Kumar Ashutosh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Policy Iteration

Discounted Reward

Instructional Videos

Top Venues

Publications

Changan Chen, Kumar Ashutosh, Rohit Girdhar, David Harwath, Kristen Grauman
SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos. CoRR (2024)
Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman
Detours for Navigating Instructional Videos. CoRR (2024)
Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos. NeurIPS (2023)
Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos. CoRR (2023)
Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
HierVL: Learning Hierarchical Video-Language Embeddings. CoRR (2023)
Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
What You Say Is What You Show: Visual Narration Detection in Instructional Videos. CoRR (2023)
Zihui Xue, Kumar Ashutosh, Kristen Grauman
Learning Object State Changes in Videos: An Open-World Perspective. CoRR (2023)
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 (2023)
Kumar Ashutosh, Rohit Girdhar, Lorenzo Torresani, Kristen Grauman
HierVL: Learning Hierarchical Video-Language Embeddings. CVPR (2023)
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)
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 (2022)
Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri
3D-NVS: A 3D Supervision Approach for Next View Selection. ICPR (2022)
Kumar Ashutosh, Jayakrishnan Nair, Anmol Kagrecha, Krishna P. Jagannathan
Bandit algorithms: Letting go of logarithmic regret for statistical robustness. AISTATS (2021)
Kumar Ashutosh, Sarthak Consul, Bhishma Dedhia, Parthasarathi Khirwadkar, Sahil Shah, Shivaram Kalyanakrishnan
Lower Bounds for Policy Iteration on Multi-action MDPs. CDC (2020)
Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri
3D-NVS: A 3D Supervision Approach for Next View Selection. CoRR (2020)
Kumar Ashutosh, Jayakrishnan Nair, Anmol Kagrecha, Krishna P. Jagannathan
Bandit algorithms: Letting go of logarithmic regret for statistical robustness. CoRR (2020)
Kumar Ashutosh, Sarthak Consul, Bhishma Dedhia, Parthasarathi Khirwadkar, Sahil Shah, Shivaram Kalyanakrishnan
Lower Bounds for Policy Iteration on Multi-action MDPs. CoRR (2020)
Sarthak Consul, Bhishma Dedhia, Kumar Ashutosh, Parthasarathi Khirwadkar
Analysis of Lower Bounds for Simple Policy Iteration. CoRR (2019)
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)