Kumar Ashutosh Graduate Student i code. i debug. i code. क्रांति की ज्वाला जलती रहनी चाहिए!

hi.

I am a fourth year CS Ph.D. student at UT Austin working with Prof. Kristen Grauman. My research interest lies broadly in Computer Vision and Machine Learning. I am currently working on video understanding and video-language models.

Prior to this, I spent five wonderful years at IIT Bombay where I completed my Dual Degree (B.Tech and M.Tech) in Electrical Engineering. In my masters thesis, I was supervised by Prof. Subhasis Chaudhuri where I worked on 3D reconstruction from multi-view images.

I occasionally write blogs about my projects, experiences, travels and thoughts. You can find the blogs below and also in archive. I appreciate questions or feedbacks regarding any of my project, blog or more broadly, my experience. Please email me.

Updates

Feb 2025:Two papers accepted at CVPR 2025 - ExpertAF that provides actionable feedback from videos, and FIction that predicts future interaction location and body pose.
Oct 2024:Recognized as a top reviewer (top 8%) for NeurIPS 2024.
May 2024:Recognized as an outstanding reviewer (top 2%) for CVPR 2024.
Apr 2024:Ego-Exo4D (paper) is selected as an oral presentation (selection rate: 0.8%) and VidDetours (paper) is selected as a highlight presentation (selection rate: 2.8%) at CVPR 2024.
Feb 2024:Four papers accepted at CVPR 2024 - detours for navigating instructional video (paper), the Ego-Exo4D dataset (paper), identifying sounding actions in videos (paper) and learning object state changes in an open-world (paper).
Sep 2023:Our work on video mined task graphs for keystep recognition in instructional videos (paper) is accepted at NeurIPS 2023.
Feb 2023:Our work on hierarchical video-langague embeddings (HierVL) is accepted at CVPR 2023.
Jan 2023: Started as a visiting researcher at FAIR, Meta AI.
Sep 2022: Our paper on robust stochastic knowledge distillation is accepted at ICDM 2022.
May 2022: Started as a Research Intern (AI) at Meta AI for Summer 2022.
August 2021: Joined UT Austin to pursue a Ph.D. in CS!
June 2021: I completed my Dual Degree (B.Tech with major in Electrical Engineering and minor in Computer Science, M.Tech in Electrical Engineering with specialization in Communication and Signal Processing) from IIT Bombay.
April 2021: I will be joining UT Austin starting Fall'21 to pursue a Ph.D. in Computer Science.
January 2021: Our work on statistically robust bandit algorithms is accepted for oral presentation at AISTATS (selection rate 3%).
August 2020:I will be a TA for the course EE 635 - Applied Linear Algebra.
July 2020:Our work on Lower Bounds of Policy Iterations is accepted at IEEE CDC 2020. (preprint)
May 2020:Participated in pan-India AR hackathon on COVID-19. (presentation)
Apr 2020:Paper accepted at IEEE ComPE-20 to be held from 2-4 July. Conference to take place in virtual mode.
Mar 2020:IIT Bombay suspends classes for all students due to COVID-19.
Nov 2019:Started 40-day internship at 360World at their Budapest office.

Updates

Feb 2025:Two papers accepted at CVPR 2025 - ExpertAF that provides actionable feedback from videos, and FIction that predicts future interaction location and body pose.
Oct 2024:Recognized as a top reviewer (top 8%) for NeurIPS 2024.
May 2024:Recognized as an outstanding reviewer (top 2%) for CVPR 2024.
Apr 2024:Ego-Exo4D (paper) is selected as an oral presentation (selection rate: 0.8%) and VidDetours (paper) is selected as a highlight presentation (selection rate: 2.8%) at CVPR 2024.
Feb 2024:Four papers accepted at CVPR 2024 - detours for navigating instructional video (paper), the Ego-Exo4D dataset (paper), identifying sounding actions in videos (paper) and learning object state changes in an open-world (paper).
Sep 2023:Our work on video mined task graphs for keystep recognition in instructional videos (paper) is accepted at NeurIPS 2023.
Feb 2023:Our work on hierarchical video-langague embeddings (HierVL) is accepted at CVPR 2023.
Jan 2023: Started as a visiting researcher at FAIR, Meta AI.
Sep 2022: Our paper on robust stochastic knowledge distillation is accepted at ICDM 2022.
May 2022: Started as a Research Intern (AI) at Meta AI for Summer 2022.
August 2021: Joined UT Austin to pursue a Ph.D. in CS!
June 2021: I completed my Dual Degree (B.Tech with major in Electrical Engineering and minor in Computer Science, M.Tech in Electrical Engineering with specialization in Communication and Signal Processing) from IIT Bombay.
April 2021: I will be joining UT Austin starting Fall'21 to pursue a Ph.D. in Computer Science.
January 2021: Our work on statistically robust bandit algorithms is accepted for oral presentation at AISTATS (selection rate 3%).
August 2020:I will be a TA for the course EE 635 - Applied Linear Algebra.
July 2020:Our work on Lower Bounds of Policy Iterations is accepted at IEEE CDC 2020. (preprint)
May 2020:Participated in pan-India AR hackathon on COVID-19. (presentation)
Apr 2020:Paper accepted at IEEE ComPE-20 to be held from 2-4 July. Conference to take place in virtual mode.
Mar 2020:IIT Bombay suspends classes for all students due to COVID-19.
Nov 2019:Started 40-day internship at 360World at their Budapest office.
            



FIction: 4D Future Interaction Prediction from Video

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025
Kumar Ashutosh, Georgios Pavlakos, Kristen Grauman
Paper   Website  

ExpertAF: Expert Actionable Feedback from Video

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025
Kumar Ashutosh, Tushar Nagarajan, Georgios Pavlakos, Kris Kitani, Kristen Grauman
Paper   Website  

Detours for Navigating Instructional Videos

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
Highlight Presentation (Selection rate: 2.8%)
Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman
Paper   Website  

SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
Changan Chen, Kumar Ashutosh, Rohit Girdhar, David Harwath, Kristen Grauman
Paper   Website  

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
Oral Presentation (Selection rate: 0.8%)
Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, ... , Michael Wray
Paper   Website  

Learning Object State Changes in Videos: An Open-World Perspective

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
Zihui Xue, Kumar Ashutosh, Kristen Grauman
Paper   Website  

Video-Mined Task Graphs for Keystep Recognition in Instructional Videos

Neural Information Processing Systems (NeurIPS), December 2023
Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman
Paper   Website  

What You Say Is What You Show: Visual Narration Detection in Instructional Videos

ArXiv 2023
Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
Paper  

HierVL: Learning Hierarchical Video-Language Embeddings

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023
Highlight Presentation (Selection rate: 2.5%)
Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
Paper   Website  

RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging

IEEE International Conference on Data Mining (ICDM), 2022
Ajay Jaiswal, Kumar Ashutosh, Justin F Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
Paper  









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