Please see the Schedule page for the Oral and Poster sessions.
| Paper Title |
| READ: Recursive Autoencoders for Document Layout Generation (Best Paper Award) |
| A method for detecting text of arbitrary shapes in natural scenes that improves text spotting |
| Textual Visual Semantic Dataset for Text Spotting |
| On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention |
| A Large Dataset of Historical Japanese Documents with Complex Layouts |
| An Accurate Segmentation-Based Scene Text Detector with Context Attention and Repulsive Text Border |
| Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks |
| Optical Braille Recognition Based on Semantic Segmentation Network with Auxiliary Learning Strategy |
| Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime |
| Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction |
| An OCR for Classical Indic Documents Containing Arbitrarily Long Words |
| Visual and Textual Deep Feature Fusion for Document Image Classification |
| CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks |
| Recognizing handwritten mathematical expressions via paired dual loss attention network and printed mathematical expressions |
| Symbol Spotting on Digital Architectural Floor Plans Using a Deep Learning-based Framework |
| Visual Parsing with Query-Driven Global Graph Attention (QD-GGA): Preliminary Results for Handwritten Math Formula Recognition |
| CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents |
Contact
Email: cvpr2020.document.workshop [at] gmail.com
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