Prithvijit Chattopadhyay
13 papers · 2017–2024 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(9)
Application Areas
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Computer Vision
(5)
Artificial Intelligence
(4)
Core AI Β· Artificial Intelligence
(4)
Deep Learning
(3)
Reinforcement Learning
(3)
Analysis
(3)
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Core AI Β· Computer Vision
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Learning Types Β· Deep Learning
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Keywords
domain generalization
(4)
self-supervised learning
(2)
visual question answering
(2)
data augmentation
(2)
reinforcement learning
(2)
scene understanding
(1)
computer vision
(1)
semantic segmentation
(1)
object counting
(1)
distribution shift
(1)
explanation generation
(1)
visual navigation
(1)
unsupervised domain adaptation
(1)
question generation
(1)
model interpretability
(1)
visual dialog
(1)
object detection
(1)
partial observability
(1)
transfer learning
(1)
information theory
(1)
Papers
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
ICLR 2024
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
ECCV 2024
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
NeurIPS 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
ICCV 2023
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
NeurIPS 2023
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
ICCV 2023
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
ICCV 2021
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
IJCAI 2020
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
ECCV 2020
Improving Generative Visual Dialog by Answering Diverse Questions
EMNLP 2019
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
ECCV 2018
Do explanations make VQA models more predictable to a human?
EMNLP 2018
Counting Everyday Objects in Everyday Scenes
CVPR 2017