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Kumar Ashutosh
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2020 – today
- 2024
- [i12]Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman:
Detours for Navigating Instructional Videos. CoRR abs/2401.01823 (2024) - [i11]Changan Chen, Kumar Ashutosh, Rohit Girdhar, David Harwath, Kristen Grauman:
SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos. CoRR abs/2404.05206 (2024) - 2023
- [c7]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
HierVL: Learning Hierarchical Video-Language Embeddings. CVPR 2023: 23066-23078 - [c6]Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman:
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos. NeurIPS 2023 - [i10]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
What You Say Is What You Show: Visual Narration Detection in Instructional Videos. CoRR abs/2301.02307 (2023) - [i9]Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman:
HierVL: Learning Hierarchical Video-Language Embeddings. CoRR abs/2301.02311 (2023) - [i8]Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman:
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos. CoRR abs/2307.08763 (2023) - [i7]Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CoRR abs/2311.18259 (2023) - [i6]Zihui Xue, Kumar Ashutosh, Kristen Grauman:
Learning Object State Changes in Videos: An Open-World Perspective. CoRR abs/2312.11782 (2023) - 2022
- [c5]Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau
, Yifan Peng, Zhangyang Wang, Ying Ding:
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. ICDM 2022: 981-986 - [c4]Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri:
3D-NVS: A 3D Supervision Approach for Next View Selection. ICPR 2022: 3929-3936 - [i5]Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau
, Yifan Peng, Zhangyang Wang, Ying Ding:
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. CoRR abs/2210.08388 (2022) - 2021
- [c3]Kumar Ashutosh, Jayakrishnan Nair, Anmol Kagrecha, Krishna P. Jagannathan:
Bandit algorithms: Letting go of logarithmic regret for statistical robustness. AISTATS 2021: 622-630 - 2020
- [c2]Kumar Ashutosh, Sarthak Consul, Bhishma Dedhia, Parthasarathi Khirwadkar, Sahil Shah, Shivaram Kalyanakrishnan:
Lower Bounds for Policy Iteration on Multi-action MDPs. CDC 2020: 1744-1749 - [i4]Kumar Ashutosh, Jayakrishnan Nair, Anmol Kagrecha, Krishna P. Jagannathan:
Bandit algorithms: Letting go of logarithmic regret for statistical robustness. CoRR abs/2006.12038 (2020) - [i3]Kumar Ashutosh, Sarthak Consul, Bhishma Dedhia, Parthasarathi Khirwadkar, Sahil Shah, Shivaram Kalyanakrishnan:
Lower Bounds for Policy Iteration on Multi-action MDPs. CoRR abs/2009.07842 (2020) - [i2]Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri:
3D-NVS: A 3D Supervision Approach for Next View Selection. CoRR abs/2012.01743 (2020)
2010 – 2019
- 2019
- [i1]Sarthak Consul
, Bhishma Dedhia, Kumar Ashutosh, Parthasarathi Khirwadkar:
Analysis of Lower Bounds for Simple Policy Iteration. CoRR abs/1911.12842 (2019) - 2018
- [c1]Rohit Bose, Kumar Ashutosh, Junhua Li, Andrei Dragomir, Nitish V. Thakor, Anastasios Bezerianos:
A Multilayer Network Approach for Studying Creative Ideation from EEG. BI 2018: 294-303
Coauthor Index
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last updated on 2024-08-10 00:28 CEST by the dblp team
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