Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChenglin Liu
Cheng-Lin Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j181]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Guest Editorial: Special Issue on Advances in Computer Vision and Applications (ACCV 2020). Int. J. Comput. Vis. 131(2): 406 (2023)- [j180]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) - [j179]Xue Chen
, Yi Huang, Liang Jiang, Qing Sun, Yuan Tian, Zhixiong Zhou, Jun Yin, Yan Gao, Chenglin Liu, Bo Huo:
Bilateral upper extremity trunk model for cross-country sit-skiing double poling propulsion: model development and validation. Medical Biol. Eng. Comput. 61(2): 445-455 (2023) - [j178]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) - [j177]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) - [j176]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) - [j175]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) - [j174]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) - [j173]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Adversarial training with distribution normalization and margin balance. Pattern Recognit. 136: 109182 (2023) - [j172]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) - [j171]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) - [j170]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) - [j169]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) - [j168]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) - [j167]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) - [j166]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) - [c285]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 - [c284]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Interpolation Kernel Machines: Reducing Multiclass to Binary. CAIP (1) 2023: 174-184 - [c283]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
OpenMix: Exploring Outlier Samples for Misclassification Detection. CVPR 2023: 12074-12083 - [c282]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification. GbRPR 2023: 3-14 - [c281]Yi-Ming Chen, Xiangting Hou, Dongfang Lou, Zhilin Liao, Cheng-Lin Liu:
DAMGCN: Entity Linking in Visually Rich Documents with Dependency-Aware Multimodal Graph Convolutional Network. ICDAR (3) 2023: 33-47 - [c280]Yi Chen, Heng Zhang, Cheng-Lin Liu:
Improved Learning for Online Handwritten Chinese Text Recognition with Convolutional Prototype Network. ICDAR (4) 2023: 38-53 - [c279]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 - [c278]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 - [c277]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 - [c276]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 - [c275]Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu:
A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. IJCAI 2023: 3374-3382 - [i31]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) - [i30]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) - [i29]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. CoRR abs/2303.02970 (2023) - [i28]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) - [i27]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
OpenMix: Exploring Outlier Samples for Misclassification Detection. CoRR abs/2303.17093 (2023) - [i26]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) - [i25]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) - [i24]Jiao Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Towards Reliable Domain Generalization: A New Dataset and Evaluations. CoRR abs/2309.06142 (2023) - 2022
- [j165]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) - [j164]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) - [j163]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) - [j162]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) - [j161]Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu:
Cross-modal prototype learning for zero-shot handwritten character recognition. Pattern Recognit. 131: 108859 (2022) - [j160]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) - [j159]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) - [j158]He Li, Cheng-Lin Liu, Ya Zhang, Yang-Yang Chen:
Corrections to "Practical Fixed-Time Consensus Tracking for Multiple Euler-Lagrange Systems With Stochastic Packet Losses and Input/Output Constraints". IEEE Syst. J. 16(1): 1709 (2022) - [j157]He Li, Cheng-Lin Liu, Ya Zhang, Yang-Yang Chen:
Practical Fixed-Time Consensus Tracking for Multiple Euler-Lagrange Systems With Stochastic Packet Losses and Input/Output Constraints. IEEE Syst. J. 16(4): 6185-6196 (2022) - [j156]Xiang Li, Yuchen Jiang, Chenglin Liu, Shaochong Liu, Hao Luo, Shen Yin:
Playing Against Deep-Neural-Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach. IEEE Trans. Artif. Intell. 3(1): 20-28 (2022) - [j155]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) - [j154]Yu-Ling Li, Cheng-Lin Liu, Ya Zhang, Yang-Yang Chen:
Distributed fixed-time average-tracking for multi-agent systems with mismatched and matched disturbances. Trans. Inst. Meas. Control 44(12): 2323-2335 (2022) - [j153]Mei Wang, Weihong Deng, Cheng-Lin Liu:
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. IEEE Trans. Image Process. 31: 3137-3150 (2022) - [j152]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) - [j151]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) - [j150]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) - [j149]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) - [j148]Yang-Yang Chen, Xiang Ai, Jiandong Zhu, Ya Zhang, Cheng-Lin Liu:
Spherical Orbit Tracking and Formation Flying for Nonholonomic Aircraft-Like Vehicles With Directed Interactions and Unknown Disturbances. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5362-5367 (2022) - [c274]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. ECCV (25) 2022: 518-536 - [c273]Yuan-Jun Yu, Cheng-Lin Liu:
Practical Fixed-time Distributed Average-tracking for Second-order Multiagent Systems. ICARCV 2022: 808-813 - [c272]He Li, Cheng-Lin Liu, Ya Zhang, Yang-Yang Chen:
Adaptive Fixed-time Bipartite Consensus Tracking for Multiple Euler-Lagrange Systems Under Asymmetric Input Constraint. ICCA 2022: 642-647 - [c271]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 - [c270]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 - [c269]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 - [c268]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 - [c267]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 - [c266]Zhen Xu, Fei Yin, Peipei Yang, Cheng-Lin Liu:
Document Image Rectification in Complex Scene Using Stacked Siamese Networks. ICPR 2022: 1550-1556 - [c265]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 - [c264]Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification. ICPRAI (2) 2022: 467-479 - [c263]Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu:
Plane Geometry Diagram Parsing. IJCAI 2022: 1636-1643 - [c262]ZhongShuai Qin, Yanyong Su, Ruiran Liu, Chenglin Liu:
Codebook Optimization Design of Serial Encoding SCMA System. ISNCC 2022: 1-4 - [i23]Yuqi Wang, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang:
Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks. CoRR abs/2201.05489 (2022) - [i22]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Document Dewarping with Control Points. CoRR abs/2203.10543 (2022) - [i21]Mei Wang, Weihong Deng, Cheng-Lin Liu:
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. CoRR abs/2205.06549 (2022) - [i20]Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu:
Plane Geometry Diagram Parsing. CoRR abs/2205.09363 (2022) - [i19]Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu:
Replacing Backpropagation with Biological Plausible Top-down Credit Assignment in Deep Neural Networks Training. CoRR abs/2208.01416 (2022) - 2021
- [j147]Mingyang Huang, Chenglin Liu, Liang Shan:
Containment Control of First-Order Multi-Agent Systems under PI Coordination Protocol. Algorithms 14(7): 209 (2021) - [j146]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) - [j145]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) - [j144]Cong Wang, Cheng-Lin Liu:
Multi-branch guided attention network for irregular text recognition. Neurocomputing 425: 278-289 (2021) - [j143]Cheng-Lin Liu, He Li, Liang Shan:
Stationary average-tracking problem of unmatched constant reference signals based on delayed-state feedback. Int. J. Syst. Sci. 52(13): 2725-2734 (2021) - [j142]Chenglin Liu, Xiaohua Wang, Qiang Zhang, Dongliang Chen, Juncai Dong:
Studies on Location of Acupoints with X-ray Fluorescence Analysis Based on Synchrotron Radiation. J. Medical Imaging Health Informatics 11(8): 2178-2183 (2021) - [j141]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) - [j140]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) - [j139]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) - [j138]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) - [j137]Yu Shang, Cheng-Lin Liu, Ke-Cai Cao:
Event-triggered consensus control of second-order nonlinear multi-agent systems under denial-of-service attacks. Trans. Inst. Meas. Control 43(10) (2021) - [j136]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) - [c261]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 - [c260]Hao-Ru Tan, Chuang Wang, Si-Tong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Proxy Graph Matching with Proximal Matching Networks. AAAI 2021: 9808-9815 - [c259]Zhan Zhang, Yun-Tian Wang, Bang Li, An Guo, Cheng-Lin Liu:
Deep Rejoining Model for Oracle Bone Fragment Image. ACPR (2) 2021: 3-15 - [c258]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 - [c257]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 - [c256]Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Semantic-Aware Video Text Detection. CVPR 2021: 1695-1705 - [c255]Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu:
Prototype Augmentation and Self-Supervision for Incremental Learning. CVPR 2021: 5871-5880 - [c254]Shenglan Chu, Mengyao Liu, Bowen Wang, Huan Zhao, Chenglin Liu, Jiayi Guo, Bin Zhao:
Dynamics analysis and countermeasures of covid-19 epidemic. ICAIIS 2021: 127:1-127:8 - [c253]Yichi Li, Shenglan Chu, Huan Zhao, Fumei Rong, Chenglin Liu, Suling Zhao, Zhen Wang, Zhouqiang Xiong:
Rapid Prediction and Evaluation of COVID-19 Epidemic in the United States Based on Feature Selection and Improved ARIMAX Model. ICAIIS 2021: 299:1-299:8 - [c252]Xiao-Hui Li, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Adaptive Scaling for Archival Table Structure Recognition. ICDAR (1) 2021: 80-95 - [c251]Likun Gao, Heng Zhang, Cheng-Lin Liu:
Handwritten Text Recognition with Convolutional Prototype Network and Most Aligned Frame Based CTC Training. ICDAR (1) 2021: 205-220 - [c250]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Document Dewarping with Control Points. ICDAR (1) 2021: 466-480 - [c249]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 - [c248]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 - [c247]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 - [c246]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 - [c245]Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Calibration for Non-Exemplar Based Class-Incremental Learning. ICME 2021: 1-6 - [c244]Yongyu Xiong, Peipei Yang, Cheng-Lin Liu:
One-Stage Open Set Object Detection with Prototype Learning. ICONIP (1) 2021: 279-291 - [c243]Likun Gao, Heng Zhang, Cheng-Lin Liu:
Regularizing CTC in Expectation-Maximization Framework with Application to Handwritten Text Recognition. IJCNN 2021: 1-7 - [c242]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 - [c241]Deli Yu, Peipei Yang, Cheng-Lin Liu:
Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression. MIPR 2021: 42-48 - [c240]Yunfei Guo, Wei Feng, Fei Yin, Tao Xue, Shuqi Mei, Cheng-Lin Liu:
Learning to Understand Traffic Signs. ACM Multimedia 2021: 2076-2084 - [c239]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Chenglin Liu:
Class-Incremental Learning via Dual Augmentation. NeurIPS 2021: 14306-14318 - [c238]Yanbo Wang, Chenglin Liu:
Dynamic Integral Sliding Mode for Vehicle Platoon Control with Constant Time Headway Policy. ROBIO 2021: 1479-1484 - [e20]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12622, Springer 2021, ISBN 978-3-030-69524-8 [contents] - [e19]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12623, Springer 2021, ISBN 978-3-030-69531-6 [contents] - [e18]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III. Lecture Notes in Computer Science 12624, Springer 2021, ISBN 978-3-030-69534-7 [contents] - [e17]