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ORCIDArjun Majumdar
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2020 – today
- 2024
[c22]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- [c21]Matthew Lamsey, You Liang Tan, Meredith D. Wells, Madeline Beatty, Zexuan Liu, Arjun Majumdar, Kendra Washington, Jerry Feldman, Naveen Kuppuswamy, Elizabeth Nguyen, Arielle Wallenstein, Madeleine E. Hackney, Charles C. Kemp:
Stretch with Stretch: Physical Therapy Exercise Games Led by a Mobile Manipulator. ICRA 2024: 5569-5576 - [c20]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 - [c19]Pranav Putta, Gunjan Aggarwal, Roozbeh Mottaghi, Dhruv Batra, Naoki Yokoyama, Joanne Truong, Arjun Majumdar:
Embodiment Randomization for Cross Embodiment Navigation. IROS 2024: 5527-5534 - [i14]Jan-Niklas Dihlmann, Arjun Majumdar, Andreas Engelhardt, Raphael Braun, Hendrik P. A. Lensch:
Subsurface Scattering for 3D Gaussian Splatting. CoRR abs/2408.12282 (2024) - 2023
- [c18]Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas:
FindThis: Language-Driven Object Disambiguation in Indoor Environments. CoRL 2023: 1335-1347 - [c17]Zijiao Yang
, Arjun Majumdar, Stefan Lee:
Behavioral Analysis of Vision-and-Language Navigation Agents. CVPR 2023: 2574-2582 - [c16]Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran:
Masked Trajectory Models for Prediction, Representation, and Control. ICML 2023: 37607-37623 - [c15]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 - [i13]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) - [i12]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) - [i11]Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran:
Masked Trajectory Models for Prediction, Representation, and Control. CoRR abs/2305.02968 (2023) - [i10]Zijiao Yang, Arjun Majumdar, Stefan Lee:
Behavioral Analysis of Vision-and-Language Navigation Agents. CoRR abs/2307.10790 (2023) - [i9]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) - [i8]Matthew Lamsey, You Liang Tan, Meredith D. Wells, Madeline Beatty, Zexuan Liu, Arjun Majumdar, Kendra Washington, Jerry Feldman, Naveen Kuppuswamy, Elizabeth Nguyen, Arielle Wallenstein, Madeleine E. Hackney, Charles C. Kemp:
Stretch with Stretch: Physical Therapy Exercise Games Led by a Mobile Manipulator. CoRR abs/2312.13279 (2023) - 2022
- [c14]Arjun Majumdar, Gunnar A. Sigurdsson, Robinson Piramuthu, Jesse Thomason, Dhruv Batra, Gaurav S. Sukhatme:
SSL Enables Learning from Sparse Rewards in Image-Goal Navigation. ICML 2022: 14774-14785 - [c13]Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra:
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. NeurIPS 2022 - [i7]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) - [i6]Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra:
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. CoRR abs/2206.12403 (2022) - 2021
- [c12]Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra:
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation. NeurIPS 2021: 7357-7367 - [i5]Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra:
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation. CoRR abs/2110.14143 (2021) - 2020
- [c11]Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee:
Sim-to-Real Transfer for Vision-and-Language Navigation. CoRL 2020: 671-681 - [c10]Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee:
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments. ECCV (28) 2020: 104-120 - [c9]Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra:
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web. ECCV (6) 2020: 259-274 - [i4]Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee:
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments. CoRR abs/2004.02857 (2020) - [i3]Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra:
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web. CoRR abs/2004.14973 (2020) - [i2]Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee:
Sim-to-Real Transfer for Vision-and-Language Navigation. CoRR abs/2011.03807 (2020)
2010 – 2019
- 2019
- [c8]Arjun Majumdar, Gent Ymeri, Sebastian Strumbelj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim:
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning. VAST 2019: 136-137 - 2018
- [c7]David Mascharka, Philip Tran, Ryan Soklaski, Arjun Majumdar:
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning. CVPR 2018: 4942-4950 - [c6]Arjun Majumdar, Laura J. Brattain, Brian A. Telfer, Chad Farris, Jonathan Scalera:
Detecting Intracranial Hemorrhage with Deep Learning. EMBC 2018: 583-587 - [c5]Miriam Cha, Arjun Majumdar, H. T. Kung, Jarred Barber:
Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements. ICASSP 2018: 2606-2610 - [c4]Mark Hernandez, Adam Brewster, Larry Thul, Brian A. Telfer, Arjun Majumdar, Heejin Choi, Taeyun Ku, Kwanghun Chung, Laura J. Brattain:
Learning-based long-range axon tracing in dense scenes. ISBI 2018: 1578-1582 - [i1]David Mascharka, Philip Tran, Ryan Soklaski, Arjun Majumdar:
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning. CoRR abs/1803.05268 (2018) - 2017
- [j1]Kristof Blutman, Ajay Kapoor, Arjun Majumdar, Jacinto Garcia Martinez, Juan Diego Echeverri, Leo Sevat, Arnoud P. van der Wel, Hamed Fatemi, Kofi A. A. Makinwa, José Pineda de Gyvez:
A Low-Power Microcontroller in a 40-nm CMOS Using Charge Recycling. IEEE J. Solid State Circuits 52(4): 950-960 (2017) - 2016
- [c3]Kristof Blutman, Ajay Kapoor, Arjun Majumdar, Jacinto Garcia Martinez, Juan Diego Echeverri, Leo Sevat, Arnoud P. van der Wel, Hamed Fatemi, José Pineda de Gyvez, Kofi A. A. Makinwa:
A microcontroller with 96% power-conversion efficiency using stacked voltage domains. VLSI Circuits 2016: 1-2 - 2015
- [c2]Christian Anderson, Paul Breimyer, Stephanie Foster, Kelly Geyer, J. Daniel Griffith, Andrew Heier, Arjun Majumdar, Danelle C. Shah, Olga Simek, Nicholas Stanisha, Frederick R. Waugh:
A network science approach to open source data fusion and analytics for disaster response. FUSION 2015: 207-214 - [c1]Danelle C. Shah, Christian Anderson, Paul Breimyer, Stephanie Foster, Kelly Geyer, J. Daniel Griffith, Andrew Heier, Arjun Majumdar, Olga Simek, Nicholas Stanisha, Frederick R. Waugh:
Application of graph methods for leveraging open source data during disaster response. GHTC 2015: 259-266
Coauthor Index
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