ArXiv 2025
Chi Hsuan Wu*, Kumar Ashutosh*, Kristen Grauman
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ACM Symposium on User Interface Software and Technology (UIST), Oct 2025
Mina Huh, Zihui Xue, Ujjaini Das, Kumar Ashutosh, Kristen Grauman, Amy Pavel
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42nd International Conference on Machine Learning (ICML), July 2025
Kumar Ashutosh, Yossi Gandelsman, Xinlei Chen, Ishan Misra, Rohit Girdhar
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025
Highlight Presentation
Kumar Ashutosh, Georgios Pavlakos, Kristen Grauman
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025
Kumar Ashutosh, Tushar Nagarajan, Georgios Pavlakos, Kris Kitani, Kristen Grauman
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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
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
Changan Chen, Kumar Ashutosh, Rohit Girdhar, David Harwath, Kristen Grauman
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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
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
Zihui Xue, Kumar Ashutosh, Kristen Grauman
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Neural Information Processing Systems (NeurIPS), December 2023
Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman
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ArXiv 2023
Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
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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
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IEEE International Conference on Data Mining (ICDM), 2022
Ajay Jaiswal, Kumar Ashutosh, Justin F Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
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Artificial Intelligence and Statistics (AISTATS), 13th-15th April 2021, Online Conference
Oral Presentation (Selection rate: 3%)
Kumar Ashutosh, Jayakrishnan Nair, Anmol Kagrecha, Krishna Jagannathan
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International Conference on Pattern Recognition (ICPR) 2022
Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri
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IEEE Conference on Decision and Control (CDC), 8th - 11th December 2020, Online Conference
Kumar Ashutosh*, Sarthak Consul*, Bhishma Dedhia*, Parthasarathi Khirwadkar*, Sahil Shah*, and Shivaram Kalyanakrishnan
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IEEE Conference on Computational Performance Evaluation (ComPE), 2nd - 4th July 2020, Online Conference
Kumar Ashutosh
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Brain Informatics Conference (BI), 10th - 12th December 2018, Arlington, Texas, USA
Rohit Bose*, Kumar Ashutosh*, Junhua Li, Andrei Dragomir, Nitish Thakor, and Anastasios Bezerianos
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This project is being done in Autumn 2020 semester and expected date of completion is December 2020. We attempt to experiment with RL algorithms to automate Dots and Boxes, a popular high-school pen and paper game.
This blog contains report of Research and Development project done in the supervision of Prof. Parag Chaudhuri, IIT Bombay. In this proect, I developed a novel AR-based table top game which fits into the terrian of the scene and adjusts the game object based on the markers. The characters can move in 3D world with correct spatial understanding.
This is one of my many hobby projects done this semester. It is aimed to learning how to use Hardwares for AR/VR. I wanted to experiment with the Leap Motion Controller as soon as I knew about it.
In this blog, I include final report of the Electronic Design Lab (EDL) project done under the guidance of Prof. Pramod Murali. The report contains all the relevant details including circuit diagram, results, flowcharts.
This project was done as a part of the Microprocessors course at IIT Bombay. The microprocessor design was done for both multi-cylce and pipleined architecture. The theory required for the project was taught alongisde during 5th Semester in my undergraduate course by Prof Virendra Singh, IIT Bombay.
Google Summer of Code is an annual Open Source program which selects open source enthusiasts who work on interesting projects under many different open source organizations. The aim of the program is to promote open source and to teach the practices of good coding skills. The program is high competitive and the acceptance rate is around 20-25%.
I was selected in dipy - an open source organization in Medical Imaging. My mentor is an Assistant Professor at Indiana University, Bloomington.
The blog contains my overall experience as a GSoCer.
I was selected as a research intern under Prof Anastasios Bezerianos and Prof Nitish Thakor, at SINAPSE (Singapore Institute for Neurotechnology), at NUS (National University of Singapore). I worked in eastablishing brain connectivity patterns during creative thinking. I explored how the EEG (Electroencephelogram) brain pattern changes during creative thinking and established statistical differences between the two states of mind.
Blog on Research and Development Project done under Prof Amit Sethi, IIT Bombay.
Lists down some other projects done as part of my curriculum at IIT Bombay. The topics covered by projects listed here includes signal processing, online learning, electrical circuits, microcontroller programming etc.
The aim of the project is to develop a fully functional Augmented Reality based Chess game application.
STALLED. Done indepenently by Rishi Vanukuru
The aim of this project is to develop a fully functional Augmented Reality based Location Assistant.
STALLED. If you are a junior/sophomore at IITB and this project intrigues you, I can mentor you. Email me.