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Karmesh Yadav
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2020 – today
- 2024
- [c9]Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran:
OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR 2024: 16488-16498 - [c8]Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets:
What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? ICRA 2024: 17515-17521 - [i12]Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner:
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. CoRR abs/2405.05852 (2024) - [i11]Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR abs/2407.06939 (2024) - [i10]Ahmad Elawady, Gunjan Chhablani, Ram Ramrakhya, Karmesh Yadav, Dhruv Batra, Zsolt Kira, Andrew Szot:
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. CoRR abs/2410.02751 (2024) - 2023
- [c7]Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRL 2023: 1975-2011 - [c6]Karmesh Yadav, Ram Ramrakhya, Santhosh Kumar Ramakrishnan, Théophile Gervet, John M. Turner, Aaron Gokaslan, Noah Maestre, Angel Xuan Chang, Dhruv Batra, Manolis Savva, Alexander William Clegg, Devendra Singh Chaplot:
Habitat-Matterport 3D Semantics Dataset. CVPR 2023: 4927-4936 - [c5]Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot:
Navigating to Objects Specified by Images. ICCV 2023: 10882-10891 - [c4]Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS 2023 - [i9]Karmesh Yadav, Arjun Majumdar, Ram Ramrakhya, Naoki Yokoyama, Alexei Baevski, Zsolt Kira, Oleksandr Maksymets, Dhruv Batra:
OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav. CoRR abs/2303.07798 (2023) - [i8]Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? CoRR abs/2303.18240 (2023) - [i7]Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot:
Navigating to Objects Specified by Images. CoRR abs/2304.01192 (2023) - [i6]Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRR abs/2306.11565 (2023) - [i5]Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets:
What do we learn from a large-scale study of pre-trained visual representations in sim and real environments? CoRR abs/2310.02219 (2023) - 2022
- [c3]Justin Wasserman, Karmesh Yadav, Girish Chowdhary, Abhinav Gupta, Unnat Jain:
Last-Mile Embodied Visual Navigation. CoRL 2022: 666-678 - [i4]Karmesh Yadav, Ram Ramrakhya, Arjun Majumdar, Vincent-Pierre Berges, Sachit Kuhar, Dhruv Batra, Alexei Baevski, Oleksandr Maksymets:
Offline Visual Representation Learning for Embodied Navigation. CoRR abs/2204.13226 (2022) - [i3]Karmesh Yadav, Ram Ramrakhya, Santhosh Kumar Ramakrishnan, Théophile Gervet, John M. Turner, Aaron Gokaslan, Noah Maestre, Angel Xuan Chang, Dhruv Batra, Manolis Savva, Alexander William Clegg, Devendra Singh Chaplot:
Habitat-Matterport 3D Semantics Dataset. CoRR abs/2210.05633 (2022) - [i2]Justin Wasserman, Karmesh Yadav, Girish Chowdhary, Abhinav Gupta, Unnat Jain:
Last-Mile Embodied Visual Navigation. CoRR abs/2211.11746 (2022) - 2020
- [c2]Gunshi Gupta, Karmesh Yadav, Liam Paull:
Look-ahead Meta Learning for Continual Learning. NeurIPS 2020 - [i1]Gunshi Gupta, Karmesh Yadav, Liam Paull:
La-MAML: Look-ahead Meta Learning for Continual Learning. CoRR abs/2007.13904 (2020)
2010 – 2019
- 2018
- [c1]Vignesh Prasad, Karmesh Yadav, Rohitashva Singh Saurabh, Swapnil Daga, Nahas Pareekutty, K. Madhava Krishna, Balaraman Ravindran, Brojeshwar Bhowmick:
Learning to Prevent Monocular SLAM Failure using Reinforcement Learning. ICVGIP 2018: 47:1-47:9
Coauthor Index
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last updated on 2024-11-08 20:30 CET by the dblp team
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