text Recognition with Convolutional Prototype Network and Most Aligned Frame Based CTC Training. ICDAR (1) 2021: 205-220 - [c249]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Document Dewarping with Control Points. ICDAR (1) 2021: 466-480 - [c248]Shi Yan, Jin-Wen Wu, Fei Yin, Cheng-Lin Liu:
Recognizing Handwritten Chinese Texts with Insertion and Swapping Using a Structural Attention Network. ICDAR (4) 2021: 557-571 - [c247]Tie-Qiang Wang, Cheng-Lin Liu:
Handwriting Trajectory Recovery from Off-Line Multi-Stroke Characters by Deep Ordering Prediction and Heuristic Search. ICME 2021: 1-6 - [c246]Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu:
GSS: Graph-Based Subspace Learning with Shots Initialization for few-shot Recognition. ICME 2021: 1-6 - [c245]Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Class Forge: Boosting Feature Encoder for Few-Shot Learning with Synthesized Classes. ICME 2021: 1-6 - [c244]Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Calibration for Non-Exemplar Based Class-Incremental Learning. ICME 2021: 1-6 - [c243]Yongyu Xiong, Peipei Yang, Cheng-Lin Liu:
One-Stage Open Set Object Detection with Prototype Learning. ICONIP (1) 2021: 279-291 - [c242]Likun Gao, Heng Zhang, Cheng-Lin Liu:
Regularizing CTC in Expectation-Maximization Framework with Application to Handwritten Text Recognition. IJCNN 2021: 1-7 - [c241]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss. MICCAI (5) 2021: 185-194 - [c240]Deli Yu, Peipei Yang, Cheng-Lin Liu:
Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression. MIPR 2021: 42-48 - [c239]Yunfei Guo, Wei Feng, Fei Yin, Tao Xue, Shuqi Mei, Cheng-Lin Liu:
Learning to Understand Traffic Signs. ACM Multimedia 2021: 2076-2084 - [c238]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Chenglin Liu:
Class-Incremental Learning via Dual Augmentation. NeurIPS 2021: 14306-14318 - [c237]Yanbo Wang, Chenglin Liu:
Dynamic Integral Sliding Mode for Vehicle Platoon Control with Constant Time Headway Policy. ROBIO 2021: 1479-1484 - [e20]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12622, Springer 2021, ISBN 978-3-030-69524-8 [contents] - [e19]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12623, Springer 2021, ISBN 978-3-030-69531-6 [contents] - [e18]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III. Lecture Notes in Computer Science 12624, Springer 2021, ISBN 978-3-030-69534-7 [contents] - [e17]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 12625, Springer 2021, ISBN 978-3-030-69537-8 [contents] - [e16]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part V. Lecture Notes in Computer Science 12626, Springer 2021, ISBN 978-3-030-69540-8 [contents] - [e15]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part VI. Lecture Notes in Computer Science 12627, Springer 2021, ISBN 978-3-030-69543-9 [contents] - [i18]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network. CoRR abs/2104.06815 (2021) - 2020
- [j134]Yunxue Shao, Cheng-Lin Liu:
Teaching machines to write like humans using L-attributed grammar. Eng. Appl. Artif. Intell. 90: 103489 (2020) - [j133]Yangyang Chen, Rui Yu, Ya Zhang, Chenglin Liu:
Circular formation flight control for unmanned aerial vehicles with directed network and external disturbance. IEEE CAA J. Autom. Sinica 7(2): 505-516 (2020) - [j132]Cheng-Lin Liu, Shuai Liu, Ya Zhang, Yang-Yang Chen:
Consensus seeking of multi-agent systems with intermittent communication: a persistent-hold control strategy. Int. J. Control 93(9): 2161-2167 (2020) - [j131]Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Handwritten Mathematical Expression Recognition via Paired Adversarial Learning. Int. J. Comput. Vis. 128(10): 2386-2401 (2020) - [j130]Chee-Kheng Ch'ng, Chee Seng Chan, Cheng-Lin Liu:
Total-Text: toward orientation robustness in scene text detection. Int. J. Document Anal. Recognit. 23(1): 31-52 (2020) - [j129]Wujiahemaiti Simayi, Mayire Ibrahim, Xu-Yao Zhang, Cheng-Lin Liu, Askar Hamdulla:
A benchmark for unconstrained online handwritten Uyghur word recognition. Int. J. Document Anal. Recognit. 23(3): 205-218 (2020) - [j128]Guoqiang Zhong, Tao Li, Wencong Jiao, Li-Na Wang, Junyu Dong, Cheng-Lin Liu:
DNA computing inspired deep networks design. Neurocomputing 382: 140-147 (2020) - [j127]Yuan-Yuan Shen, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Online semi-supervised learning with learning vector quantization. Neurocomputing 399: 467-478 (2020) - [j126]Zhengya Sun, Cheng-Lin Liu, Jinghao Niu, Wensheng Zhang:
Discriminative structure learning of sum-product networks for data stream classification. Neural Networks 123: 163-175 (2020) - [j125]Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen:
Towards Robust Pattern Recognition: A Review. Proc. IEEE 108(6): 894-922 (2020) - [j124]Wenhao He, Xu-Yao Zhang, Fei Yin, Zhenbo Luo, Jean-Marc Ogier, Cheng-Lin Liu:
Realtime multi-scale scene text detection with scale-based region proposal network. Pattern Recognit. 98 (2020) - [j123]Zhuo Chen, Fei Yin, Xu-Yao Zhang, Qing Yang, Cheng-Lin Liu:
MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition. Pattern Recognit. 108: 107555 (2020) - [j122]Pasquale Foggia, Mario Vento, Cheng-Lin Liu:
Special issue on "Applications of graph-based techniques to pattern recognition". Pattern Recognit. Lett. 134: 1-2 (2020) - [j121]Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu:
Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks. SN Comput. Sci. 1(3): 163 (2020) - [j120]Cheng-Lin Liu, Liang Shan, Ya Zhang, Yang-Yang Chen, Jun Li:
Hierarchical Average-Tracking Algorithm for Multiagent Systems With Unmatched Constant References Signals. IEEE Trans. Circuits Syst. 67-II(11): 2642-2646 (2020) - [j119]Jinpeng Li, Shuang Qiu, Yuan-Yuan Shen, Cheng-Lin Liu, Huiguang He:
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition. IEEE Trans. Cybern. 50(7): 3281-3293 (2020) - [c236]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Dewarping Document Image by Displacement Flow Estimation with Fully Convolutional Network. DAS 2020: 131-144 - [c235]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Page Segmentation Using Convolutional Neural Network and Graphical Model. DAS 2020: 231-245 - [c234]Zhe-Yang Zhu, Cheng-Lin Liu:
A Novel Method Combining Leader-Following Control and Reinforcement Learning for Pursuit Evasion Games of Multi-Agent Systems. ICARCV 2020: 166-171 - [c233]Ming-Chao Xu, Fei Yin, Cheng-Lin Liu:
SRR-GAN: Super-Resolution based Recognition with GAN for Low-Resolved Text Images. ICFHR 2020: 1-6 - [c232]Zhen-Xing Wang, Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Weakly Supervised Learning for Over-Segmentation Based Handwritten Chinese Text Recognition. ICFHR 2020: 157-162 - [c231]Da-Han Wang, Fei Yin, Jin-Wen Wu, Yu-Pei Yan, Zhi-Cai Huang, Gui-Yun Chen, Yao Wang, Cheng-Lin Liu:
ICFHR 2020 Competition on Offline Recognition and Spotting of Handwritten Mathematical Expressions - OffRaSHME. ICFHR 2020: 211-215 - [c230]Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
F-mixup: Attack CNNs From Fourier Perspective. ICPR 2020: 541-548 - [c229]