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Cheng-Lin Liu 0001
Person information
- unicode name: 刘成林
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
Other persons with the same name
- Chenglin Liu (aka: Cheng-Lin Liu) — disambiguation page
- Cheng-Lin Liu 0002 (aka: Chenglin Liu 0002) — Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry, Institute of Automation, Wuxi, China
- Cheng-Lin Liu 0003 (aka: Chenglin Liu 0003) — Southwest Jiaotong University, Chengdu, China
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2020 – today
- 2024
- [j78]Yunfei Guo, Wei Feng, Fei Yin, Cheng-Lin Liu:
SignParser: An End-to-End Framework for Traffic Sign Understanding. Int. J. Comput. Vis. 132(3): 805-821 (2024) - [j77]Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
Revisiting Confidence Estimation: Towards Reliable Failure Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3370-3387 (2024) - [j76]Jing-Yu Liu, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu:
Transformer-based stroke relation encoding for online handwriting and sketches. Pattern Recognit. 148: 110131 (2024) - [c149]Jun-Bo Zhang, Mengbiao Zhao, Fei Yin, Cheng-Lin Liu:
Sequential Transformer for End-to-End Video Text Detection. WACV 2024: 6506-6516 - [i38]Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Federated Class-Incremental Learning with Prototype Guided Transformer. CoRR abs/2401.02094 (2024) - [i37]Jiaxin Zhang, Zhongzhi Li, Mingliang Zhang, Fei Yin, Chenglin Liu, Yashar Moshfeghi:
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving. CoRR abs/2402.10104 (2024) - [i36]Fei Zhu, Shijie Ma, Zhen Cheng, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu:
Open-world Machine Learning: A Review and New Outlooks. CoRR abs/2403.01759 (2024) - [i35]Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
Revisiting Confidence Estimation: Towards Reliable Failure Prediction. CoRR abs/2403.02886 (2024) - [i34]Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu:
Active Generalized Category Discovery. CoRR abs/2403.04272 (2024) - [i33]Haoru Tan, Chuang Wang, Sitong Wu, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Ensemble Quadratic Assignment Network for Graph Matching. CoRR abs/2403.06457 (2024) - [i32]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. CoRR abs/2403.18266 (2024) - [i31]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. CoRR abs/2403.18291 (2024) - [i30]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Multi-scale Unified Network for Image Classification. CoRR abs/2403.18294 (2024) - 2023
- [j75]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) - [j74]Palaiahnakote Shivakumara, Ayush Roy, Lokesh Nandanwar, Umapada Pal, Yue Lu, Cheng-Lin Liu:
A New Lightweight Script Independent Scene Text Style Transfer Network. Int. J. Pattern Recognit. Artif. Intell. 37(13): 2353003:1-2353003:29 (2023) - [j73]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Imitating the oracle: Towards calibrated model for class incremental learning. Neural Networks 164: 38-48 (2023) - [j72]Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu:
Learning by Seeing More Classes. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7477-7493 (2023) - [j71]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) - [j70]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) - [j69]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Adversarial training with distribution normalization and margin balance. Pattern Recognit. 136: 109182 (2023) - [j68]Yu-Ting Yang, Yan-Ming Zhang, Xiao-Long Yun, Fei Yin, Cheng-Lin Liu:
DyGAT: Dynamic stroke classification of online handwritten documents and sketches. Pattern Recognit. 141: 109564 (2023) - [j67]Jiao Zhang, Xu-Yao Zhang, Chuang Wang, Cheng-Lin Liu:
Deep representation learning for domain generalization with information bottleneck principle. Pattern Recognit. 143: 109737 (2023) - [j66]Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Dynamics-aware loss for learning with label noise. Pattern Recognit. 144: 109835 (2023) - [j65]Mengbiao Zhao, Wei Feng, Fei Yin, Cheng-Lin Liu:
Texts as points: Scene text detection with point supervision. Pattern Recognit. Lett. 170: 1-8 (2023) - [j64]Kunal Biswas, Palaiahnakote Shivakumara, Umapada Pal, Cheng-Lin Liu, Yue Lu:
VQAPT: A New visual question answering model for personality traits in social media images. Pattern Recognit. Lett. 175: 66-73 (2023) - [j63]Palaiahnakote Shivakumara, Ayan Banerjee, Umapada Pal, Lokesh Nandanwar, Tong Lu, Cheng-Lin Liu:
A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images. IEEE Trans. Image Process. 32: 3552-3566 (2023) - [j62]Ruisong Zhang, Chuang Wang, Cheng-Lin Liu:
Cycle-Consistent Weakly Supervised Visual Grounding With Individual and Contextual Representations. IEEE Trans. Image Process. 32: 5167-5180 (2023) - [j61]Lintai Wu, Yong Xu, Junhui Hou, C. L. Philip Chen, Cheng-Lin Liu:
A Two-Level Rectification Attention Network for Scene Text Recognition. IEEE Trans. Multim. 25: 2404-2414 (2023) - [j60]Zhuo Chen, Fei Yin, Qing Yang, Cheng-Lin Liu:
Cross-Lingual Text Image Recognition via Multi-Hierarchy Cross-Modal Mimic. IEEE Trans. Multim. 25: 4830-4841 (2023) - [c148]Yunfei Guo, Fei Yin, Wei Feng, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu:
Social Relation Reasoning Based on Triangular Constraints. AAAI 2023: 737-745 - [c147]Mengbiao Zhao, Fei Yin, Cheng-Lin Liu:
Scene Text Detection with Box Supervision and Level Set Evolution. ACPR (1) 2023: 179-193 - [c146]Ayush Roy, Palaiahnakote Shivakumara, Umapada Pal, Shivanand S. Gornale, Cheng-Lin Liu:
A New Lightweight Attention-Based Model for Emotion Recognition on Distorted Social Media Face Images. ACPR (2) 2023: 243-257 - [c145]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
OpenMix: Exploring Outlier Samples for Misclassification Detection. CVPR 2023: 12074-12083 - [c144]Jing-Yu Liu, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu:
Streaming Stroke Classification of Online Handwriting. ICASSP 2023: 1-5 - [c143]Yunfei Guo, Fei Yin, Xiao-Hui Li, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu:
Visual Traffic Knowledge Graph Generation from Scene Images. ICCV 2023: 21547-21556 - [c142]Zhibo Yang, Xiaoge Song, Sibo Song, Tong Lu, Xiang Bai, Cheng-Lin Liu, Fei Huang, Cong Yao:
ICDAR 2023 Competition on Born Digital Video Text Question Answering. ICDAR (2) 2023: 508-521 - [c141]Wenwen Yu, Chengquan Zhang, Haoyu Cao, Wei Hua, Bohan Li, Huang Chen, Mingyu Liu, Mingrui Chen, Jianfeng Kuang, Mengjun Cheng, Yuning Du, Shikun Feng, Xiaoguang Hu, Pengyuan Lyu, Kun Yao, Yuechen Yu, Yuliang Liu, Wanxiang Che, Errui Ding, Cheng-Lin Liu, Jiebo Luo, Shuicheng Yan, Min Zhang, Dimosthenis Karatzas, Xing Sun, Jingdong Wang, Xiang Bai:
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images. ICDAR (2) 2023: 536-552 - [c140]Chenyang Gao, Yuliang Liu, Shiyu Yao, Jinfeng Bai, Xiang Bai, Lianwen Jin, Cheng-Lin Liu:
ICDAR 2023 Competition on Recognition of Multi-line Handwritten Mathematical Expressions. ICDAR (2) 2023: 566-576 - [c139]Min-Si Ren, Yan-Ming Zhang, Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Diff-Writer: A Diffusion Model-Based Stylized Online Handwritten Chinese Character Generator. ICONIP (10) 2023: 86-100 - [c138]Mingliang Zhang, Fei Yin, Cheng-Lin Liu:
A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. IJCAI 2023: 3374-3382 - [c137]Juzheng Mao, Guangming Song, Cheng-Lin Liu, Mingquan Zhang, Shengyu Xie, Shuang Hao, Aiguo Song:
A Gaze-based Bilateral Teleoperation Framework for a Team of Mobile Robots *. ROBIO 2023: 1-6 - [i29]Mingliang Zhang, Fei Yin, Cheng-Lin Liu:
A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. CoRR abs/2302.11097 (2023) - [i28]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) - [i27]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. CoRR abs/2303.02970 (2023) - [i26]Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Dynamics-Aware Loss for Learning with Label Noise. CoRR abs/2303.11562 (2023) - [i25]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
OpenMix: Exploring Outlier Samples for Misclassification Detection. CoRR abs/2303.17093 (2023) - [i24]Wenwen Yu, Chengquan Zhang, Haoyu Cao, Wei Hua, Bohan Li, Huang Chen, Mingyu Liu, Mingrui Chen, Jianfeng Kuang, Mengjun Cheng, Yuning Du, Shikun Feng, Xiaoguang Hu, Pengyuan Lyu, Kun Yao, Yuechen Yu, Yuliang Liu, Wanxiang Che, Errui Ding, Cheng-Lin Liu, Jiebo Luo, Shuicheng Yan, Min Zhang, Dimosthenis Karatzas, Xing Sun, Jingdong Wang, Xiang Bai:
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images. CoRR abs/2306.03287 (2023) - [i23]Wenzhuo Liu, Xinjian Wu, Fei Zhu, Mingming Yu, Chuang Wang, Cheng-Lin Liu:
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning. CoRR abs/2308.02346 (2023) - [i22]Jiao Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Towards Reliable Domain Generalization: A New Dataset and Evaluations. CoRR abs/2309.06142 (2023) - [i21]Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Unified Classification and Rejection: A One-versus-All Framework. CoRR abs/2311.13355 (2023) - [i20]Mingliang Zhang, Zhongzhi Li, Fei Yin, Cheng-Lin Liu:
LANS: A Layout-Aware Neural Solver for Plane Geometry Problem. CoRR abs/2311.16476 (2023) - 2022
- [j59]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) - [j58]Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu:
Cross-modal prototype learning for zero-shot handwritten character recognition. Pattern Recognit. 131: 108859 (2022) - [j57]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) - [j56]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) - [j55]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) - [j54]Mei Wang, Weihong Deng, Cheng-Lin Liu:
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. IEEE Trans. Image Process. 31: 3137-3150 (2022) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [c136]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. ECCV (25) 2022: 518-536 - [c135]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 - [c134]Mingming 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 - [c133]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 - [c132]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 - [c131]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 - [c130]Zhen Xu, Fei Yin, Peipei Yang, Cheng-Lin Liu:
Document Image Rectification in Complex Scene Using Stacked Siamese Networks. ICPR 2022: 1550-1556 - [c129]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 - [c128]Mingliang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu:
Plane Geometry Diagram Parsing. IJCAI 2022: 1636-1643 - [i19]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) - [i18]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Document Dewarping with Control Points. CoRR abs/2203.10543 (2022) - [i17]Mei Wang, Weihong Deng, Cheng-Lin Liu:
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. CoRR abs/2205.06549 (2022) - [i16]Mingliang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu:
Plane Geometry Diagram Parsing. CoRR abs/2205.09363 (2022) - 2021
- [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [c127]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 - [c126]Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Proxy Graph Matching with Proximal Matching Networks. AAAI 2021: 9808-9815 - [c125]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 - [c124]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 - [c123]Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Semantic-Aware Video Text Detection. CVPR 2021: 1695-1705 - [c122]Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu:
Prototype Augmentation and Self-Supervision for Incremental Learning. CVPR 2021: 5871-5880 - [c121]Xiao-Hui Li, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Adaptive Scaling for Archival Table Structure Recognition. ICDAR (1) 2021: 80-95 - [c120]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Document Dewarping with Control Points. ICDAR (1) 2021: 466-480 - [c119]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 - [c118]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 - [c117]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 - [c116]Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Calibration for Non-Exemplar Based Class-Incremental Learning. ICME 2021: 1-6 - [c115]Yunfei Guo, Wei Feng, Fei Yin, Tao Xue, Shuqi Mei, Cheng-Lin Liu:
Learning to Understand Traffic Signs. ACM Multimedia 2021: 2076-2084 - [c114]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Class-Incremental Learning via Dual Augmentation. NeurIPS 2021: 14306-14318 - [i15]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
- [j44]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) - [j43]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) - [j42]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) - [j41]Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen:
Towards Robust Pattern Recognition: A Review. Proc. IEEE 108(6): 894-922 (2020) - [j40]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) - [j39]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) - [j38]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) - [c113]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 - [c112]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Page Segmentation Using Convolutional Neural Network and Graphical Model. DAS 2020: 231-245 - [c111]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 - [c110]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 - [c109]Da-Han Wang, Fei Yin, Jin-Wen Wu, Yu-Pei Yan, Zhicai 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 - [c108]Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
F-mixup: Attack CNNs From Fourier Perspective. ICPR 2020: 541-548 - [c107]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 - [c106]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 - [i14]Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen:
Towards Robust Pattern Recognition: A Review. CoRR abs/2006.06976 (2020) - [i13]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
- [j37]Zhi-Yong Liu, Kaizhu Huang, Xu Yang, Cheng-Lin Liu:
Special issue on advances in graph algorithm and applications. Neurocomputing 336: 1-2 (2019) - [j36]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) - [j35]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) - [c105]Ting-Bing Xu, Cheng-Lin Liu:
Data-Distortion Guided Self-Distillation for Deep Neural Networks. AAAI 2019: 5565-5572 - [c104]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 - [c103]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 - [c102]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 - [c101]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 - [c100]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 - [i12]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
- [j34]Guo-Shuai Liu, Rui-Qi Wang, Fei Yin, Jean-Marc Ogier, Cheng-Lin Liu:
Fast genre classification of web images using global and local features. CAAI Trans. Intell. Technol. 3(3): 161-168 (2018) - [j33]Yuan-Yuan Shen, Cheng-Lin Liu:
Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation. Cogn. Comput. 10(2): 334-346 (2018) - [j32]Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Yoshua Bengio:
Drawing and Recognizing Chinese Characters with Recurrent Neural Network. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 849-862 (2018) - [j31]Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression. IEEE Trans. Image Process. 27(11): 5406-5419 (2018) - [c99]Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu:
Practical Block-Wise Neural Network Architecture Generation. CVPR 2018: 2423-2432 - [c98]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Robust Classification With Convolutional Prototype Learning. CVPR 2018: 3474-3482 - [c97]Xue-Hang Yang, Fei Yin, Cheng-Lin Liu:
Online Video Text Detection with Markov Decision Process. DAS 2018: 103-108 - [c96]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Printed/Handwritten Texts and Graphics Separation in Complex Documents Using Conditional Random Fields. DAS 2018: 145-150 - [c95]Cong Wang, Fei Yin, Cheng-Lin Liu:
Memory-Augmented Attention Model for Scene Text Recognition. ICFHR 2018: 62-67 - [c94]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Jun Sun, Cheng-Lin Liu:
Deep Transfer Mapping for Unsupervised Writer Adaptation. ICFHR 2018: 151-156 - [c93]Wei Feng, Wenhao He, Fei Yin, Cheng-Lin Liu:
Scene Text Detection with Recurrent Instance Segmentation. ICPR 2018: 2227-2232 - [c92]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering. ICPR 2018: 3627-3632 - [c91]Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu:
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks. IJCAI 2018: 1057-1063 - [c90]Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Image-to-Markup Generation via Paired Adversarial Learning. ECML/PKDD (1) 2018: 18-34 - [i11]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Robust Classification with Convolutional Prototype Learning. CoRR abs/1805.03438 (2018) - [i10]Yi-Chao Wu, Fei Yin, Xu-Yao Zhang, Li Liu, Cheng-Lin Liu:
SCAN: Sliding Convolutional Attention Network for Scene Text Recognition. CoRR abs/1806.00578 (2018) - [i9]Zhao Zhong, Zichen Yang, Boyang Deng, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu:
BlockQNN: Efficient Block-wise Neural Network Architecture Generation. CoRR abs/1808.05584 (2018) - 2017
- [j30]Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu:
SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition. Int. J. Comput. Vis. 124(2): 145-168 (2017) - [j29]Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu:
Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark. Pattern Recognit. 61: 348-360 (2017) - [j28]Yi-Chao Wu, Fei Yin, Cheng-Lin Liu:
Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models. Pattern Recognit. 65: 251-264 (2017) - [j27]Guo-Sen Xie, Xu-Yao Zhang, Wenhan Yang, Mingliang Xu, Shuicheng Yan, Cheng-Lin Liu:
LG-CNN: From local parts to global discrimination for fine-grained recognition. Pattern Recognit. 71: 118-131 (2017) - [j26]Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu:
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 27(6): 1263-1274 (2017) - [j25]Xu-Yao Zhang, Guo-Sen Xie, Cheng-Lin Liu, Yoshua Bengio:
End-to-End Online Writer Identification With Recurrent Neural Network. IEEE Trans. Hum. Mach. Syst. 47(2): 285-292 (2017) - [j24]Dongdong Wang, Xinwen Hou, Jiawei Xu, Shigang Yue, Cheng-Lin Liu:
Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test. IEEE Trans. Intell. Transp. Syst. 18(12): 3290-3302 (2017) - [c89]Zhao Zhong, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Handwritten Chinese Character Blind Inpainting with Conditional Generative Adversarial Nets. ACPR 2017: 804-809 - [c88]Guo-Shuai Liu, Fei Yin, Zhenbo Luo, Cheng-Lin Liu:
Fast Genre Classification of Web Images Using Global and Local Features. ACPR 2017: 834-839 - [c87]Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Deep Direct Regression for Multi-oriented Scene Text Detection. ICCV 2017: 745-753 - [c86]Yi-Chao Wu, Fei Yin, Zhuo Chen, Cheng-Lin Liu:
Handwritten Chinese Text Recognition Using Separable Multi-Dimensional Recurrent Neural Network. ICDAR 2017: 79-84 - [c85]Xue-Hang Yang, Wenhao He, Fei Yin, Cheng-Lin Liu:
A Unified Video Text Detection Method with Network Flow. ICDAR 2017: 331-336 - [c84]Zhuo Chen, Yichao Wu, Fei Yin, Cheng-Lin Liu:
Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks. ICDAR 2017: 525-530 - [c83]Yue Xu, Wenhao He, Fei Yin, Cheng-Lin Liu:
Page Segmentation for Historical Handwritten Documents Using Fully Convolutional Networks. ICDAR 2017: 541-546 - [c82]Tie-Qiang Wang, Fei Yin, Cheng-Lin Liu:
Radical-Based Chinese Character Recognition via Multi-Labeled Learning of Deep Residual Networks. ICDAR 2017: 579-584 - [c81]Cong Wang, Fei Yin, Cheng-Lin Liu:
Scene Text Detection with Novel Superpixel Based Character Candidate Extraction. ICDAR 2017: 929-934 - [c80]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Handwriting Style Mixture Adaptation. ICDAR 2017: 998-1003 - [c79]Nibal Nayef, Fei Yin, Imen Bizid, Hyunsoo Choi, Yuan Feng, Dimosthenis Karatzas, Zhenbo Luo, Umapada Pal, Christophe Rigaud, Joseph Chazalon, Wafa Khlif, Muhammad Muzzamil Luqman, Jean-Christophe Burie, Cheng-Lin Liu, Jean-Marc Ogier:
ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT. ICDAR 2017: 1454-1459 - [c78]Bi-Ren Tan, Fei Yin, Yi-Chao Wu, Cheng-Lin Liu:
Chinese Handwriting Generation by Neural Network Based Style Transformation. ICIG (1) 2017: 408-419 - [c77]Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu:
Margin-Aware Binarized Weight Networks for Image Classification. ICIG (1) 2017: 590-601 - [c76]Quan Qiu, Yuan Feng, Fei Yin, Cheng-Lin Liu:
A Flattened Maximally Stable Extremal Region Method for Scene Text Detection. IGTA 2017: 252-262 - [c75]Guibo Zhu, Zhaoxiang Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Diverse Neuron Type Selection for Convolutional Neural Networks. IJCAI 2017: 3560-3566 - [i8]Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Deep Direct Regression for Multi-Oriented Scene Text Detection. CoRR abs/1703.08289 (2017) - [i7]Fei Yin, Yi-Chao Wu, Xu-Yao Zhang, Cheng-Lin Liu:
Scene Text Recognition with Sliding Convolutional Character Models. CoRR abs/1709.01727 (2017) - 2016
- [j23]Ming-Ke Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Discriminative quadratic feature learning for handwritten Chinese character recognition. Pattern Recognit. 49: 7-18 (2016) - [j22]Yinglu Liu, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Adaptive spatial pooling for image classification. Pattern Recognit. 55: 58-67 (2016) - [j21]Yao Lu, Kaizhu Huang, Cheng-Lin Liu:
A fast projected fixed-point algorithm for large graph matching. Pattern Recognit. 60: 971-982 (2016) - [c74]Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu:
Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver. AAAI 2016: 2344-2350 - [c73]Yuan-Yuan Shen, Cheng-Lin Liu:
Incremental Learning Vector Quantization for Character Recognition with Local Style Consistency. BICS 2016: 228-239 - [c72]Zheng Zhang, Yong Xu, Cheng-Lin Liu:
Natural Scene Character Recognition Using Robust PCA and Sparse Representation. DAS 2016: 340-345 - [c71]Kai Chen, Fei Yin, Cheng-Lin Liu:
Effective Candidate Component Extraction for Text Localization in Born-Digital Images by Combining Text Contours and Stroke Interior Regions. DAS 2016: 352-357 - [c70]Ting-Bing Xu, Guangliang Cheng, Jie Yang, Cheng-Lin Liu:
Fast Aircraft Detection Using End-to-End Fully Convolutional Network. DSP 2016: 139-143 - [c69]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Zhenbo Luo, Cheng-Lin Liu:
Unsupervised Adaptation of Neural Networks for Chinese Handwriting Recognition. ICFHR 2016: 512-517 - [c68]Yongzhong Wang, Xu-Yao Zhang, Yanming Zhang, Xinwen Hou, Cheng-Lin Liu:
Exploiting coarse-to-fine mechanism for fine-grained recognition. ICIP 2016: 649-653 - [c67]Wenhao He, Yuxuan Luo, Fei Yin, Han Hu, Junyu Han, Errui Ding, Cheng-Lin Liu:
Context-aware mathematical expression recognition: An end-to-end framework and a benchmark. ICPR 2016: 3246-3251 - [c66]Zhao Zhong, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Handwritten Chinese character recognition with spatial transformer and deep residual networks. ICPR 2016: 3440-3445 - [i6]Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu:
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation. CoRR abs/1601.07977 (2016) - [i5]Zheng Zhang, Yong Xu, Cheng-Lin Liu:
Natural Scene Character Recognition Using Robust PCA and Sparse Representation. CoRR abs/1606.04616 (2016) - [i4]Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu:
Online and Offline Handwritten Chinese Character Recognition: A Comprehensive Study and New Benchmark. CoRR abs/1606.05763 (2016) - [i3]Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Yoshua Bengio:
Drawing and Recognizing Chinese Characters with Recurrent Neural Network. CoRR abs/1606.06539 (2016) - 2015
- [j20]Yan-Ming Zhang, Kaizhu Huang, Guang-Gang Geng, Cheng-Lin Liu:
MTC: A Fast and Robust Graph-Based Transductive Learning Method. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1979-1991 (2015) - [j19]Xu-Yao Zhang, LingFeng Wang, Shiming Xiang, Cheng-Lin Liu:
Retargeted Least Squares Regression Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2206-2213 (2015) - [c65]Dongdong Wang, Xinwen Hou, Cheng-Lin Liu:
Traffic sign detection from video: A fast approach with tracking. ACPR 2015: 96-100 - [c64]Xin He, Yi-Chao Wu, Kai Chen, Fei Yin, Cheng-Lin Liu:
Neural network based over-segmentation for scene text recognition. ACPR 2015: 715-719 - [c63]Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu:
Task-Driven Feature Pooling for Image Classification. ICCV 2015: 1179-1187 - [c62]Yi-Chao Wu, Fei Yin, Cheng-Lin Liu:
Evaluation of neural network language models in handwritten Chinese text recognition. ICDAR 2015: 166-170 - [c61]Kai Chen, Fei Yin, Amir Hussain, Cheng-Lin Liu:
Efficient text localization in born-digital images by local contrast-based segmentation. ICDAR 2015: 291-295 - [c60]Fei Yin, Pai pai Liu, Linlin Huang, Cheng-Lin Liu:
Lexicon-driven recognition of one-stroke character strings in visual gesture. ICDAR 2015: 421-425 - [c59]Dongdong Wang, Shigang Yue, Jiawei Xu, Xinwen Hou, Cheng-Lin Liu:
A saliency-based cascade method for fast traffic sign detection. Intelligent Vehicles Symposium 2015: 180-185 - 2014
- [j18]Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu:
An over-segmentation method for single-touching Chinese handwriting with learning-based filtering. Int. J. Document Anal. Recognit. 17(1): 91-104 (2014) - [j17]Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi:
Graphical lasso quadratic discriminant function and its application to character recognition. Neurocomputing 129: 33-40 (2014) - [j16]Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Unsupervised language model adaptation for handwritten Chinese text recognition. Pattern Recognit. 47(3): 1202-1216 (2014) - [j15]Xu-Yao Zhang, Peipei Yang, Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu:
Combination of Classification and Clustering Results with Label Propagation. IEEE Signal Process. Lett. 21(5): 610-614 (2014) - [j14]Yan-Ming Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu:
Learning Locality Preserving Graph from Data. IEEE Trans. Cybern. 44(11): 2088-2098 (2014) - [c58]Guo-Sen Xie, Xu-Yao Zhang, Cheng-Lin Liu:
Efficient Feature Coding Based on Auto-encoder Network for Image Classification. ACCV (1) 2014: 628-642 - [c57]Bo-Yuan Feng, Mingwu Ren, Xu-Yao Zhang, Cheng-Lin Liu:
Effective license plate detection using fast candidate region selection and covariance feature based filtering. AVSS 2014: 1-6 - [c56]Bo Bai, Fei Yin, Cheng-Lin Liu:
A Seed-Based Segmentation Method for Scene Text Extraction. Document Analysis Systems 2014: 262-266 - [c55]Yi-Chao Wu, Fei Yin, Cheng-Lin Liu:
Evaluation of Geometric Context Models for Handwritten Numeral String Recognition. ICFHR 2014: 193-198 - [c54]Ming-Ke Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Improving Handwritten Chinese Character Recognition with Discriminative Quadratic Feature Extraction. ICPR 2014: 244-249 - [c53]Guo-Sen Xie, Xu-Yao Zhang, Yan-Ming Zhang, Cheng-Lin Liu:
Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction. IJCNN 2014: 1622-1629 - 2013
- [j13]Liang Huang, Fei Yin, Qing-Hu Chen, Cheng-Lin Liu:
Keyword spotting in unconstrained handwritten Chinese documents using contextual word model. Image Vis. Comput. 31(12): 958-968 (2013) - [j12]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu:
Geometry preserving multi-task metric learning. Mach. Learn. 92(1): 133-175 (2013) - [j11]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu:
A multi-task framework for metric learning with common subspace. Neural Comput. Appl. 22(7-8): 1337-1347 (2013) - [j10]Xu-Yao Zhang, Cheng-Lin Liu:
Writer Adaptation with Style Transfer Mapping. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1773-1787 (2013) - [j9]Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang:
Online and offline handwritten Chinese character recognition: Benchmarking on new databases. Pattern Recognit. 46(1): 155-162 (2013) - [j8]Xu-Yao Zhang, Cheng-Lin Liu:
Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition. Pattern Recognit. 46(9): 2599-2611 (2013) - [j7]Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu:
Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context. Pattern Recognit. 46(10): 2807-2818 (2013) - [c52]Xiao-Jie Jin, Qiu-Feng Wang, Xinwen Hou, Cheng-Lin Liu:
Visual Gesture Character String Recognition by Classification-Based Segmentation with Stroke Deletion. ACPR 2013: 120-124 - [c51]Yinglu Liu, Xinwen Hou, Cheng-Lin Liu:
A Compact Spatial Feature Representation for Image Classification. ACPR 2013: 601-605 - [c50]Xu-Yao Zhang, Cheng-Lin Liu:
Locally Smoothed Modified Quadratic Discriminant Function. ICDAR 2013: 8-12 - [c49]Ming-Ke Zhou, Fei Yin, Cheng-Lin Liu:
GPU-Based Fast Training of Discriminative Learning Quadratic Discriminant Function for Handwritten Chinese Character Recognition. ICDAR 2013: 842-846 - [c48]Kai Chen, Fei Yin, Cheng-Lin Liu:
Hybrid Page Segmentation with Efficient Whitespace Rectangles Extraction and Grouping. ICDAR 2013: 958-962 - [c47]Fei Yin, Ming-Ke Zhou, Qiu-Feng Wang, Cheng-Lin Liu:
Style Consistent Perturbation for Handwritten Chinese Character Recognition. ICDAR 2013: 1051-1055 - [c46]Bo Bai, Fei Yin, Cheng-Lin Liu:
Scene Text Localization Using Gradient Local Correlation. ICDAR 2013: 1380-1384 - [c45]Fei Yin, Qiu-Feng Wang, Xu-Yao Zhang, Cheng-Lin Liu:
ICDAR 2013 Chinese Handwriting Recognition Competition. ICDAR 2013: 1464-1470 - [c44]Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Feature Transformation with Class Conditional Decorrelation. ICDM 2013: 887-896 - [c43]Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, Cheng-Lin Liu:
Fast kNN Graph Construction with Locality Sensitive Hashing. ECML/PKDD (2) 2013: 660-674 - 2012
- [j6]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Joint learning of error-correcting output codes and dichotomizers from data. Neural Comput. Appl. 21(4): 715-724 (2012) - [j5]Bo Xu, Kaizhu Huang, Cheng-Lin Liu:
Maxi-Min discriminant analysis via online learning. Neural Networks 34: 56-64 (2012) - [j4]Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Handwritten Chinese Text Recognition by Integrating Multiple Contexts. IEEE Trans. Pattern Anal. Mach. Intell. 34(8): 1469-1481 (2012) - [c42]Bo Bai, Fei Yin, Cheng-Lin Liu:
A Fast Stroke-Based Method for Text Detection in Video. Document Analysis Systems 2012: 69-73 - [c41]Muna Khayyat, Louisa Lam, Ching Y. Suen, Fei Yin, Cheng-Lin Liu:
Arabic Handwritten Text Line Extraction by Applying an Adaptive Mask to Morphological Dilation. Document Analysis Systems 2012: 100-104 - [c40]Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Improving Handwritten Chinese Text Recognition by Unsupervised Language Model Adaptation. Document Analysis Systems 2012: 110-114 - [c39]Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu:
A Touching Character Database from Chinese Handwriting for Assessing Segmentation Algorithms. ICFHR 2012: 89-94 - [c38]Xu-Yao Zhang, Cheng-Lin Liu:
Confused Distance Maximization for Large Category Dimensionality Reduction. ICFHR 2012: 213-218 - [c37]Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu:
Multiple Outlooks Learning with Support Vector Machines. ICONIP (3) 2012: 116-124 - [c36]Peipei Yang, Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Manifold Regularized Multi-Task Learning. ICONIP (3) 2012: 528-536 - [c35]An Lu, Xinwen Hou, Cheng-Lin Liu, Xiaolin Chen:
Insect species recognition using discriminative local soft coding. ICPR 2012: 1221-1224 - [c34]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu:
Geometry Preserving Multi-task Metric Learning. ECML/PKDD (1) 2012: 648-664 - [i2]Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu:
Robust Metric Learning by Smooth Optimization. CoRR abs/1203.3461 (2012) - [i1]Yao Lu, Kaizhu Huang, Cheng-Lin Liu:
A Fast Projected Fixed-Point Algorithm for Large Graph Matching. CoRR abs/1207.1114 (2012) - 2011
- [j3]Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu:
A Hybrid Approach to Detect and Localize Texts in Natural Scene Images. IEEE Trans. Image Process. 20(3): 800-813 (2011) - [c33]Xu-Yao Zhang, Cheng-Lin Liu:
Style transfer matrix learning for writer adaptation. CVPR 2011: 393-400 - [c32]Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang:
CASIA Online and Offline Chinese Handwriting Databases. ICDAR 2011: 37-41 - [c31]Xiang-Dong Zhou, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Masaki Nakagawa, Cheng-Lin Liu:
Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields. ICDAR 2011: 58-62 - [c30]Liang Huang, Fei Yin, Qing-Hu Chen, Cheng-Lin Liu:
Keyword Spotting in Offline Chinese Handwritten Documents Using a Statistical Model. ICDAR 2011: 78-82 - [c29]Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Improving Handwritten Chinese Text Recognition by Confidence Transformation. ICDAR 2011: 518-522 - [c28]Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu:
Touching Character Separation in Chinese Handwriting Using Visibility-Based Foreground Analysis. ICDAR 2011: 859-863 - [c27]Tong-Hua Su, Cheng-Lin Liu, Xu-Yao Zhang:
Perceptron Learning of Modified Quadratic Discriminant Function. ICDAR 2011: 1007-1011 - [c26]Cheng-Lin Liu, Fei Yin, Qiu-Feng Wang, Da-Han Wang:
ICDAR 2011 Chinese Handwriting Recognition Competition. ICDAR 2011: 1464-1469 - [c25]Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu:
Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. ICDM 2011: 952-961 - [c24]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Low Rank Metric Learning with Manifold Regularization. ICDM 2011: 1266-1271 - [c23]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu:
Multi-Task Low-Rank Metric Learning Based on Common Subspace. ICONIP (2) 2011: 151-159 - [c22]Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi:
Graphical Lasso Quadratic Discriminant Function for Character Recognition. ICONIP (3) 2011: 747-755 - [c21]Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Pattern Field Classification with Style Normalized Transformation. IJCAI 2011: 1621-1626 - 2010
- [j2]Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou:
Regularized margin-based conditional log-likelihood loss for prototype learning. Pattern Recognit. 43(7): 2428-2438 (2010) - [c20]Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou:
Transductive Learning on Adaptive Graphs. AAAI 2010: 661-666 - [c19]Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu:
Gaussian Process Latent Random Field. AAAI 2010: 679-684 - [c18]Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu:
Integrating Geometric Context for Text Alignment of Handwritten Chinese Documents. ICFHR 2010: 7-12 - [c17]Bo Xu, Kaizhu Huang, Cheng-Lin Liu:
Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty. ICFHR 2010: 527-532 - [c16]Yi-Feng Pan, Cheng-Lin Liu, Xinwen Hou:
Fast scene text localization by learning-based filtering and verification. ICIP 2010: 2269-2272 - [c15]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Learning ECOC and Dichotomizers Jointly from Data. ICONIP (1) 2010: 494-502 - [c14]Xiaobo Jin, Xinwen Hou, Cheng-Lin Liu:
Multi-class AdaBoost with Hypothesis Margin. ICPR 2010: 65-68 - [c13]Bo Xu, Kaizhu Huang, Cheng-Lin Liu:
Dimensionality Reduction by Minimal Distance Maximization. ICPR 2010: 569-572 - [c12]Heng Wang, Xinwen Hou, Cheng-Lin Liu:
Boosting Incremental Semi-supervised Discriminant Analysis for Tracking. ICPR 2010: 2748-2751 - [c11]Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu:
Robust Metric Learning by Smooth Optimization. UAI 2010: 244-251
2000 – 2009
- 2009
- [j1]Fei Yin, Cheng-Lin Liu:
Handwritten Chinese text line segmentation by clustering with distance metric learning. Pattern Recognit. 42(12): 3146-3157 (2009) - [c10]Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu:
Text Localization in Natural Scene Images Based on Conditional Random Field. ICDAR 2009: 6-10 - [c9]Fei Yin, Cheng-Lin Liu:
A Variational Bayes Method for Handwritten Text Line Segmentation. ICDAR 2009: 436-440 - [c8]Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu:
A Tool for Ground-Truthing Text Lines and Characters in Off-Line Handwritten Chinese Documents. ICDAR 2009: 951-955 - [c7]Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Integrating Language Model in Handwritten Chinese Text Recognition. ICDAR 2009: 1036-1040 - [c6]Heng Wang, Xinwen Hou, Cheng-Lin Liu:
Object tracking by bidirectional learning with feature selection. ICIP 2009: 893-896 - [c5]Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu:
Subspace Regularization: A New Semi-supervised Learning Method. ECML/PKDD (2) 2009: 586-601 - 2008
- [c4]Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu:
A Robust System to Detect and Localize Texts in Natural Scene Images. Document Analysis Systems 2008: 35-42 - [c3]Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou:
Prototype learning with margin-based conditional log-likelihood loss. ICPR 2008: 1-4 - [c2]Xiao-Hua Liu, Cheng-Lin Liu, Xinwen Hou:
A pooled subspace mixture density model for pattern classification in high-dimensional spaces. IJCNN 2008: 2466-2471 - 2006
- [c1]Xinwen Hou, Cheng-Lin Liu, Tieniu Tan:
Learning Boosted Asymmetric Classifiers for Object Detection. CVPR (1) 2006: 330-338
Coauthor Index
aka: Shivakumara Palaiahnakote
aka: Yan-Ming Zhang
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