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Ganesh Ramakrishnan

Indian Institute of Technology Bombay

17 papers hereh-index 262.5k citations149 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10
  • last author7

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.CL5
  • cs.IR2
  • cs.LG2
  • eess.AS1
affiliations
  • Indian Institute of Technology Bombay
Homepage
same name
  • Ganesh Ramakrishnan — 43 papers, h 17
  • Ganesh Ramakrishnan — 11 papers, h 2
  • Ganesh Ramakrishnan — 9 papers, h 4
  • Ganesh Ramakrishnan — 8 papers, h 2
  • Ganesh Ramakrishnan — 7 papers, h 3
  • Ganesh Ramakrishnan — 5 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedLIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos

33 citations · 81 across the 13 of their papers we have counts for

collaborators
Showing 2019 · cs.CLShow all

3 papers · 2 filters

cs.CL2019★ 4 cited

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…

cs.CL2019

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…

cs.CL2019

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.