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 (FUSION, 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 (GHTC, 2015)

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 (VLSI Circuits, 2016)

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)

Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning. - David Mascharka; Philip Tran; Ryan Soklaski; Arjun Majumdar (CVPR, 2018)

Detecting Intracranial Hemorrhage with Deep Learning. - Arjun Majumdar; Laura J. Brattain; Brian A. Telfer; Chad Farris; Jonathan Scalera (EMBC, 2018)

Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements. - Miriam Cha; Arjun Majumdar; H. T. Kung 001; Jarred Barber (ICASSP, 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 (ISBI, 2018)

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 (VAST, 2019)

Sim-to-Real Transfer for Vision-and-Language Navigation. - Peter Anderson; Ayush Shrivastava; Joanne Truong; Arjun Majumdar; Devi Parikh; Dhruv Batra; Stefan Lee (CoRL, 2020)

Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments. - Jacob Krantz; Erik Wijmans; Arjun Majumdar; Dhruv Batra; Stefan Lee (ECCV (28), 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 (ECCV (6), 2020)

SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation. - Abhinav Moudgil; Arjun Majumdar; Harsh Agrawal; Stefan Lee; Dhruv Batra (NeurIPS, 2021)

SSL Enables Learning from Sparse Rewards in Image-Goal Navigation. - Arjun Majumdar; Gunnar A. Sigurdsson; Robinson Piramuthu; Jesse Thomason; Dhruv Batra; Gaurav S. Sukhatme (ICML, 2022)

ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. - Arjun Majumdar; Gunjan Aggarwal; Bhavika Devnani; Judy Hoffman; Dhruv Batra (NeurIPS, 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)

FindThis: Language-Driven Object Disambiguation in Indoor Environments. - Arjun Majumdar; Fei Xia 002; Brian Ichter; Dhruv Batra; Leonidas J. Guibas (CoRL, 2023)

Behavioral Analysis of Vision-and-Language Navigation Agents. - Zijiao Yang 002; Arjun Majumdar; Stefan Lee (CVPR, 2023)

Masked Trajectory Models for Prediction, Representation, and Control. - Philipp Wu; Arjun Majumdar; Kevin Stone; Yixin Lin; Igor Mordatch; Pieter Abbeel; Aravind Rajeswaran (ICML, 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; et al. (NeurIPS, 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; Pieter Abbeel; Jitendra Malik; Dhruv Batra; Yixin Lin; et al. (CoRR, 2023)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

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; et al. (ICRA, 2024)

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; et al. (ICRA, 2024)

Embodiment Randomization for Cross Embodiment Navigation. - Pranav Putta; Gunjan Aggarwal; Roozbeh Mottaghi; Dhruv Batra; Naoki Yokoyama; Joanne Truong; Arjun Majumdar (IROS, 2024)

Subsurface Scattering for Gaussian Splatting. - Jan-Niklas Dihlmann; Arjun Majumdar; Andreas Engelhardt; Raphael Braun; Hendrik P. A. Lensch (NeurIPS, 2024)

Subsurface Scattering for 3D Gaussian Splatting. - Jan-Niklas Dihlmann; Arjun Majumdar; Andreas Engelhardt; Raphael Braun; Hendrik P. A. Lensch (CoRR, 2024)

Large-Scale Offline Pre-Training Bootstraps Embodied Intelligence. - Arjun Majumdar (2024)

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. - Sergio Arnaud; Paul McVay; Ada Martin; Arjun Majumdar; Krishna Murthy Jatavallabhula; Phillip Thomas; Ruslan Partsey; Daniel Dugas; Abha Gejji; Alexander Sax; Vincent-Pierre Berges; Mikael Henaff; et al. (CoRR, 2025)

Embodied AI Agents: Modeling the World. - Pascale Fung; Yoram Bachrach; Asli Celikyilmaz; Kamalika Chaudhuri; Delong Chen; Willy Chung; Emmanuel Dupoux; Hervé Jégou; Alessandro Lazaric; Arjun Majumdar; Andrea Madotto; Franziska Meier; et al. (CoRR, 2025)