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Sharat Agarwal

Ph.D.Candidate

IIIT Delhi, India


CV | Google Scholar | Github


I am a Ph.D. candidate advised by Prof. Saket Anand and Prof. Chetan Arora .

My research interest lies in Computer Vision and Deep Learning; research topics include Active Learning, Data Fairness, and Domain Adaptation.

For comprehensive and effective training of deep models, our focus should be on proposing methods to utilize the available data efficiently. Thus, my research investigates visual data's contextual aspect using model's uncertainty to train deep networks effectively. I am interested in solving problems using less supervision.

I am on the job market. Please reach out if you think I could be a good fit for your team

Contact

  • sharata [at] iiitd.ac.in

    sharat29ag [at] gmail.com

  • LAB B413, R&D Block, IIIT-Delhi, Delhi, 110020

Education

  • B.Tech in CSE, 2016

    GEU, Dehradun, India

Publications

  • Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift

    Sharat Agarwal, Saket Anand, Chetan Arora.

    WACV 2023

    [ Paper ] [ Code ]

  • Does Data Repair Leads to Fair Models? Curating Contextually Fair Data to Reduce Model Bias

    Sharat Agarwal, Sumanyu Muku, Chetan Arora, Saket Anand.

    WACV 2022

    [ Paper ] [ Code ] [ Project Page ]

  • Contextual Diversity For Active Learning

    Sharat Agarwal, Himanshu Singh, Saket Anand, Chetan Arora.

    ECCV 2020

    [ Paper ] [ Code ] [ Slides ]

  • Improved Dynamic Time Warping Based Approach for Activity Recognition

    Vikas Tripathi, Sharat Agarwal, A Mittal, D Gangodkar

    FICTA 2017

  • Modified Dense Trajectory for Real Time Action Recognition

    Vikas Tripathi, Piyush Bhatt, Sharat Agarwal, Monika Semwal

    IJCTA 2017

Academic Projects

  • Domain Adaptation for Semantic Segmentation.[ Slides ] Advisor: Dr.Saket Anand and Dr.Chetan Arora
  • Using Image Processing for detecting people with Down Syndrome.[ Report ] Advisor:Dr. A.V Subramanyam
  • Pairwise confusion loss for Semantic Segmentation.[ Slides ] Advisor: Dr.Koteswar Rao
  • Depression Detection Using Tweets.[ Slides ] Advisor: Dr.Tanmoy Chakraborty
  • Improved Study of Heart Disease Prediction using Data Mining Classification Techniques.[ Slides ]Advisor: Dr. G.P.S Raghava
  • Quora question duplicates dectection.[ Report ] Advisor: Dr.Saket Anand
  • Driver drowsiness detection on long videos.[ Slides ] Advisor:Dr. Saket Anand

Professional Services

  • Reviewed Journal: TPAMI 2022
  • Reviewed Conference: ICCV-23, ECCV-22,24, CVPR-22,23, WACV-22,23,24
  • Technical Program Committee COMSNETS-2023,2024-CVAD Workshop
  • Committe member, ICVGIP Data Challenge 2021
  • DL Tutorial, AI Assisted Data Analytics (AIDA) 2020, IIITD
  • ML Tutorial, Economics Workshop, 2019, IIITD

Academic Services

Teaching Assistant