Ramprasaath R. Selvaraju

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Georgia Institute of Technology

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Virginia Polytechnic Institute and State University

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Salesforce

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∙ 08/03/2022

TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation

Text-VQA aims at answering questions that require understanding the text...

Jun Wang, et al. ∙

∙ 04/23/2022

Can domain adaptation make object recognition work for everyone?

Despite the rapid progress in deep visual recognition, modern computer v...

Viraj Prabhu, et al. ∙

∙ 12/14/2021

CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations

We propose CLIP-Lite, an information efficient method for visual represe...

Aman Shrivastava, et al. ∙

∙ 12/01/2021

PreViTS: Contrastive Pretraining with Video Tracking Supervision

Videos are a rich source for self-supervised learning (SSL) of visual re...

Brian Chen, et al. ∙

∙ 07/16/2021

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

Large-scale vision and language representation learning has shown promis...

Junnan Li, et al. ∙

∙ 12/08/2020

CASTing Your Model: Learning to Localize Improves Self-Supervised Representations

Recent advances in self-supervised learning (SSL) have largely closed th...

Ramprasaath R. Selvaraju, et al. ∙

∙ 10/20/2020

SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency

Recent research in Visual Question Answering (VQA) has revealed state-of...

Sameer Dharur, et al. ∙

∙ 01/20/2020

SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions

Existing VQA datasets contain questions with varying levels of complexit...

Ramprasaath R. Selvaraju, et al. ∙

∙ 03/19/2019

Trick or TReAT: Thematic Reinforcement for Artistic Typography

An approach to make text visually appealing and memorable is semantic re...

Purva Tendulkar, et al. ∙

∙ 02/11/2019

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

Many vision and language models suffer from poor visual grounding - ofte...

Ramprasaath R. Selvaraju, et al. ∙

∙ 08/08/2018

Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

Individual neurons in convolutional neural networks supervised for image...

Ramprasaath R. Selvaraju, et al. ∙

∙ 11/22/2016

Grad-CAM: Why did you say that?

We propose a technique for making Convolutional Neural Network (CNN)-bas...

Ramprasaath R. Selvaraju, et al. ∙

∙ 10/07/2016

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

We propose a technique for producing "visual explanations" for decisions...

Ramprasaath R. Selvaraju, et al. ∙

∙ 04/12/2016

Counting Everyday Objects in Everyday Scenes

We are interested in counting the number of instances of object classes ...

Prithvijit Chattopadhyay, et al. ∙