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ORCIDCheng-Lin Liu 0001
Chenglin Liu 0001 – 刘成林
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, Cheng-Lin Liu) — disambiguation page
- Cheng-Lin Liu 0002
![[0000-0001-9032-2991]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9032-2991")
(aka: Chenglin Liu 0002) — Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry, Institute of Automation, Wuxi, China - Chenglin Liu 0003 (aka: Cheng-Lin Liu 0003) — Southwest Jiaotong University, Chengdu, China
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2020 – today
- 2025
[j123]Jiao Zhang, Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu:
Towards reliable domain generalization: Insights from the PF2HC benchmark and dynamic evaluations. Pattern Recognit. 157: 110926 (2025)- [j122]Wenzhuo Liu, Xin-Jian Wu, Fei Zhu, Ming-Ming Yu, Chuang Wang, Cheng-Lin Liu:
Class incremental learning with self-supervised pre-training and prototype learning. Pattern Recognit. 157: 110943 (2025) - [j121]Ayush Roy, Shivakumara Palaiahnakote, Umapada Pal, Cheng-Lin Liu:
A novel domain independent scene text localizer. Pattern Recognit. 158: 111015 (2025) - [e63]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15301, Springer 2025, ISBN 978-3-031-78106-3 [contents] - [e62]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15302, Springer 2025, ISBN 978-3-031-78165-0 [contents] - [e61]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15303, Springer 2025, ISBN 978-3-031-78121-6 [contents] - [e60]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15304, Springer 2025, ISBN 978-3-031-78127-8 [contents] - [e59]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15305, Springer 2025, ISBN 978-3-031-78168-1 [contents] - [e58]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15306, Springer 2025, ISBN 978-3-031-78171-1 [contents] - [e57]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15307, Springer 2025, ISBN 978-3-031-78182-7 [contents] - [e56]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15308, Springer 2025, ISBN 978-3-031-78185-8 [contents] - [e55]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15309, Springer 2025, ISBN 978-3-031-78188-9 [contents] - [e54]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15310, Springer 2025, ISBN 978-3-031-78191-9 [contents] - [e53]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15311, Springer 2025, ISBN 978-3-031-78194-0 [contents] - [e52]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15312, Springer 2025, ISBN 978-3-031-78197-1 [contents] - [e51]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIII. Lecture Notes in Computer Science 15313, Springer 2025, ISBN 978-3-031-78200-8 [contents] - [e50]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIV. Lecture Notes in Computer Science 15314, Springer 2025, ISBN 978-3-031-78340-1 [contents] - [e49]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XV. Lecture Notes in Computer Science 15315, Springer 2025, ISBN 978-3-031-78353-1 [contents] - [e48]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVI. Lecture Notes in Computer Science 15316, Springer 2025, ISBN 978-3-031-78443-9 [contents] - [e47]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVII. Lecture Notes in Computer Science 15317, Springer 2025, ISBN 978-3-031-78446-0 [contents] - [e46]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVIII. Lecture Notes in Computer Science 15318, Springer 2025, ISBN 978-3-031-78455-2 [contents] - [e45]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIX. Lecture Notes in Computer Science 15319, Springer 2025, ISBN 978-3-031-78494-1 [contents] - [e44]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XX. Lecture Notes in Computer Science 15320, Springer 2025, ISBN 978-3-031-78497-2 [contents] - [e43]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXI. Lecture Notes in Computer Science 15321, Springer 2025, ISBN 978-3-031-78304-3 [contents] - [e42]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXII. Lecture Notes in Computer Science 15322, Springer 2025, ISBN 978-3-031-78311-1 [contents] - [e41]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIII. Lecture Notes in Computer Science 15323, Springer 2025, ISBN 978-3-031-78346-3 [contents] - [e40]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIV. Lecture Notes in Computer Science 15324, Springer 2025, ISBN 978-3-031-78382-1 [contents] - [e39]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXV. Lecture Notes in Computer Science 15325, Springer 2025, ISBN 978-3-031-78388-3 [contents] - [e38]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXVI. Lecture Notes in Computer Science 15326, Springer 2025, ISBN 978-3-031-78394-4 [contents] - [e37]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXVII. Lecture Notes in Computer Science 15327, Springer 2025, ISBN 978-3-031-78397-5 [contents] - [e36]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXVIII. Lecture Notes in Computer Science 15328, Springer 2025, ISBN 978-3-031-78103-2 [contents] - [e35]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIX. Lecture Notes in Computer Science 15329, Springer 2025, ISBN 978-3-031-78109-4 [contents] - [e34]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXX. Lecture Notes in Computer Science 15330, Springer 2025, ISBN 978-3-031-78112-4 [contents] - [e33]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXI. Lecture Notes in Computer Science 15331, Springer 2025, ISBN 978-3-031-78118-6 [contents] - [e32]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXII. Lecture Notes in Computer Science 15332, Springer 2025, ISBN 978-3-031-78124-7 [contents] - [e31]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXIII. Lecture Notes in Computer Science 15333, Springer 2025, ISBN 978-3-031-80135-8 [contents] - [e30]Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition. Competitions - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXIV. Lecture Notes in Computer Science 15334, Springer 2025, ISBN 978-3-031-80138-9 [contents] - [e29]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15031, Springer 2025, ISBN 978-981-97-8486-8 [contents] - [e28]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15032, Springer 2025, ISBN 978-981-97-8489-9 [contents] - [e27]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15033, Springer 2025, ISBN 978-981-97-8501-8 [contents] - [e26]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024 Urumqi, China, October 18-20, 2024 Proceedings, Part IV. Lecture Notes in Computer Science 15034, Springer 2025, ISBN 978-981-97-8504-9 [contents] - [e25]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15035, Springer 2025, ISBN 978-981-97-8619-0 [contents] - [e24]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15036, Springer 2025, ISBN 978-981-97-8507-0 [contents] - [e23]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15037, Springer 2025, ISBN 978-981-97-8510-0 [contents] - [e22]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15038, Springer 2025, ISBN 978-981-97-8684-8 [contents] - [e21]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15039, Springer 2025, ISBN 978-981-97-8691-6 [contents] - [e20]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15040, Springer 2025, ISBN 978-981-97-8791-3 [contents] - [e19]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15041, Springer 2025, ISBN 978-981-97-8794-4 [contents] - [e18]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15042, Springer 2025, ISBN 978-981-97-8857-6 [contents] - [e17]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIII. Lecture Notes in Computer Science 15043, Springer 2025, ISBN 978-981-97-8492-9 [contents] - [e16]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIV. Lecture Notes in Computer Science 15044, Springer 2025, ISBN 978-981-97-8495-0 [contents] - [e15]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XV. Lecture Notes in Computer Science 15045, Springer 2025, ISBN 978-981-97-8498-1 [contents] - 2024
- [j120]Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Unified Classification and Rejection: A One-versus-all Framework. Mach. Intell. Res. 21(5): 870-887 (2024) - [j119]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) - [j118]Haoru Tan, Chuang Wang, Sitong Wu, Xu-Yao Zhang, Fei Yin, Chenglin Liu:
Ensemble Quadratic Assignment Network for Graph Matching. Int. J. Comput. Vis. 132(9): 3633-3655 (2024) - [j117]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) - [j116]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) - [j115]Ayan Banerjee, Palaiahnakote Shivakumara, Saumik Bhattacharya, Umapada Pal, Cheng-Lin Liu:
An end-to-end model for multi-view scene text recognition. Pattern Recognit. 149: 110206 (2024) - [j114]Yue Xu, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu:
Large-scale continual learning for ancient Chinese character recognition. Pattern Recognit. 150: 110283 (2024) - [j113]Mingming Yu, Heng Zhang, Fei Yin, Cheng-Lin Liu:
An approach for handwritten Chinese text recognition unifying character segmentation and recognition. Pattern Recognit. 151: 110373 (2024) - [j112]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Polynomial kernel learning for interpolation kernel machines with application to graph classification. Pattern Recognit. Lett. 186: 7-13 (2024) - [j111]Jun-Bo Zhang, Wei Feng, Mengbiao Zhao, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Video Text Detection With Robust Feature Representation. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4407-4420 (2024) - [c195]Jiaxin Zhang, Zhongzhi Li, Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu, Yashar Moshfeghi:
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving. ACL (Findings) 2024: 1258-1276 - [c194]Zhongzhi Li, Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu:
LANS: A Layout-Aware Neural Solver for Plane Geometry Problem. ACL (Findings) 2024: 2596-2608 - [c193]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang:
RCL: Reliable Continual Learning for Unified Failure Detection. CVPR 2024: 12140-12150 - [c192]Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu:
Active Generalized Category Discovery. CVPR 2024: 16890-16900 - [c191]Zhengqing Gao, Xu-Yao Zhang, Cheng-Lin Liu:
Unified Entropy Optimization for Open-Set Test-Time Adaptation. CVPR 2024: 23975-23984 - [c190]Xiang Ao, Xiaohui Li, Xu-Yao Zhang, Chenglin Liu:
Prototype Calibration with Synthesized Samples for Zero-Shot Chinese Character Recognition. ICASSP 2024: 6295-6299 - [c189]Arnab Halder, Shivakumara Palaiahnakote, Umapada Pal, Michael Blumenstein, Cheng-Lin Liu:
A New Unsupervised Approach for Text Localization in Shaky and Non-shaky Scene Video. ICDAR (5) 2024: 162-179 - [c188]Lu-Rong Ling, Heng Zhang, Fei Yin, Cheng-Lin Liu:
Deep Metric Learning with Cross-Writer Attention for Offline Signature Verification. ICDAR (2) 2024: 250-267 - [c187]Zhengqing Gao, Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu:
Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning. PRCV (5) 2024: 439-452 - [c186]Jun-Bo Zhang, Mengbiao Zhao, Fei Yin, Cheng-Lin Liu:
Sequential Transformer for End-to-End Video Text Detection. WACV 2024: 6506-6516 - [i49]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) - [i48]Jiaxin Zhang, Zhongzhi Li, Ming-Liang 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) - [i47]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) - [i46]Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
Revisiting Confidence Estimation: Towards Reliable Failure Prediction. CoRR abs/2403.02886 (2024) - [i45]Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu:
Active Generalized Category Discovery. CoRR abs/2403.04272 (2024) - [i44]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) - [i43]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. CoRR abs/2403.18266 (2024) - [i42]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. CoRR abs/2403.18291 (2024) - [i41]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Multi-scale Unified Network for Image Classification. CoRR abs/2403.18294 (2024) - [i40]Zhengqing Gao, Xu-Yao Zhang, Cheng-Lin Liu:
Unified Entropy Optimization for Open-Set Test-Time Adaptation. CoRR abs/2404.06065 (2024) - [i39]Haoru Tan, Chuang Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Differentiable Proximal Graph Matching. CoRR abs/2405.16479 (2024) - [i38]Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu:
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution. CoRR abs/2405.18240 (2024) - [i37]Ming-Liang Zhang, Zhong-Zhi Li, Fei Yin, Liang Lin, Cheng-Lin Liu:
Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram. CoRR abs/2407.07327 (2024) - [i36]Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin, Zhi-Long Ji, Jin-Feng Bai, Zhen-Ru Pan, Fanhu Zeng, Jian Xu, Jiaxin Zhang, Cheng-Lin Liu:
CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models. CoRR abs/2407.12023 (2024) - [i35]Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning. CoRR abs/2407.14029 (2024) - [i34]Jiao Zhang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu:
StylePrompter: Enhancing Domain Generalization with Test-Time Style Priors. CoRR abs/2408.09138 (2024) - [i33]Zhengqing Gao, Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu:
Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning. CoRR abs/2408.16486 (2024) - [i32]Yi Chen, Jian Xu, Xu-Yao Zhang, Wen-Zhuo Liu, Yang-Yang Liu, Cheng-Lin Liu:
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information. CoRR abs/2409.01179 (2024) - [i31]Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu:
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models. CoRR abs/2410.05849 (2024) - [i30]Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. CoRR abs/2410.06535 (2024) - 2023
- [j110]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) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Adversarial training with distribution normalization and margin balance. Pattern Recognit. 136: 109182 (2023) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [c185]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 - [c184]Mengbiao Zhao, Fei Yin, Cheng-Lin Liu:
Scene Text Detection with Box Supervision and Level Set Evolution. ACPR (1) 2023: 179-193 - [c183]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 - [c182]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Interpolation Kernel Machines: Reducing Multiclass to Binary. CAIP (1) 2023: 174-184 - [c181]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
OpenMix: Exploring Outlier Samples for Misclassification Detection. CVPR 2023: 12074-12083 - [c180]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification. GbRPR 2023: 3-14 - [c179]Jing-Yu Liu, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu:
Streaming Stroke Classification of Online Handwriting. ICASSP 2023: 1-5 - [c178]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 - [c177]Zhenru Pan, Zhilong Ji, Xiao Liu, Jinfeng Bai, Cheng-Lin Liu:
ViSA: Visual and Semantic Alignment for Robust Scene Text Recognition. ICDAR (2) 2023: 223-242 - [c176]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 - [c175]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 - [c174]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 - [c173]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 - [c172]Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu:
A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. IJCAI 2023: 3374-3382 - [c171]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 - [e14]Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14406, Springer 2023, ISBN 978-3-031-47633-4 [contents] - [e13]Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14407, Springer 2023, ISBN 978-3-031-47636-5 [contents] - [e12]Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14408, Springer 2023, ISBN 978-3-031-47664-8 [contents] - [i29]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) - [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]Ming-Liang Zhang, Zhong-Zhi Li, Fei Yin, Cheng-Lin Liu:
LANS: A Layout-Aware Neural Solver for Plane Geometry Problem. CoRR abs/2311.16476 (2023) - 2022
- [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu:
Cross-modal prototype learning for zero-shot handwritten character recognition. Pattern Recognit. 131: 108859 (2022) - [j88]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) - [j87]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) - [j86]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) - [j85]Mei Wang, Weihong Deng, Cheng-Lin Liu:
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. IEEE Trans. Image Process. 31: 3137-3150 (2022) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [c170]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. ECCV (25) 2022: 518-536 - [c169]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 - [c168]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 - [c167]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 - [c166]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 - [c165]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 - [c164]Zhen Xu, Fei Yin, Peipei Yang, Cheng-Lin Liu:
Document Image Rectification in Complex Scene Using Stacked Siamese Networks. ICPR 2022: 1550-1556 - [c163]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 - [c162]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification. ICPRAI (2) 2022: 467-479 - [c161]Ming-Liang 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]Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu:
Plane Geometry Diagram Parsing. CoRR abs/2205.09363 (2022) - 2021
- [j80]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) - [j79]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) - [j78]Cong Wang, Cheng-Lin Liu:
Multi-branch guided attention network for irregular text recognition. Neurocomputing 425: 278-289 (2021) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [c160]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 - [c159]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 - [c158]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 - [c157]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 - [c156]Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Semantic-Aware Video Text Detection. CVPR 2021: 1695-1705 - [c155]Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu:
Prototype Augmentation and Self-Supervision for Incremental Learning. CVPR 2021: 5871-5880 - [c154]Xiao-Hui Li, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Adaptive Scaling for Archival Table Structure Recognition. ICDAR (1) 2021: 80-95 - [c153]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Document Dewarping with Control Points. ICDAR (1) 2021: 466-480 - [c152]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 - [c151]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 - [c150]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 - [c149]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 - [c148]Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Calibration for Non-Exemplar Based Class-Incremental Learning. ICME 2021: 1-6 - [c147]Likun Gao, Heng Zhang, Cheng-Lin Liu:
Regularizing CTC in Expectation-Maximization Framework with Application to Handwritten Text Recognition. IJCNN 2021: 1-7 - [c146]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 - [c145]Deli Yu, Peipei Yang, Cheng-Lin Liu:
Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression. MIPR 2021: 42-48 - [c144]Yunfei Guo, Wei Feng, Fei Yin, Tao Xue, Shuqi Mei, Cheng-Lin Liu:
Learning to Understand Traffic Signs. ACM Multimedia 2021: 2076-2084 - [c143]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
- [j72]Yunxue Shao, Cheng-Lin Liu:
Teaching machines to write like humans using L-attributed grammar. Eng. Appl. Artif. Intell. 90: 103489 (2020) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen:
Towards Robust Pattern Recognition: A Review. Proc. IEEE 108(6): 894-922 (2020) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [c142]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 - [c141]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Page Segmentation Using Convolutional Neural Network and Graphical Model. DAS 2020: 231-245 - [c140]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 - [c139]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 - [c138]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 - [c137]Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
F-mixup: Attack CNNs From Fourier Perspective. ICPR 2020: 541-548 - [c136]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 - [c135]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 - [c134]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 - [e11]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] - [e10]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] - [e9]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] - [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
- [j61]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) - [j60]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) - [j59]Zhi-Yong Liu, Kaizhu Huang, Xu Yang, Cheng-Lin Liu:
Special issue on advances in graph algorithm and applications. Neurocomputing 336: 1-2 (2019) - [j58]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) - [j57]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) - [c133]Ting-Bing Xu, Cheng-Lin Liu:
Data-Distortion Guided Self-Distillation for Deep Neural Networks. AAAI 2019: 5565-5572 - [c132]Yuan-Xing Zhao, Yan-Ming Zhang, Cheng-Lin Liu:
Bag of Tricks for 3D MRI Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 210-220 - [c131]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 - [c130]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 - [c129]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 - [c128]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 - [c127]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 - [c126]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 - [c125]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 - [c124]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 - [c123]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 - [c122]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 - [c121]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 - [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
- [j56]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) - [j55]Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang:
Special Issue of BICS 2016. Cogn. Comput. 10(2): 282-283 (2018) - [j54]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) - [j53]Cheng-Lin Liu, Gernot A. Fink, Venu Govindaraju, Lianwen Jin:
Special issue on deep learning for document analysis and recognition. Int. J. Document Anal. Recognit. 21(3): 159-160 (2018) - [j52]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) - [j51]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) - [c120]Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu:
Practical Block-Wise Neural Network Architecture Generation. CVPR 2018: 2423-2432 - [c119]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Robust Classification With Convolutional Prototype Learning. CVPR 2018: 3474-3482 - [c118]Xue-Hang Yang, Fei Yin, Cheng-Lin Liu:
Online Video Text Detection with Markov Decision Process. DAS 2018: 103-108 - [c117]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Printed/Handwritten Texts and Graphics Separation in Complex Documents Using Conditional Random Fields. DAS 2018: 145-150 - [c116]Cong Wang, Fei Yin, Cheng-Lin Liu:
Memory-Augmented Attention Model for Scene Text Recognition. ICFHR 2018: 62-67 - [c115]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Jun Sun, Cheng-Lin Liu:
Deep Transfer Mapping for Unsupervised Writer Adaptation. ICFHR 2018: 151-156 - [c114]Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu:
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks. ICPR 2018: 1121-1126 - [c113]Wei Feng, Wenhao He, Fei Yin, Cheng-Lin Liu:
Scene Text Detection with Recurrent Instance Segmentation. ICPR 2018: 2227-2232 - [c112]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 - [c111]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 - [c110]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 - [e8]Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo, Huimin Zhao, Xinbo Zhao:
Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Xi'an, China, July 7-8, 2018, Proceedings. Lecture Notes in Computer Science 10989, Springer 2018, ISBN 978-3-030-00562-7 [contents] - [e7]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11256, Springer 2018, ISBN 978-3-030-03397-2 [contents] - [e6]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11257, Springer 2018, ISBN 978-3-030-03334-7 [contents] - [e5]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11258, Springer 2018, ISBN 978-3-030-03337-8 [contents] - [e4]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11259, Springer 2018, ISBN 978-3-030-03340-8 [contents] - [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
- [j50]Heng Zhang, Xiang-Dong Zhou, Cheng-Lin Liu:
Keyword spotting in handwritten chinese documents using semi-markov conditional random fields. Eng. Appl. Artif. Intell. 58: 49-61 (2017) - [j49]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) - [j48]Xueyun Chen, Ren-Xi Gong, Ling-Ling Xie, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan:
Building Regional Covariance Descriptors for Vehicle Detection. IEEE Geosci. Remote. Sens. Lett. 14(4): 524-528 (2017) - [j47]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) - [j46]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) - [j45]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) - [j44]Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch:
Special issue "Advances in graph-based pattern recognition". Pattern Recognit. Lett. 87: 1-3 (2017) - [j43]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) - [j42]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) - [j41]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) - [c109]Zhao Zhong, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Handwritten Chinese Character Blind Inpainting with Conditional Generative Adversarial Nets. ACPR 2017: 804-809 - [c108]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 - [c107]Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Deep Direct Regression for Multi-oriented Scene Text Detection. ICCV 2017: 745-753 - [c106]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 - [c105]Xue-Hang Yang, Wenhao He, Fei Yin, Cheng-Lin Liu:
A Unified Video Text Detection Method with Network Flow. ICDAR 2017: 331-336 - [c104]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 - [c103]Yue Xu, Wenhao He, Fei Yin, Cheng-Lin Liu:
Page Segmentation for Historical Handwritten Documents Using Fully Convolutional Networks. ICDAR 2017: 541-546 - [c102]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 - [c101]Cong Wang, Fei Yin, Cheng-Lin Liu:
Scene Text Detection with Novel Superpixel Based Character Candidate Extraction. ICDAR 2017: 929-934 - [c100]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Handwriting Style Mixture Adaptation. ICDAR 2017: 998-1003 - [c99]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 - [c98]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 - [c97]Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu:
Margin-Aware Binarized Weight Networks for Image Classification. ICIG (1) 2017: 590-601 - [c96]Quan Qiu, Yuan Feng, Fei Yin, Cheng-Lin Liu:
A Flattened Maximally Stable Extremal Region Method for Scene Text Detection. IGTA 2017: 252-262 - [c95]Guibo Zhu, Zhaoxiang Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Diverse Neuron Type Selection for Convolutional Neural Networks. IJCAI 2017: 3560-3566 - [e3]Pasquale Foggia, Cheng-Lin Liu, Mario Vento:
Graph-Based Representations in Pattern Recognition - 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16-18, 2017, Proceedings. Lecture Notes in Computer Science 10310, 2017, ISBN 978-3-319-58960-2 [contents] - [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
- [j40]Cheng-Lin Liu, Brian C. Lovell, Dacheng Tao, Massimo Tistarelli:
Pattern Recognition, Part 1 [Guest editors' introduction]. IEEE Intell. Syst. 31(2): 6-8 (2016) - [j39]Cheng-Lin Liu, Brian C. Lovell, Dacheng Tao, Massimo Tistarelli:
Pattern Recognition, Part 2. IEEE Intell. Syst. 31(3): 3-5 (2016) - [j38]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) - [j37]Yinglu Liu, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Adaptive spatial pooling for image classification. Pattern Recognit. 55: 58-67 (2016) - [j36]Yao Lu, Kaizhu Huang, Cheng-Lin Liu:
A fast projected fixed-point algorithm for large graph matching. Pattern Recognit. 60: 971-982 (2016) - [j35]Xu-Cheng Yin, Ze-Yu Zuo, Shu Tian, Cheng-Lin Liu:
Text Detection, Tracking and Recognition in Video: A Comprehensive Survey. IEEE Trans. Image Process. 25(6): 2752-2773 (2016) - [c94]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 - [c93]Yuan-Yuan Shen, Cheng-Lin Liu:
Incremental Learning Vector Quantization for Character Recognition with Local Style Consistency. BICS 2016: 228-239 - [c92]Zheng Zhang, Yong Xu, Cheng-Lin Liu:
Natural Scene Character Recognition Using Robust PCA and Sparse Representation. DAS 2016: 340-345 - [c91]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 - [c90]Ting-Bing Xu, Guangliang Cheng, Jie Yang, Cheng-Lin Liu:
Fast Aircraft Detection Using End-to-End Fully Convolutional Network. DSP 2016: 139-143 - [c89]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 - [c88]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 - [c87]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 - [c86]Jun-Yu Ye, Yan-Ming Zhang, Cheng-Lin Liu:
Joint training of conditional random fields and neural networks for stroke classification in online handwritten documents. ICPR 2016: 3264-3269 - [c85]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 - [e2]Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang:
Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings. Lecture Notes in Computer Science 10023, 2016, ISBN 978-3-319-49684-9 [contents] - [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
- [j34]Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao:
A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction. ACM Trans. Intell. Syst. Technol. 6(1): 9:1-9:26 (2015) - [j33]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) - [j32]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) - [c84]Dongdong Wang, Xinwen Hou, Cheng-Lin Liu:
Traffic sign detection from video: A fast approach with tracking. ACPR 2015: 96-100 - [c83]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 - [c82]Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu:
Task-Driven Feature Pooling for Image Classification. ICCV 2015: 1179-1187 - [c81]Yi-Chao Wu, Fei Yin, Cheng-Lin Liu:
Evaluation of neural network language models in handwritten Chinese text recognition. ICDAR 2015: 166-170 - [c80]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 - [c79]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 - [c78]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 - [e1]Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch, Jian Cheng:
Graph-Based Representations in Pattern Recognition - 10th IAPR-TC-15 International Workshop, GbRPR 2015, Beijing, China, May 13-15, 2015. Proceedings. Lecture Notes in Computer Science 9069, Springer 2015, ISBN 978-3-319-18223-0 [contents] - 2014
- [j31]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) - [j30]Da-Han Wang, Cheng-Lin Liu:
Learning confidence transformation for handwritten Chinese text recognition. Int. J. Document Anal. Recognit. 17(3): 205-219 (2014) - [j29]Adrien Delaye, Cheng-Lin Liu:
Multi-class segmentation of free-form online documents with tree conditional random fields. Int. J. Document Anal. Recognit. 17(4): 313-329 (2014) - [j28]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) - [j27]Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Unsupervised language model adaptation for handwritten Chinese text recognition. Pattern Recognit. 47(3): 1202-1216 (2014) - [j26]Heng Zhang, Da-Han Wang, Cheng-Lin Liu:
Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents. Pattern Recognit. 47(5): 1880-1890 (2014) - [j25]Xiang-Dong Zhou, Yan-Ming Zhang, Feng Tian, Hongan Wang, Cheng-Lin Liu:
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition. Pattern Recognit. 47(5): 1904-1916 (2014) - [j24]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) - [j23]Yan-Ming Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu:
Learning Locality Preserving Graph from Data. IEEE Trans. Cybern. 44(11): 2088-2098 (2014) - [c77]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 - [c76]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 - [c75]Xiaolong Liu, Yanming Zhang, Cheng-Lin Liu:
A Nonlinear Classifier Based on Factorization Machines Model. CCPR (1) 2014: 1-10 - [c74]Bo Bai, Fei Yin, Cheng-Lin Liu:
A Seed-Based Segmentation Method for Scene Text Extraction. Document Analysis Systems 2014: 262-266 - [c73]Yi-Chao Wu, Fei Yin, Cheng-Lin Liu:
Evaluation of Geometric Context Models for Handwritten Numeral String Recognition. ICFHR 2014: 193-198 - [c72]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 - [c71]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
- [j22]Qiu-Feng Wang, Erik Cambria, Cheng-Lin Liu, Amir Hussain:
Common Sense Knowledge for Handwritten Chinese Text Recognition. Cogn. Comput. 5(2): 234-242 (2013) - [j21]Heng Wang, Alexander Kläser, Cordelia Schmid, Cheng-Lin Liu:
Dense Trajectories and Motion Boundary Descriptors for Action Recognition. Int. J. Comput. Vis. 103(1): 60-79 (2013) - [j20]Gyu-Ro Park, In-Jung Kim, Cheng-Lin Liu:
An evaluation of statistical methods in handwritten hangul recognition. Int. J. Document Anal. Recognit. 16(3): 273-283 (2013) - [j19]Heng Zhang, Da-Han Wang, Cheng-Lin Liu, Horst Bunke:
Keyword Spotting from Online Chinese Handwritten Documents using One-versus-All Character Classification Model. Int. J. Pattern Recognit. Artif. Intell. 27(3) (2013) - [j18]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) - [j17]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu:
Geometry preserving multi-task metric learning. Mach. Learn. 92(1): 133-175 (2013) - [j16]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) - [j15]Xu-Yao Zhang, Cheng-Lin Liu:
Writer Adaptation with Style Transfer Mapping. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1773-1787 (2013) - [j14]Xiang-Dong Zhou, Da-Han Wang, Feng Tian, Cheng-Lin Liu, Masaki Nakagawa:
Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2413-2426 (2013) - [j13]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) - [j12]Guoqiang Zhong, Cheng-Lin Liu:
Error-correcting output codes based ensemble feature extraction. Pattern Recognit. 46(4): 1091-1100 (2013) - [j11]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) - [j10]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) - [c70]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 - [c69]Yinglu Liu, Xinwen Hou, Cheng-Lin Liu:
A Compact Spatial Feature Representation for Image Classification. ACPR 2013: 601-605 - [c68]Yao Lu, Horst Bunke, Cheng-Lin Liu:
An Algorithm for Maximum Common Subgraph of Planar Triangulation Graphs. GbRPR 2013: 162-171 - [c67]Xu-Yao Zhang, Cheng-Lin Liu:
Locally Smoothed Modified Quadratic Discriminant Function. ICDAR 2013: 8-12 - [c66]Yan-Fei Lv, Linlin Huang, Da-Han Wang, Cheng-Lin Liu:
Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting. ICDAR 2013: 74-78 - [c65]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 - [c64]Xiang-Dong Zhou, Feng Tian, Cheng-Lin Liu, Hongan Wang:
Minimum Risk Training for Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields. ICDAR 2013: 940-944 - [c63]Kai Chen, Fei Yin, Cheng-Lin Liu:
Hybrid Page Segmentation with Efficient Whitespace Rectangles Extraction and Grouping. ICDAR 2013: 958-962 - [c62]Fei Yin, Ming-Ke Zhou, Qiu-Feng Wang, Cheng-Lin Liu:
Style Consistent Perturbation for Handwritten Chinese Character Recognition. ICDAR 2013: 1051-1055 - [c61]Bo Bai, Fei Yin, Cheng-Lin Liu:
Scene Text Localization Using Gradient Local Correlation. ICDAR 2013: 1380-1384 - [c60]Fei Yin, Qiu-Feng Wang, Xu-Yao Zhang, Cheng-Lin Liu:
ICDAR 2013 Chinese Handwriting Recognition Competition. ICDAR 2013: 1464-1470 - [c59]Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Feature Transformation with Class Conditional Decorrelation. ICDM 2013: 887-896 - [c58]Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao:
Handwriting representation and recognition through a sparse projection and low-rank recovery framework. IJCNN 2013: 1-8 - [c57]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
- [j9]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) - [j8]Bo Xu, Kaizhu Huang, Cheng-Lin Liu:
Maxi-Min discriminant analysis via online learning. Neural Networks 34: 56-64 (2012) - [j7]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) - [j6]Da-Han Wang, Cheng-Lin Liu, Xiang-Dong Zhou:
An approach for real-time recognition of online Chinese handwritten sentences. Pattern Recognit. 45(10): 3661-3675 (2012) - [c56]Adrien Delaye, Cheng-Lin Liu:
Text/Non-text Classification in Online Handwritten Documents with Conditional Random Fields. CCPR 2012: 514-521 - [c55]Mayire Ibrahim, Heng Zhang, Cheng-Lin Liu, Askar Hamdulla:
An Effective Character Separation Method for Online Cursive Uyghur Handwriting. CCPR 2012: 530-538 - [c54]Bo Bai, Fei Yin, Cheng-Lin Liu:
A Fast Stroke-Based Method for Text Detection in Video. Document Analysis Systems 2012: 69-73 - [c53]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 - [c52]Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Improving Handwritten Chinese Text Recognition by Unsupervised Language Model Adaptation. Document Analysis Systems 2012: 110-114 - [c51]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 - [c50]Xu-Yao Zhang, Cheng-Lin Liu:
Confused Distance Maximization for Large Category Dimensionality Reduction. ICFHR 2012: 213-218 - [c49]Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu:
Multiple Outlooks Learning with Support Vector Machines. ICONIP (3) 2012: 116-124 - [c48]Peipei Yang, Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Manifold Regularized Multi-Task Learning. ICONIP (3) 2012: 528-536 - [c47]Heng Zhang, Da-Han Wang, Cheng-Lin Liu:
A confidence-based method for keyword spotting in online Chinese handwritten documents. ICPR 2012: 525-528 - [c46]An Lu, Xinwen Hou, Cheng-Lin Liu, Xiaolin Chen:
Insect species recognition using discriminative local soft coding. ICPR 2012: 1221-1224 - [c45]Da-Han Wang, Cheng-Lin Liu:
String-level learning of confidence transformation for Chinese handwritten text recognition. ICPR 2012: 3208-3211 - [c44]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
- [j5]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) - [c43]Xu-Yao Zhang, Cheng-Lin Liu:
Style transfer matrix learning for writer adaptation. CVPR 2011: 393-400 - [c42]Heng Wang, Alexander Kläser, Cordelia Schmid, Cheng-Lin Liu:
Action recognition by dense trajectories. CVPR 2011: 3169-3176 - [c41]Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang:
CASIA Online and Offline Chinese Handwriting Databases. ICDAR 2011: 37-41 - [c40]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 - [c39]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 - [c38]Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Improving Handwritten Chinese Text Recognition by Confidence Transformation. ICDAR 2011: 518-522 - [c37]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 - [c36]Da-Han Wang, Cheng-Lin Liu:
Dynamic Text Line Segmentation for Real-Time Recognition of Chinese Handwritten Sentences. ICDAR 2011: 931-935 - [c35]Tong-Hua Su, Cheng-Lin Liu, Xu-Yao Zhang:
Perceptron Learning of Modified Quadratic Discriminant Function. ICDAR 2011: 1007-1011 - [c34]Cheng-Lin Liu, Fei Yin, Qiu-Feng Wang, Da-Han Wang:
ICDAR 2011 Chinese Handwriting Recognition Competition. ICDAR 2011: 1464-1469 - [c33]Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu:
Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. ICDM 2011: 952-961 - [c32]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Low Rank Metric Learning with Manifold Regularization. ICDM 2011: 1266-1271 - [c31]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu:
Multi-Task Low-Rank Metric Learning Based on Common Subspace. ICONIP (2) 2011: 151-159 - [c30]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 - [c29]Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu:
Pattern Field Classification with Style Normalized Transformation. IJCAI 2011: 1621-1626 - 2010
- [j4]Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou:
Regularized margin-based conditional log-likelihood loss for prototype learning. Pattern Recognit. 43(7): 2428-2438 (2010) - [c28]Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou:
Transductive Learning on Adaptive Graphs. AAAI 2010: 661-666 - [c27]Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu:
Gaussian Process Latent Random Field. AAAI 2010: 679-684 - [c26]Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu:
Integrating Geometric Context for Text Alignment of Handwritten Chinese Documents. ICFHR 2010: 7-12 - [c25]Heng Zhang, Da-Han Wang, Cheng-Lin Liu:
Keyword Spotting from Online Chinese Handwritten Documents Using One-vs-All Trained Character Classifier. ICFHR 2010: 271-276 - [c24]Xiang-Dong Zhou, Da-Han Wang, Masaki Nakagawa, Cheng-Lin Liu:
Error Reduction by Confusing Characters Discrimination for Online Handwritten Japanese Character Recognition. ICFHR 2010: 495-500 - [c23]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 - [c22]Xiao-Hua Liu, Cheng-Lin Liu:
Discriminative Training of Subspace Gaussian Mixture Model for Pattern Classification. ICIC (1) 2010: 213-221 - [c21]Yi-Feng Pan, Cheng-Lin Liu, Xinwen Hou:
Fast scene text localization by learning-based filtering and verification. ICIP 2010: 2269-2272 - [c20]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Learning ECOC and Dichotomizers Jointly from Data. ICONIP (1) 2010: 494-502 - [c19]Xiaobo Jin, Xinwen Hou, Cheng-Lin Liu:
Multi-class AdaBoost with Hypothesis Margin. ICPR 2010: 65-68 - [c18]Bo Xu, Kaizhu Huang, Cheng-Lin Liu:
Dimensionality Reduction by Minimal Distance Maximization. ICPR 2010: 569-572 - [c17]Heng Wang, Xinwen Hou, Cheng-Lin Liu:
Boosting Incremental Semi-supervised Discriminant Analysis for Tracking. ICPR 2010: 2748-2751 - [c16]Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu:
Robust Metric Learning by Smooth Optimization. UAI 2010: 244-251
2000 – 2009
- 2009
- [j3]Xiang-Dong Zhou, Da-Han Wang, Cheng-Lin Liu:
A robust approach to text line grouping in online handwritten Japanese documents. Pattern Recognit. 42(9): 2077-2088 (2009) - [j2]Fei Yin, Cheng-Lin Liu:
Handwritten Chinese text line segmentation by clustering with distance metric learning. Pattern Recognit. 42(12): 3146-3157 (2009) - [j1]Cheng-Lin Liu, Ching Y. Suen:
A new benchmark on the recognition of handwritten Bangla and Farsi numeral characters. Pattern Recognit. 42(12): 3287-3295 (2009) - [c15]Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu:
Text Localization in Natural Scene Images Based on Conditional Random Field. ICDAR 2009: 6-10 - [c14]Fei Yin, Cheng-Lin Liu:
A Variational Bayes Method for Handwritten Text Line Segmentation. ICDAR 2009: 436-440 - [c13]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 - [c12]Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Integrating Language Model in Handwritten Chinese Text Recognition. ICDAR 2009: 1036-1040 - [c11]Da-Han Wang, Cheng-Lin Liu, Jin-Lun Yu, Xiang-Dong Zhou:
CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters. ICDAR 2009: 1206-1210 - [c10]Heng Wang, Xinwen Hou, Cheng-Lin Liu:
Object tracking by bidirectional learning with feature selection. ICIP 2009: 893-896 - [c9]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
- [c8]Cheng-Lin Liu:
Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes. ANNPR 2008: 137-146 - [c7]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 - [c6]Xiang-Dong Zhou, Da-Han Wang, Cheng-Lin Liu:
Grouping Text Lines in Online Handwritten Japanese Documents by Combining Temporal and Spatial Information. Document Analysis Systems 2008: 61-68 - [c5]Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou:
Prototype learning with margin-based conditional log-likelihood loss. ICPR 2008: 1-4 - [c4]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
- [c3]Xinwen Hou, Cheng-Lin Liu, Tieniu Tan:
Learning Boosted Asymmetric Classifiers for Object Detection. CVPR (1) 2006: 330-338 - [c2]Cheng-Lin Liu:
Handwritten Chinese Character Recognition: Effects of Shape Normalization and Feature Extraction. SACH 2006: 104-128 - [c1]Cheng-Lin Liu:
Polynomial Network Classifier with Discriminative Feature Extraction. SSPR/SPR 2006: 732-740
Coauthor Index
[j121] [e63] [e62] [e61] [e60] [e59] [e58] [e57] [e56] [e55] [e54] [e53] [e52] [e51] [e50] [e49] [e48] [e47] [e46] [e45] [e44] [e43] [e42] [e41] [e40] [e39] [e38] [e37] [e36] [e35] [e34] [e33] [e32] [e31] [e30] [j115] [c189] [j109] [j98] [j97] [c183] [j87] [c169] [c165] [c163] [j74] [c157] [c123] [i12] [c99]
Palaiahnakote Shivakumara
aka: Shivakumara Palaiahnakote
aka: Shivakumara Palaiahnakote
Wushour Slamu
aka: Wushouer Silamu
aka: Wushouer Silamu
Dahan Wang
aka: Da-Han Wang
aka: Da-Han Wang
[j119] [j118] [j116] [j113] [j111] [c195] [c194] [c188] [c186] [i48] [i44] [i37] [i36] [j102] [j99] [j94] [c185] [c184] [c179] [c178] [c173] [c172] [i29] [i20] [j91] [j88] [j86] [j84] [j83] [c168] [c167] [c166] [c164] [c161] [i18] [i16] [j79] [c160] [c158] [c156] [c155] [c154] [c153] [c152] [c144] [i15] [j71] [j66] [j65] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [i13] [c131] [c129] [c128] [c126] [j56] [j52] [j51] [c119] [c118] [c117] [c116] [c115] [c113] [c112] [c111] [c110] [i11] [i10] [j46] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c96] [i8] [i7] [j38] [c91] [c89] [c87] [c85] [i3] [c83] [c81] [c80] [c79] [j31] [j27] [c74] [c73] [c72] [j18] [j13] [j10] [c65] [c63] [c62] [c61] [c60] [j7] [c54] [c53] [c52] [c51] [c41] [c40] [c39] [c38] [c37] [c34] [c26] [j2] [c14] [c13] [c12]
[j123] [j120] [j118] [j117] [j114] [j111] [c193] [c192] [c191] [c190] [c187] [i49] [i47] [i46] [i45] [i44] [i40] [i39] [i35] [i34] [i33] [i32] [i31] [i30] [j110] [j108] [j107] [j106] [j105] [j103] [j101] [j100] [c181] [i28] [i27] [i26] [i25] [i22] [i21] [j91] [j89] [j86] [j84] [j81] [c170] [i19] [i18] [j79] [c160] [c159] [c156] [c155] [c154] [c153] [c150] [c149] [c148] [c143] [i15] [j71] [j70] [j68] [j67] [j66] [j65] [c142] [c137] [c136] [c135] [i14] [i13] [j58] [c131] [c128] [c126] [j52] [j51] [c119] [c115] [c110] [i11] [i10] [j49] [j47] [j45] [j43] [j42] [c109] [c107] [c100] [c97] [c95] [i8] [i7] [j38] [j37] [c94] [c89] [c88] [c85] [i6] [i4] [i3] [j32] [c82] [j24] [c77] [c76] [c72] [c71] [j15] [j11] [c67] [c60] [c59] [c50] [c49] [c48] [c43] [c35] [c29]
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