Prithvijit Chattopadhyay

According to our database1, Prithvijit Chattopadhyay authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline.
Trans. Mach. Learn. Res., 2024

AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding.
CoRR, 2023

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Benchmarking Low-Shot Robustness to Natural Distribution Shifts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Learning to Balance Specificity and Invariance for In and Out of Domain Generalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning.
CoRR, 2019

EvalAI: Towards Better Evaluation Systems for AI Agents.
CoRR, 2019

Improving Generative Visual Dialog by Answering Diverse Questions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Do explanations make VQA models more predictable to a human?
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
It Takes Two to Tango: Towards Theory of AI's Mind.
CoRR, 2017

Evaluating Visual Conversational Agents via Cooperative Human-AI Games.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

Counting Everyday Objects in Everyday Scenes.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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