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ORCID2nd WML@ICDAR 2019: Sydney, Australia
- Second International Workshop on Machine Learning, WML@ICDAR 2019, Sydney, Australia, September 22-25, 2019. IEEE 2019, ISBN 978-1-7281-5054-3
- Christopher Tensmeyer, Tony R. Martinez:
Robust Keypoint Detection. 1-7 - Haoran Liu, Anna Zhu:
Synthesizing Scene Text Images for Recognition with Style Transfer. 8-13 - Chetan Ralekar
, Shubham Choudhary, Tapan Kumar Gandhi, Santanu Chaudhury:
Intelligent Identification of Ornamental Devanagari Characters Inspired by Visual Fixations. 14-19 - Hiroki Tanioka:
A Fast Content-Based Image Retrieval Method Using Deep Visual Features. 20-23 - Rajkumar Saini, Pradeep Kumar, Shweta Patidar, Partha Pratim Roy, Marcus Liwicki:
Trilingual 3D Script Identification and Recognition using Leap Motion Sensor. 24-28 - Manuel Carbonell, Joan Mas, Mauricio Villegas, Alicia Fornés, Josep Lladós:
End-to-End Handwritten Text Detection and Transcription in Full Pages. 29-34 - Jonathan Chung, Thomas Delteil:
A Computationally Efficient Pipeline Approach to Full Page Offline Handwritten Text Recognition. 35-40 - Srivastava Divya, Gaurav Harit:
Associating Field Components in Heterogeneous Handwritten form Images using Graph Autoencoder. 41-46 - Amandus Krantz, Florian Westphal:
Cluster-Based Sample Selection for Document Image Binarization. 47-52 - Chandra Sekhar Vorugunti, Anoushka Doctor, Prerana Mukherjee, Viswanath Pulabaigari:
A Light Weight and Hybrid Deep Learning Model Based Online Signature Verification. 53-58 - Eman Eman, Syed Saqib Bukhari, Martin Jenckel, Andreas Dengel:
Cursive Script Textline Image Transformation for Improving OCR Accuracy. 59-64 - Denis Coquenet, Yann Soullard, Clément Chatelain, Thierry Paquet:
Have Convolutions Already Made Recurrence Obsolete for Unconstrained Handwritten Text Recognition? 65-70 - Qingqing Wang, Wenjing Jia, Xiangjian He, Yue Lu, Michael Blumenstein, Ye Huang, Shujing Lyu:
ReELFA: A Scene Text Recognizer with Encoded Location and Focused Attention. 71-76 - Hongjian Zhan, Shujing Lyu, Umapada Pal, Yue Lu:
CNN-Based Hindi Numeral String Recognition for Indian Postal Automation. 77-82 - Xianbiao Qi, Yihao Chen, Rong Xiao, Chun-Guang Li, Qin Zou, Shuguang Cui:
A Novel Joint Character Categorization and Localization Approach for Character-Level Scene Text Recognition. 83-90 - Qi Song, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Xi Liu, Haozong Wang, Dong Wang:
Reading Chinese Scene Text with Arbitrary Arrangement Based on Character Spotting. 91-96 - Viviana Beltrán, Nicholas Journet, Mickaël Coustaty, Antoine Doucet:
Semantic Text Recognition via Visual Question Answering. 97-102 - Marco Wrzalik, Dirk Krechel:
Balanced Word Clusters for Interpretable Document Representation. 103-109 - Ishani Joshi, Purvi A. Koringa, Suman K. Mitra:
Word Embeddings in Low Resource Gujarati Language. 110-115 - Khurram Azeem Hashmi, Rakshith Bymana Ponnappa, Syed Saqib Bukhari, Martin Jenckel, Andreas Dengel:
Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information. 116-121 - Changjie Wu, Zi-Rui Wang, Jun Du, Jianshu Zhang, Jia-Ming Wang:
Joint Spatial and Radical Analysis Network For Distorted Chinese Character Recognition. 122-127 - Romain Karpinski, Abdel Belaïd:
Semi-Supervised Learning through Adversary Networks for Baseline Detection. 128-133 - Chun-Chieh Chang, Ashish Arora, Leibny Paola García-Perera, David Etter, Daniel Povey, Sanjeev Khudanpur:
Optical Character Recognition with Chinese and Korean Character Decomposition. 134-139 - Zongyi Joe Liu, Bruce Ferry, Simon Lacasse:
A Deep Neural Network to Detect Keyboard Regions and Recognize Isolated Characters. 140-145 - Vinaychandran Pondenkandath, Michele Alberti, Michaël Diatta, Rolf Ingold, Marcus Liwicki:
Historical Document Synthesis with Generative Adversarial Networks. 146-151 - Mohammad Mohsin Reza, Syed Saqib Bukhari, Martin Jenckel, Andreas Dengel:
Table Localization and Segmentation using GAN and CNN. 152-157 - Martin Holecek, Antonín Hoskovec, Petr Baudis, Pavel Klinger:
Table Understanding in Structured Documents. 158-164 - Lina Zheng, Ting Zhang, Xinguo Yu:
Recognition of Handwritten Chemical Organic Ring Structure Symbols Using Convolutional Neural Networks. 165-168 - Vinodh Kumar Ravindranath, Devashish Deshpande, K. Venkata Vijay Girish, Darshan Patel, Neel Jambhekar, Vikash Singh:
Inferring Structure and Meaning of Semi-Structured Documents by using a Gibbs Sampling Based Approach. 169-174
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