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07/16/2023
DocTr: Document Transformer for Structured Information Extraction in Documents
We present a new formulation for structured information extraction (SIE)...
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06/02/2023
DocFormerv2: Local Features for Document Understanding
We propose DocFormerv2, a multi-modal transformer for Visual Document Un...
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02/14/2023
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation
In this work, instead of directly predicting the pixel-level segmentatio...
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11/15/2022
YORO – Lightweight End to End Visual Grounding
We present YORO - a multi-modal transformer encoder-only architecture fo...
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08/05/2022
GLASS: Global to Local Attention for Scene-Text Spotting
In recent years, the dominant paradigm for text spotting is to combine t...
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02/11/2022
Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer
Text spotting end-to-end methods have recently gained attention in the l...
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12/23/2021
LaTr: Layout-Aware Transformer for Scene-Text VQA
We propose a novel multimodal architecture for Scene Text Visual Questio...
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06/22/2021
DocFormer: End-to-End Transformer for Document Understanding
We present DocFormer – a multi-modal transformer based architecture for ...
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08/20/2020
Document Visual Question Answering Challenge 2020
This paper presents results of Document Visual Question Answering Challe...
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07/01/2020
DocVQA: A Dataset for VQA on Document Images
We present a new dataset for Visual Question Answering on document image...
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04/30/2020
Improving Semantic Segmentation via Self-Training
Deep learning usually achieves the best results with complete supervisio...
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04/19/2020
ResNeSt: Split-Attention Networks
While image classification models have recently continued to advance, mo...
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03/25/2020
SCATTER: Selective Context Attentional Scene Text Recognizer
Scene Text Recognition (STR), the task of recognizing text against compl...
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02/12/2020
Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss
We propose a new end-to-end trainable model for lossy image compression ...
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08/09/2019
Human Perceptual Evaluations for Image Compression
Recently, there has been much interest in deep learning techniques to do...
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07/18/2019
Deep Perceptual Compression
Several deep learned lossy compression techniques have been proposed in ...
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07/04/2019
Searching for Apparel Products from Images in the Wild
In this age of social media, people often look at what others are wearin...
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12/02/2017
Compressed Video Action Recognition
Training robust deep video representations has proven to be much more ch...
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06/23/2017
