Arjun Majumdar

According to our database, Arjun Majumdar authored at least 24 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Stretch with Stretch: Physical Therapy Exercise Games Led by a Mobile Manipulator.

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

CoRR, 2023

What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?

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

CoRR, 2023

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

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

CoRR, 2023

OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav.

Karmesh Yadav, Arjun Majumdar, Ram Ramrakhya, Naoki Yokoyama, Alexei Baevski, Zsolt Kira, Oleksandr Maksymets, Dhruv Batra

CoRR, 2023

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Masked Trajectory Models for Prediction, Representation, and Control.

Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran

Proceedings of the International Conference on Machine Learning, 2023

Behavioral Analysis of Vision-and-Language Navigation Agents.

Zijiao Yang, Arjun Majumdar, Stefan Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FindThis: Language-Driven Object Disambiguation in Indoor Environments.

Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas

Proceedings of the Conference on Robot Learning, 2023

2022

Offline Visual Representation Learning for Embodied Navigation.

Karmesh Yadav, Ram Ramrakhya, Arjun Majumdar, Vincent-Pierre Berges, Sachit Kuhar, Dhruv Batra, Alexei Baevski, Oleksandr Maksymets

CoRR, 2022

ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings.

Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SSL Enables Learning from Sparse Rewards in Image-Goal Navigation.

Arjun Majumdar, Gunnar A. Sigurdsson, Robinson Piramuthu, Jesse Thomason, Dhruv Batra, Gaurav S. Sukhatme

Proceedings of the International Conference on Machine Learning, 2022

2021

SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation.

Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Improving Vision-and-Language Navigation with Image-Text Pairs from the Web.

Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra

Proceedings of the Computer Vision - ECCV 2020, 2020

Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments.

Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee

Proceedings of the Computer Vision - ECCV 2020, 2020

Sim-to-Real Transfer for Vision-and-Language Navigation.

Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning.

Arjun Majumdar, Gent Ymeri, Sebastian Strumbelj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

2018

Learning-based long-range axon tracing in dense scenes.

Mark Hernandez, Adam Brewster, Larry Thul, Brian A. Telfer, Arjun Majumdar, Heejin Choi, Taeyun Ku, Kwanghun Chung, Laura J. Brattain

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements.

Miriam Cha, Arjun Majumdar, H. T. Kung, Jarred Barber

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Detecting Intracranial Hemorrhage with Deep Learning.

Arjun Majumdar, Laura J. Brattain, Brian A. Telfer, Chad Farris, Jonathan Scalera

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning.

David Mascharka, Philip Tran, Ryan Soklaski, Arjun Majumdar

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

A Low-Power Microcontroller in a 40-nm CMOS Using Charge Recycling.

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

IEEE J. Solid State Circuits, 2017

2016

A microcontroller with 96% power-conversion efficiency using stacked voltage domains.

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

Proceedings of the 2016 IEEE Symposium on VLSI Circuits, 2016

2015

Application of graph methods for leveraging open source data during disaster response.

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

Proceedings of the 2015 IEEE Global Humanitarian Technology Conference, 2015

A network science approach to open source data fusion and analytics for disaster response.

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

Proceedings of the 18th International Conference on Information Fusion, 2015