4 citations · 5 across the 5 of their papers we have counts for
9 papers
VQA with Cascade of Self- and Co-Attention Blocks
Aakansha Mishra, Ashish Anand, Prithwijit Guha
The use of complex attention modules has improved the performance of the Visual Question Answering (VQA) task. This work aims to learn an improved multi-modal representation throug…
Facial Keypoint Sequence Generation from Audio
Prateek Manocha, Prithwijit Guha
Whenever we speak, our voice is accompanied by facial movements and expressions. Several recent works have shown the synthesis of highly photo-realistic videos of talking faces, bu…
IQ-VQA: Intelligent Visual Question Answering
Vatsal Goel, Mohit Chandak, Ashish Anand +1
Even though there has been tremendous progress in the field of Visual Question Answering, models today still tend to be inconsistent and brittle. To this end, we propose a model-in…
CQ-VQA: Visual Question Answering on Categorized Questions
Aakansha Mishra, Ashish Anand, Prithwijit Guha
This paper proposes CQ-VQA, a novel 2-level hierarchical but end-to-end model to solve the task of visual question answering (VQA). The first level of CQ-VQA, referred to as questi…
Time-Frequency Audio Features for Speech-Music Classification
Mrinmoy Bhattacharjee, S. R. M. Prasanna, Prithwijit Guha
Distinct striation patterns are observed in the spectrograms of speech and music. This motivated us to propose three novel time-frequency features for speech-music classification.…
Reinforcement Learning via Recurrent Convolutional Neural Networks
Tanmay Shankar, Santosha K. Dwivedy, Prithwijit Guha
Deep Reinforcement Learning has enabled the learning of policies for complex tasks in partially observable environments, without explicitly learning the underlying model of the tas…