53 citations · 60 across the 10 of their papers we have counts for
6 papers · 1 filter
Deep Exemplar Networks for VQA and VQG
Badri N. Patro, Vinay P. Namboodiri
In this paper, we consider the problem of solving semantic tasks such as `Visual Question Answering' (VQA), where one aims to answers related to an image and `Visual Question Gener…
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
Badri N. Patro, Anupriy, Vinay P. Namboodiri
In this paper, we aim to obtain improved attention for a visual question answering (VQA) task. It is challenging to provide supervision for attention. An observation we make is tha…
Probabilistic framework for solving Visual Dialog
Badri N. Patro, Anupriy, Vinay P. Namboodiri
In this paper, we propose a probabilistic framework for solving the task of `Visual Dialog'. Solving this task requires reasoning and understanding of visual modality, language mod…
Dynamic Attention Networks for Task Oriented Grounding
Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri
In order to successfully perform tasks specified by natural language instructions, an artificial agent operating in a visual world needs to map words, concepts, and actions from th…
Granular Multimodal Attention Networks for Visual Dialog
Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri
Vision and language tasks have benefited from attention. There have been a number of different attention models proposed. However, the scale at which attention needs to be applied…
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps
Badri N. Patro, Mayank Lunayach, Shivansh Patel +1
Understanding and explaining deep learning models is an imperative task. Towards this, we propose a method that obtains gradient-based certainty estimates that also provide visual…