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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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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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06/16/2022
MixGen: A New Multi-Modal Data Augmentation
Data augmentation is a necessity to enhance data efficiency in deep lear...
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03/30/2022
Towards Differential Relational Privacy and its use in Question Answering
Memorization of the relation between entities in a dataset can lead to p...
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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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12/01/2020
Towards Good Practices in Self-supervised Representation Learning
Self-supervised representation learning has seen remarkable progress in ...
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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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11/28/2019
Unbiased Evaluation of Deep Metric Learning Algorithms
Deep metric learning (DML) is a popular approach for images retrieval, s...
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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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11/19/2018
Scalable Logo Recognition using Proxies
Logo recognition is the task of identifying and classifying logos. Logo ...
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09/26/2017
