Harsh Agrawal

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Object Detection And Recognition

Visual Odometry

Top Venues

Publications

Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev
Large Language Models as Generalizable Policies for Embodied Tasks. ICLR (2024)
Shailendra S. Aote, Nisha Wankhade, Aniket Pardhi, Nidhi Misra, Harsh Agrawal, Archana Potnurwar
An improved deep learning method for flying object detection and recognition. Signal Image Video Process. 18 (1) (2024)
Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
Grounding Multimodal Large Language Models in Actions. CoRR (2024)
Harsh Agrawal, Aditya Mishra, Manish Gupta, Mausam
Multimodal Persona Based Generation of Comic Dialogs. ACL (1) (2023)
Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson
Simple and Effective Synthesis of Indoor 3D Scenes. AAAI (2023)
Harsh Agrawal, Mohnish Sankhe, Arnav Chaudhari, Deepak Karia, Narendra Bhagat, Najib Ghatte
Securitizing Microcredits Using blockchain. BigDataSecurity/HPSC/IDS (2023)
Akshat Garg, Harsh Agrawal, Shashank Mouli Satapathy, Mohammad Umair Khan
Automated Detection and Diagnosis of Skin-Lesion using Transfer Learning based YOLOv7 Approach. OCIT (2023)
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
Large Language Models as Generalizable Policies for Embodied Tasks. CoRR (2023)
Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson
Simple and Effective Synthesis of Indoor 3D Scenes. CoRR (2022)
Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
Housekeep: Tidying Virtual Households Using Commonsense Reasoning. ECCV (39) (2022)
Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
Housekeep: Tidying Virtual Households using Commonsense Reasoning. CoRR (2022)
Aryan Methil, Harsh Agrawal, Varadh Kaushik
One-vs-All Methodology based Cassava Leaf Disease Detection. ICCCNT (2021)
Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. ICCV (2021)
Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation. CoRR (2021)
Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal
Contrast and Classify: Training Robust VQA Models. ICCV (2021)
Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal 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)
Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik
Known unknowns: Learning novel concepts using reasoning-by-elimination. UAI (2021)
Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
Spatially Aware Multimodal Transformers for TextVQA. ECCV (9) (2020)
Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal
Contrast and Classify: Alternate Training for Robust VQA. CoRR (2020)
Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
Spatially Aware Multimodal Transformers for TextVQA. CoRR (2020)
Harsh Agrawal, Peter Anderson, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee
nocaps: novel object captioning at scale. ICCV (2019)
Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. ICCV (2019)
Deshraj Yadav, Rishabh Jain, Harsh Agrawal, Prithvijit Chattopadhyay, Taranjeet Singh, Akash Jain, Shivkaran Singh, Stefan Lee, Dhruv Batra
EvalAI: Towards Better Evaluation Systems for AI Agents. CoRR (2019)
Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. CoRR (2019)
Harsh Agrawal, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, Peter Anderson
nocaps: novel object captioning at scale. CoRR (2018)
Utsav Garg, Viraj Prabhu, Deshraj Yadav, Ram Ramrakhya, Harsh Agrawal, Dhruv Batra
Fabrik: An Online Collaborative Neural Network Editor. CoRR (2018)
Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Comput. Vis. Image Underst. 163 (2017)
Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? CoRR (2016)
Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohit Bansal
Sort Story: Sorting Jumbled Images and Captions into Stories. EMNLP (2016)
Neelima Chavali, Harsh Agrawal, Aroma Mahendru, Dhruv Batra
Object-Proposal Evaluation Protocol is 'Gameable'. CVPR (2016)
Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra
Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions? EMNLP (2016)
Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohit Bansal
Sort Story: Sorting Jumbled Images and Captions into Stories. CoRR (2016)
Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? CoRR (2016)
Neelima Chavali, Harsh Agrawal, Aroma Mahendru, Dhruv Batra
Object-Proposal Evaluation Protocol is 'Gameable'. CoRR (2015)
Harsh Agrawal, Clint Solomon Mathialagan, Yash Goyal, Neelima Chavali, Prakriti Banik, Akrit Mohapatra, Ahmed Osman, Dhruv Batra
CloudCV: Large Scale Distributed Computer Vision as a Cloud Service. CoRR (2015)