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10/13/2022
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting
Large pre-trained models have proved to be remarkable zero- and (prompt-...
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03/29/2022
Image Retrieval from Contextual Descriptions
The ability to integrate context, including perceptual and temporal cues...
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09/28/2020
Static and Dynamic Measures of Active Music Listening as Indicators of Depression Risk
Music, an integral part of our lives, which is not only a source of ente...
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07/26/2020
Tag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk
Musical preferences have been considered a mirror of the self. In this a...
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11/14/2019
Question-Conditioned Counterfactual Image Generation for VQA
While Visual Question Answering (VQA) models continue to push the state-...
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07/16/2019
Explaining Classifiers with Causal Concept Effect (CaCE)
How can we understand classification decisions made by deep neural nets?...
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04/16/2019
Counterfactual Visual Explanations
A counterfactual query is typically of the form 'For situation X, why wa...
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12/02/2016
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Problems at the intersection of vision and language are of significant i...
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08/31/2016
Towards Transparent AI Systems: Interpreting Visual Question Answering Models
Deep neural networks have shown striking progress and obtained state-of-...
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04/07/2016
Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes
We present an approach to simultaneously perform semantic segmentation a...
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11/16/2015
Yin and Yang: Balancing and Answering Binary Visual Questions
The complex compositional structure of language makes problems at the in...
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06/12/2015
