CloudCV: Large-Scale Distributed Computer Vision as a Cloud Service. - Harsh Agrawal; Clint Solomon Mathialagan; Yash Goyal; Neelima Chavali; Prakriti Banik; Akrit Mohapatra; Ahmed Osman; Dhruv Batra (Mobile Cloud Visual Media Computing, 2015)

CloudCV: Large Scale Distributed Computer Vision as a Cloud Service. - Harsh Agrawal; Clint Solomon Mathialagan; Yash Goyal; Neelima Chavali; Prakriti Banik; Akrit Mohapatra; Ahmed Osman; Dhruv Batra (CoRR, 2015)

Object-Proposal Evaluation Protocol is 'Gameable'. - Neelima Chavali; Harsh Agrawal; Aroma Mahendru; Dhruv Batra (CVPR, 2016)

Sort Story: Sorting Jumbled Images and Captions into Stories. - Harsh Agrawal; Arjun Chandrasekaran; Dhruv Batra; Devi Parikh; Mohit Bansal (EMNLP, 2016)

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? - Abhishek Das; Harsh Agrawal; Larry Zitnick; Devi Parikh; Dhruv Batra (Comput. Vis. Image Underst., 2017)

Fabrik: An Online Collaborative Neural Network Editor. - Utsav Garg; Viraj Prabhu; Deshraj Yadav; Ram Ramrakhya; Harsh Agrawal; Dhruv Batra (CoRR, 2018)

nocaps: novel object captioning at scale. - Harsh Agrawal; Peter Anderson 001; Karan Desai; Yufei Wang 003; Xinlei Chen; Rishabh Jain; Mark Johnson 001; Dhruv Batra; Devi Parikh; Stefan Lee (ICCV, 2019)

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. - Jyoti Aneja; Harsh Agrawal; Dhruv Batra; Alexander G. Schwing (ICCV, 2019)

EvalAI: Towards Better Evaluation Systems for AI Agents. - Deshraj Yadav; Rishabh Jain; Harsh Agrawal; Prithvijit Chattopadhyay; Taranjeet Singh; Akash Jain; Shivkaran Singh; Stefan Lee; Dhruv Batra (CoRR, 2019)

Spatially Aware Multimodal Transformers for TextVQA. - Yash Kant; Dhruv Batra; Peter Anderson; Alexander G. Schwing; Devi Parikh; Jiasen Lu; Harsh Agrawal (ECCV (9), 2020)

Contrast and Classify: Alternate Training for Robust VQA. - Yash Kant; Abhinav Moudgil; Dhruv Batra; Devi Parikh; Harsh Agrawal (CoRR, 2020)

One-vs-All Methodology based Cassava Leaf Disease Detection. - Aryan Methil; Harsh Agrawal; Varadh Kaushik (ICCCNT, 2021)

Contrast and Classify: Training Robust VQA Models. - Yash Kant; Abhinav Moudgil; Dhruv Batra; Devi Parikh; Harsh Agrawal (ICCV, 2021)

The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. - Xiaoming Zhao 001; Harsh Agrawal; Dhruv Batra; Alexander G. Schwing (ICCV, 2021)

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

Known unknowns: Learning novel concepts using reasoning-by-elimination. - Harsh Agrawal; Eli A. Meirom; Yuval Atzmon; Shie Mannor; Gal Chechik (UAI, 2021)

Housekeep: Tidying Virtual Households Using Commonsense Reasoning. - Yash Kant; Arun Ramachandran; Sriram Yenamandra; Igor Gilitschenski; Dhruv Batra; Andrew Szot; Harsh Agrawal (ECCV (39), 2022)

Simple and Effective Synthesis of Indoor 3D Scenes. - Jing Yu Koh; Harsh Agrawal; Dhruv Batra; Richard Tucker; Austin Waters; Honglak Lee; Yinfei Yang; Jason Baldridge; Peter Anderson (AAAI, 2023)

Multimodal Persona Based Generation of Comic Dialogs. - Harsh Agrawal; Aditya Mishra; Manish Gupta; Mausam (ACL (1), 2023)

Securitizing Microcredits Using blockchain. - Harsh Agrawal; Mohnish Sankhe; Arnav Chaudhari; Deepak Karia; Narendra Bhagat; Najib Ghatte (BigDataSecurity/HPSC/IDS, 2023)

Automated Detection and Diagnosis of Skin-Lesion using Transfer Learning based YOLOv7 Approach. - Akshat Garg; Harsh Agrawal; Shashank Mouli Satapathy; Mohammad Umair Khan (OCIT, 2023)

Large Language Models as Generalizable Policies for Embodied Tasks. - Andrew Szot; Max Schwarzer; Harsh Agrawal; Bogdan Mazoure; Walter Talbott; Katherine Metcalf; Natalie Mackraz; R. Devon Hjelm; Alexander Toshev (CoRR, 2023)

Towards multi-modal AI systems with open-world cognition. - Harsh Agrawal (2023)

Large Language Models as Generalizable Policies for Embodied Tasks. - Andrew Szot; Max Schwarzer; Harsh Agrawal; Bogdan Mazoure; Rin Metcalf; Walter Talbott; Natalie Mackraz; R. Devon Hjelm; Alexander T. Toshev (ICLR, 2024)

Grounding Multimodal Large Language Models in Actions. - Andrew Szot; Bogdan Mazoure; Harsh Agrawal; R. Devon Hjelm; Zsolt Kira; Alexander Toshev (NeurIPS, 2024)

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms. - Zhangheng Li; Keen You; Haotian Zhang 005; Di Feng; Harsh Agrawal; Xiujun Li; Mohana Prasad Sathya Moorthy; Jeff Nichols; Yinfei Yang; Zhe Gan (CoRR, 2024)

DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models. - Kevin Miao; Harsh Agrawal; Qihang Zhang; Federico Semeraro 003; Marco Cavallo; Jiatao Gu; Alexander Toshev (CoRR, 2024)

An improved deep learning method for flying object detection and recognition. - Shailendra S. Aote; Nisha Wankhade; Aniket Pardhi; Nidhi Misra; Harsh Agrawal; Archana Potnurwar (Signal Image Video Process., 2024)

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. - Andrew Szot; Bogdan Mazoure; Omar Attia; Aleksei Timofeev; Harsh Agrawal; R. Devon Hjelm; Zhe Gan; Zsolt Kira; Alexander Toshev (CVPR, 2025)

Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms. - Zhangheng Li; Keen You; Haotian Zhang 005; Di Feng; Harsh Agrawal; Xiujun Li; Mohana Prasad Sathya Moorthy; Jeffrey Nichols 001; Yinfei Yang; Zhe Gan (ICLR, 2025)