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Harsh Agrawal
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2020 – today
- 2024
- [j2]Shailendra S. Aote
, Nisha Wankhade
An improved deep learning method for flying object detection and recognition. Signal Image Video Process. 18(1): 143-152 (2024) - [c17]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 - [i17]Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev:
Grounding Multimodal Large Language Models in Actions. CoRR abs/2406.07904 (2024) - 2023
- [c16]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: 1169-1178 - [c15]Harsh Agrawal, Aditya Mishra, Manish Gupta, Mausam:
Multimodal Persona Based Generation of Comic Dialogs. ACL (1) 2023: 14150-14164 - [c14]Harsh Agrawal, Mohnish Sankhe, Arnav Chaudhari, Deepak Karia, Narendra Bhagat, Najib Ghatte
Securitizing Microcredits Using blockchain. BigDataSecurity/HPSC/IDS 2023: 91-95 - [c13]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: 393-398 - [i16]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 abs/2310.17722 (2023) - 2022
- [c12]Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal:
Housekeep: Tidying Virtual Households Using Commonsense Reasoning. ECCV (39) 2022: 355-373 - [i15]Jing Yu Koh, Harsh Agrawal
Simple and Effective Synthesis of Indoor 3D Scenes. CoRR abs/2204.02960 (2022) - [i14]Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal:
Housekeep: Tidying Virtual Households using Commonsense Reasoning. CoRR abs/2205.10712 (2022) - 2021
- [c11]Aryan Methil, Harsh Agrawal, Varadh Kaushik:
One-vs-All Methodology based Cassava Leaf Disease Detection. ICCCNT 2021: 1-7 - [c10]Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal:
Contrast and Classify: Training Robust VQA Models. ICCV 2021: 1584-1593 - [c9]Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing:
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. ICCV 2021: 16107-16116 - [c8]Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra:
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation. NeurIPS 2021: 7357-7367 - [c7]Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik:
Known unknowns: Learning novel concepts using reasoning-by-elimination. UAI 2021: 504-514 - [i13]Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing:
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. CoRR abs/2108.11550 (2021) - [i12]Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra:
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation. CoRR abs/2110.14143 (2021) - 2020
- [c6]Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal:
Spatially Aware Multimodal Transformers for TextVQA. ECCV (9) 2020: 715-732 - [i11]Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal:
Spatially Aware Multimodal Transformers for TextVQA. CoRR abs/2007.12146 (2020) - [i10]Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal:
Contrast and Classify: Alternate Training for Robust VQA. CoRR abs/2010.06087 (2020)
2010 – 2019
- 2019
- [c5]Jyoti Aneja, Harsh Agrawal
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. ICCV 2019: 4260-4269 - [c4]Harsh Agrawal
nocaps: novel object captioning at scale. ICCV 2019: 8947-8956 - [i9]Deshraj Yadav, Rishabh Jain, Harsh Agrawal
EvalAI: Towards Better Evaluation Systems for AI Agents. CoRR abs/1902.03570 (2019) - [i8]Jyoti Aneja, Harsh Agrawal
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. CoRR abs/1908.08529 (2019) - 2018
- [i7]Utsav Garg, Viraj Prabhu, Deshraj Yadav, Ram Ramrakhya, Harsh Agrawal
Fabrik: An Online Collaborative Neural Network Editor. CoRR abs/1810.11649 (2018) - [i6]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 abs/1812.08658 (2018) - 2017
- [j1]Abhishek Das, Harsh Agrawal
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Comput. Vis. Image Underst. 163: 90-100 (2017) - 2016
- [c3]Neelima Chavali, Harsh Agrawal
Object-Proposal Evaluation Protocol is 'Gameable'. CVPR 2016: 835-844 - [c2]Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohit Bansal:
Sort Story: Sorting Jumbled Images and Captions into Stories. EMNLP 2016: 925-931 - [c1]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: 932-937 - [i5]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 abs/1606.03556 (2016) - [i4]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 abs/1606.05589 (2016) - [i3]Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohit Bansal:
Sort Story: Sorting Jumbled Images and Captions into Stories. CoRR abs/1606.07493 (2016) - 2015
- [p1]Harsh Agrawal
CloudCV: Large-Scale Distributed Computer Vision as a Cloud Service. Mobile Cloud Visual Media Computing 2015: 265-290 - [i2]Neelima Chavali, Harsh Agrawal, Aroma Mahendru, Dhruv Batra:
Object-Proposal Evaluation Protocol is 'Gameable'. CoRR abs/1505.05836 (2015) - [i1]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 abs/1506.04130 (2015)
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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