Arjun Majumdar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Disaster Response

Viewing Position

Visual Representations

Top Venues

Publications

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)
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)
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)
Zijiao Yang, Arjun Majumdar, Stefan Lee
Behavioral Analysis of Vision-and-Language Navigation Agents. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
Masked Trajectory Models for Prediction, Representation, and Control. CoRR (2023)
Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas
FindThis: Language-Driven Object Disambiguation in Indoor Environments. CoRL (2023)
Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
Masked Trajectory Models for Prediction, Representation, and Control. ICML (2023)
Zijiao Yang, Arjun Majumdar, Stefan Lee
Behavioral Analysis of Vision-and-Language Navigation Agents. CVPR (2023)
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 (2023)
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 (2022)
Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. NeurIPS (2022)
Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani, Judy Hoffman, Dhruv Batra
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. CoRR (2022)
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)
Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation. CoRR (2021)
Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation. NeurIPS (2021)
Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments. CoRR (2020)
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 (2020)
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)
Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments. ECCV (28) (2020)
Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee
Sim-to-Real Transfer for Vision-and-Language Navigation. CoRR (2020)
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)
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)
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)
Arjun Majumdar, Laura J. Brattain, Brian A. Telfer, Chad Farris, Jonathan Scalera
Detecting Intracranial Hemorrhage with Deep Learning. EMBC (2018)
Miriam Cha, Arjun Majumdar, H. T. Kung, Jarred Barber
Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements. ICASSP (2018)
David Mascharka, Philip Tran, Ryan Soklaski, Arjun Majumdar
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning. CoRR (2018)
David Mascharka, Philip Tran, Ryan Soklaski, Arjun Majumdar
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning. CVPR (2018)
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) (2017)
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)
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)
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)