Sagar Verma

Research Fellow
IIIT Delhi

I am currently working as research fellow at Computer Vision and Machine Learning Lab (IIIT Delhi) with Dr. Chetan Arora on egocentric video understanding.

I split my time as Machine Vision Engineer at Granular Data.

I am also collaborating with Dr. P.B. Sujit on reinforcement learning for control problems.

I completed M. Tech. in 2017 from IIIT-Delhi. I woked with Dr. Chetan Arora on egocentric video understanding.

News

  • Granular will be presenting its work at International Workshop on Computational Social Sciences, IIIT Delhi, 2018. I will be sharing the stage with Siddharth Gupta.
  • I will be joining Centre de Vision Numérique for research internship in 2018.
  • I gave scientific talk at Max-Planck-Institut für Informatik on Egocentric Video Understanding.
  • Two papers accepted at ICIP 2018.
  • My internship work at IBM Research Lab, India accepted at VLDB Demo Track, 2018.
  • I presented our work on collaborative filtering with label consistent restricted Botzmann machine at ICAPR 2017, Benagaluru, India.

Recent Publications

Making third person techniques recognize first-person actions in egocentric videos

S. Verma, P. Nagar, D. Gupta, C. Arora, Making third person techniques recognize first-person actions in egocentric videos, (ICIP 2018) [PDF, code].

Diversity in fashion recommendation using semantic parsing

S. Verma, S. Anand, C. Arora, A. Rai, Diversity in fashion recommendation using semantic parsing, (ICIP 2018) [PDF, code].

Tooling Framework for Instantiating Natural Language Querying System

M. Jammi, J. Sen, A. Mittal, S. Verma, V. Pahuja, R. Ananthanarayanan, P. Lohia, H. Karanam, D. Saha, K. Sankaranarayanan, Tooling Framework for Instantiating Natural Language Querying System, (VLDB, Demo Track, 2018)

Collaborative Filtering with Label Consistent Restricted Boltzmann Machine

S. Verma, P. Patel, A. Majumdar, Collaborative Filtering with Label Consistent Restricted Boltzmann Machine, (ICAPR 2017) [PDF, code].