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Contrast and Classify: Alternate Training for Robust VQA
Recent Visual Question Answering (VQA) models have shown impressive perf...
10/13/2020 ∙ by Yash Kant, et al. ∙
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Spatially Aware Multimodal Transformers for TextVQA
Textual cues are essential for everyday tasks like buying groceries and ...
07/23/2020 ∙ by Yash Kant, et al. ∙
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Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
Diverse and accurate vision+language modeling is an important goal to re...
08/22/2019 ∙ by Jyoti Aneja, et al. ∙
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EvalAI: Towards Better Evaluation Systems for AI Agents
We introduce EvalAI, an open source platform for evaluating and comparin...
02/10/2019 ∙ by Deshraj Yadav, et al. ∙
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nocaps: novel object captioning at scale
Image captioning models have achieved impressive results on datasets con...
12/20/2018 ∙ by Harsh Agrawal, et al. ∙
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Fabrik: An Online Collaborative Neural Network Editor
We present Fabrik, an online neural network editor that provides tools t...
10/27/2018 ∙ by Utsav Garg, et al. ∙
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Sort Story: Sorting Jumbled Images and Captions into Stories
Temporal common sense has applications in AI tasks such as QA, multi-doc...
06/23/2016 ∙ by Harsh Agrawal, et al. ∙
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Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
We conduct large-scale studies on `human attention' in Visual Question A...
06/17/2016 ∙ by Abhishek Das, et al. ∙
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CloudCV: Large Scale Distributed Computer Vision as a Cloud Service
We are witnessing a proliferation of massive visual data. Unfortunately ...
06/12/2015 ∙ by Harsh Agrawal, et al. ∙
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