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2020 – today
- 2022
[j152]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)- [j151]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) - [j150]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) - [j149]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) - [j148]Mei Wang, Weihong Deng, Cheng-Lin Liu:
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. IEEE Trans. Image Process. 31: 3137-3150 (2022) - [j147]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) - [j146]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) - [i21]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) - [i20]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Document Dewarping with Control Points. CoRR abs/2203.10543 (2022) - [i19]Mei Wang, Weihong Deng, Cheng-Lin Liu:
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. CoRR abs/2205.06549 (2022) - 2021
- [j145]Mingyang Huang, Chenglin Liu, Liang Shan:
Containment Control of First-Order Multi-Agent Systems under PI Coordination Protocol. Algorithms 14(7): 209 (2021) - [j144]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) - [j143]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) - [j142]Cong Wang, Cheng-Lin Liu:
Multi-branch guided attention network for irregular text recognition. Neurocomputing 425: 278-289 (2021) - [j141]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) - [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) - [c258]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 - [c257]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 - [c256]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 - [c255]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 - [c254]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 - [c253]Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Semantic-Aware Video Text Detection. CVPR 2021: 1695-1705 - [c252]Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu:
Prototype Augmentation and Self-Supervision for Incremental Learning. CVPR 2021: 5871-5880 - [c251]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 - [c250]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 - [c249]Xiao-Hui Li, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Adaptive Scaling for Archival Table Structure Recognition. ICDAR (1) 2021: 80-95 - [c248]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 - [c247]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Document Dewarping with Control Points. ICDAR (1) 2021: 466-480 - [c246]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 - [c245]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 - [c244]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 - [c243]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 - [c242]Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Calibration for Non-Exemplar Based Class-Incremental Learning. ICME 2021: 1-6 - [c241]Yongyu Xiong, Peipei Yang, Cheng-Lin Liu:
One-Stage Open Set Object Detection with Prototype Learning. ICONIP (1) 2021: 279-291 - [c240]Likun Gao, Heng Zhang, Cheng-Lin Liu:
Regularizing CTC in Expectation-Maximization Framework with Application to Handwritten Text Recognition. IJCNN 2021: 1-7 - [c239]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 - [c238]Deli Yu, Peipei Yang, Cheng-Lin Liu:
Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression. MIPR 2021: 42-48 - [c237]Yunfei Guo, Wei Feng, Fei Yin, Tao Xue, Shuqi Mei, Cheng-Lin Liu:
Learning to Understand Traffic Signs. ACM Multimedia 2021: 2076-2084 - [c236]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Chenglin Liu:
Class-Incremental Learning via Dual Augmentation. NeurIPS 2021: 14306-14318 - [c235]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) - [c234]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 - [c233]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Page Segmentation Using Convolutional Neural Network and Graphical Model. DAS 2020: 231-245 - [c232]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 - [c231]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 - [c230]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 - [c229]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 - [c228]Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
F-mixup: Attack CNNs From Fourier Perspective. ICPR 2020: 541-548 - [c227]Zhuo Chen, Fei Yin, Xu-Yao Zhang, Qing Yang, Cheng-Lin Liu:
Cross-Lingual Text Image Recognition via Multi-Task Sequence to Sequence Learning. ICPR 2020: 3122-3129 - [c226]Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Mutually Guided Dual-Task Network for Scene Text Detection. ICPR 2020: 6928-6934 - [c225]Cong Wang, Cheng-Lin Liu:
Scene Text Recognition by Attention Network with Gated Embedding. IJCNN 2020: 1-8 - [c224]Ying Liu, Heng Zhang, Xiao-Long Yun, Jun-Yu Ye, Cheng-Lin Liu:
Table detection and cell segmentation in online handwritten documents with graph attention networks. MMAsia 2020: 42:1-42:6 - [e14]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision, Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12305, Springer 2020, ISBN 978-3-030-60632-9 [contents] - [e13]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12306, Springer 2020, ISBN 978-3-030-60638-1 [contents] - [e12]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12307, Springer 2020, ISBN 978-3-030-60635-0 [contents] - [i17]Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen:
Towards Robust Pattern Recognition: A Review. CoRR abs/2006.06976 (2020) - [i16]Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm. CoRR abs/2012.00424 (2020)
2010 – 2019
- 2019
- [j118]Zhao Zhong, Zichen Yang, Weitao Feng, Wei Wu, Yangyang Hu, Cheng-Lin Liu:
Decision Controller for Object Tracking With Deep Reinforcement Learning. IEEE Access 7: 28069-28079 (2019) - [j117]Chenglin Liu, Jianqiang Wang, Wenjuan Cai, Yuzhao Zhang:
An Energy-Efficient Dynamic Route Optimization Algorithm for Connected and Automated Vehicles Using Velocity-Space-Time Networks. IEEE Access 7: 108866-108877 (2019) - [j116]Yu-Juan Luo, Cheng-Lin Liu, Guang-Ye Liu:
Consensus Tracking by Iterative Learning Control for Linear Heterogeneous Multiagent Systems Based on Fractional-Power Error Signals. Algorithms 12(9): 185 (2019) - [j115]Min Zheng, Cheng-Lin Liu, Fei Liu:
Average-Consensus Tracking of Sensor Network via Distributed Coordination Control of Heterogeneous Multi-Agent Systems. IEEE Control. Syst. Lett. 3(1): 132-137 (2019) - [j114]Cheng-Lin Liu, Andreas Dengel, Rafael Dueire Lins:
Editorial for special issue on "Advanced Topics in Document Analysis and Recognition". Int. J. Document Anal. Recognit. 22(3): 189-191 (2019) - [j113]Zhi-Yong Liu, Kaizhu Huang, Xu Yang, Cheng-Lin Liu:
Special issue on advances in graph algorithm and applications. Neurocomputing 336: 1-2 (2019) - [j112]Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu:
LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation. Pattern Recognit. 88: 272-284 (2019) - [j111]Haiqing Ren, Weiqiang Wang, Chenglin Liu:
Recognizing online handwritten Chinese characters using RNNs with new computing architectures. Pattern Recognit. 93: 179-192 (2019) - [j110]Hanyang Peng, Cheng-Lin Liu:
Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss. IEEE Trans. Neural Networks Learn. Syst. 30(3): 788-802 (2019) - [c223]Ting-Bing Xu, Cheng-Lin Liu:
Data-Distortion Guided Self-Distillation for Deep Neural Networks. AAAI 2019: 5565-5572 - [c222]Shi Yan, Wei Feng, Peng Zhao, Cheng-Lin Liu:
Progressive Scale Expansion Network with Octave Convolution for Arbitrary Shape Scene Text Detection. ACPR (1) 2019: 663-676 - [c221]Yuan-Xing Zhao, Yan-Ming Zhang, Cheng-Lin Liu:
Bag of Tricks for 3D MRI Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 210-220 - [c220]Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim:
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation. CVPR 2019: 6449-6458 - [c219]Wei Feng, Wenhao He, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting. ICCV 2019: 9075-9084 - [c218]Yi-Kang Zhang, Heng Zhang, Yong-Ge Liu, Qing Yang, Cheng-Lin Liu:
Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric Learning. ICDAR 2019: 309-314 - [c217]Xiaohui Li, Fei Yin, Tao Xue, Long Liu, Jean-Marc Ogier, Cheng-Lin Liu:
Instance Aware Document Image Segmentation using Label Pyramid Networks and Deep Watershed Transformation. ICDAR 2019: 514-519 - [c216]Xiang Ao, Xu-Yao Zhang, Hong-Ming Yang, Fei Yin, Cheng-Lin Liu:
Cross-Modal Prototype Learning for Zero-Shot Handwriting Recognition. ICDAR 2019: 589-594 - [c215]Vinh Loc Cu, Jean-Christophe Burie, Jean-Marc Ogier, Cheng-Lin Liu:
A Robust Data Hiding Scheme Using Generated Content for Securing Genuine Documents. ICDAR 2019: 787-792 - [c214]Yue Xu, Fei Yin, Da-Han Wang, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu:
CASIA-AHCDB: A Large-Scale Chinese Ancient Handwritten Characters Database. ICDAR 2019: 793-798 - [c213]Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu:
Contextual Stroke Classification in Online Handwritten Documents with Graph Attention Networks. ICDAR 2019: 993-998 - [c212]Vinh Loc Cu, Jean-Christophe Burie, Jean-Marc Ogier, Cheng-Lin Liu:
Hiding Security Feature Into Text Content for Securing Documents Using Generated Font. ICDAR 2019: 1214-1219 - [c211]Nibal Nayef, Cheng-Lin Liu, Jean-Marc Ogier, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie:
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. ICDAR 2019: 1582-1587 - [c210]Xiao-Long Yun, Yan-Ming Zhang, Jun-Yu Ye, Cheng-Lin Liu:
Online Handwritten Diagram Recognition with Graph Attention Networks. ICIG (1) 2019: 232-244 - [c209]Hong-Wei Pang, Peipei Yang, Xiaolin Chen, Yong Wang, Cheng-Lin Liu:
Insect Recognition Under Natural Scenes Using R-FCN with Anchor Boxes Estimation. ICIG (1) 2019: 689-701 - [c208]Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu:
Accelerating Bag-of-Words with SOM. ICONIP (3) 2019: 573-584 - [c207]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network. MICCAI (3) 2019: 256-265 - [i15]Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim:
Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation. CoRR abs/1905.05980 (2019) - [i14]Nibal Nayef, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie, Cheng-Lin Liu, Jean-Marc Ogier:
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. CoRR abs/1907.00945 (2019) - 2018
- [j109]Lu Liu, Liang Shan, Yuewei Dai, Chenglin Liu, Zhidong Qi:
A Modified Quantum Bacterial Foraging Algorithm for Parameters Identification of Fractional-Order System. IEEE Access 6: 6610-6619 (2018) - [j108]