33 citations · 81 across the 13 of their papers we have counts for
17 papers
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights
Devaraja Adiga, Rishabh Kumar, Amrith Krishna +3
Automatic speech recognition (ASR) in Sanskrit is interesting, owing to the various linguistic peculiarities present in the language. The Sanskrit language is lexically productive,…
LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos
Sai Praneeth Reddy Sunkesula, Rishabh Dabral, Ganesh Ramakrishnan
Analyzing the interactions between humans and objects from a video includes identification of the relationships between humans and the objects present in the video. It can be thoug…
Data Programming using Continuous and Quality-Guided Labeling Functions
Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi
Scarcity of labeled data is a bottleneck for supervised learning models. A paradigm that has evolved for dealing with this problem is data programming. An existing data programming…
Question Generation from Paragraphs: A Tale of Two Hierarchical Models
Vishwajeet Kumar, Raktim Chaki, Sai Teja Talluri +3
Automatic question generation from paragraphs is an important and challenging problem, particularly due to the long context from paragraphs. In this paper, we propose and study two…
Multi-Person 3D Human Pose Estimation from Monocular Images
Rishabh Dabral, Nitesh B Gundavarapu, Rahul Mitra +3
Multi-person 3D human pose estimation from a single image is a challenging problem, especially for in-the-wild settings due to the lack of 3D annotated data. We propose HG-RCNN, a…
ParaQG: A System for Generating Questions and Answers from Paragraphs
Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan +1
Generating syntactically and semantically valid and relevant questions from paragraphs is useful with many applications. Manual generation is a labour-intensive task, as it require…
Tale of tails using rule augmented sequence labeling for event extraction
Ayush Maheshwari, Hrishikesh Patel, Nandan Rathod +3
The problem of event extraction is a relatively difficult task for low resource languages due to the non-availability of sufficient annotated data. Moreover, the task becomes compl…
Cross-Lingual Training for Automatic Question Generation
Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee +2
Automatic question generation (QG) is a challenging problem in natural language understanding. QG systems are typically built assuming access to a large number of training instance…
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance
Vishal Kaushal, Rishabh Iyer, Khoshrav Doctor +6
This paper addresses automatic summarization of videos in a unified manner. In particular, we propose a framework for multi-faceted summarization for extractive, query base and ent…
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
Vishal Kaushal, Rishabh Iyer, Suraj Kothawade +3
Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry. Their data curation poses the challenges of expensive human labeling, inad…
A Framework towards Domain Specific Video Summarization
Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade +2
In the light of exponentially increasing video content, video summarization has attracted a lot of attention recently due to its ability to optimize time and storage. Characteristi…
Putting the Horse Before the Cart:A Generator-Evaluator Framework for Question Generation from Text
Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li
Automatic question generation (QG) is a useful yet challenging task in NLP. Recent neural network-based approaches represent the state-of-the-art in this task. In this work, we att…
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks
Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor +5
Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry and pose the challenges of not having adequate computing resources and of h…
Automating Reading Comprehension by Generating Question and Answer Pairs
Vishwajeet Kumar, Kireeti Boorla, Yogesh Meena +2
Neural network-based methods represent the state-of-the-art in question generation from text. Existing work focuses on generating only questions from text without concerning itself…
Neural Architecture for Question Answering Using a Knowledge Graph and Web Corpus
Uma Sawant, Saurabh Garg, Soumen Chakrabarti +1
In Web search, entity-seeking queries often trigger a special Question Answering (QA) system. It may use a parser to interpret the question to a structured query, execute that on a…
Learning Discriminative Relational Features for Sequence Labeling
Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan
Discovering relational structure between input features in sequence labeling models has shown to improve their accuracy in several problem settings. However, the search space of re…
A Unified Multi-Faceted Video Summarization System
Anurag Sahoo, Vishal Kaushal, Khoshrav Doctor +3
This paper addresses automatic summarization and search in visual data comprising of videos, live streams and image collections in a unified manner. In particular, we propose a fra…