1 citations · 1 across the 2 of their papers we have counts for
5 papers
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters
Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth
Research has shown that personality is a key driver to improve engagement and user experience in conversational systems. Conversational agents should also maintain a consistent per…
Monitoring of people entering and exiting private areas using Computer Vision
Vinay Kumar, P Nagabhushan
Entry-Exit surveillance is a novel research problem that addresses security concerns when people attain absolute privacy in camera forbidden areas such as toilets and changing room…
Appearance invariant Entry-Exit matching using visual soft biometric traits
Vinay Kumar, P Nagabhushan
The problem of appearance invariant subject recognition for Entry-Exit surveillance applications is addressed. A novel Semantic Entry-Exit matching model that makes use of ancillar…
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary +3
This paper presents the submissions by Team Dr.Quad to the ACL-BioNLP 2019 shared task on Textual Inference and Question Entailment in the Medical Domain. Our system is based on th…
WriterForcing: Generating more interesting story endings
Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani +1
We study the problem of generating interesting endings for stories. Neural generative models have shown promising results for various text generation problems. Sequence to Sequence…