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ORCIDPrithvijit Chattopadhyay
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Journal Articles
- 2024
[j1]Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Judy Hoffman, Prithvijit Chattopadhyay, Viraj Prabhu:
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. Trans. Mach. Learn. Res. 2024 (2024)
Conference and Workshop Papers
- 2024
- [c14]Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman:
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. ICLR 2024 - 2023
- [c13]Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman:
Benchmarking Low-Shot Robustness to Natural Distribution Shifts. ICCV 2023: 16186-16196 - [c12]Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman:
Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. ICCV 2023: 19231-19243 - [c11]Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein:
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. NeurIPS 2023 - [c10]Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman:
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. NeurIPS 2023 - 2021
- [c9]Prithvijit Chattopadhyay, Judy Hoffman
, Roozbeh Mottaghi, Aniruddha Kembhavi:
RobustNav: Towards Benchmarking Robustness in Embodied Navigation. ICCV 2021: 15671-15680 - 2020
- [c8]Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman:
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. ECCV Workshops (1) 2020: 39-54 - [c7]Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman:
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. ECCV (9) 2020: 301-318 - [c6]Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam:
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL. IJCAI 2020: 2022-2028 - 2019
- [c5]Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das:
Improving Generative Visual Dialog by Answering Diverse Questions. EMNLP/IJCNLP (1) 2019: 1449-1454 - 2018
- [c4]Ramprasaath R. Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee:
Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance. ECCV (13) 2018: 540-556 - [c3]Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh:
Do explanations make VQA models more predictable to a human? EMNLP 2018: 1036-1042 - 2017
- [c2]Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh:
Counting Everyday Objects in Everyday Scenes. CVPR 2017: 4428-4437 - [c1]Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh:
Evaluating Visual Conversational Agents via Cooperative Human-AI Games. HCOMP 2017: 2-10
Informal and Other Publications
- 2024
- [i18]Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Prithvijit Chattopadhyay, Judy Hoffman, Viraj Prabhu:
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline. CoRR abs/2402.00868 (2024) - 2023
- [i17]Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman:
Benchmarking Low-Shot Robustness to Natural Distribution Shifts. CoRR abs/2304.11263 (2023) - [i16]Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman:
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images. CoRR abs/2305.19164 (2023) - [i15]Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein:
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. CoRR abs/2310.19909 (2023) - [i14]Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Prabhu, Judy Hoffman:
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images. CoRR abs/2312.06106 (2023) - [i13]Sahil Khose, Anisha Pal, Aayushi Agarwal, Deepanshi, Judy Hoffman, Prithvijit Chattopadhyay:
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding. CoRR abs/2312.06719 (2023) - 2022
- [i12]Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman:
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. CoRR abs/2212.00979 (2022) - 2021
- [i11]Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi:
RobustNav: Towards Benchmarking Robustness in Embodied Navigation. CoRR abs/2106.04531 (2021) - 2020
- [i10]Fu Lin, Rohit Mittapalli, Prithvijit Chattopadhyay, Daniel Bolya, Judy Hoffman:
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses. CoRR abs/2008.11300 (2020) - [i9]Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman:
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization. CoRR abs/2008.12839 (2020) - 2019
- [i8]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 abs/1902.03570 (2019) - [i7]Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam:
Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning. CoRR abs/1907.10580 (2019) - [i6]Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das:
Improving Generative Visual Dialog by Answering Diverse Questions. CoRR abs/1909.10470 (2019) - 2018
- [i5]Ramprasaath R. Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee:
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance. CoRR abs/1808.02861 (2018) - [i4]Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh:
Do Explanations make VQA Models more Predictable to a Human? CoRR abs/1810.12366 (2018) - 2017
- [i3]Arjun Chandrasekaran, Deshraj Yadav, Prithvijit Chattopadhyay, Viraj Prabhu, Devi Parikh:
It Takes Two to Tango: Towards Theory of AI's Mind. CoRR abs/1704.00717 (2017) - [i2]Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh:
Evaluating Visual Conversational Agents via Cooperative Human-AI Games. CoRR abs/1708.05122 (2017) - 2016
- [i1]Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh:
Counting Everyday Objects in Everyday Scenes. CoRR abs/1604.03505 (2016)
Coauthor Index
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