Amitangshu Mukherjee

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2016

Domain Adaptation and Few-Shot Learning Generative Adversarial Networks and Image Synthesis Adversarial Robustness in Machine Learning Machine Learning and Data Classification Advanced Neural Network Applications

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2016

Research summary

AI-generated

Amitangshu Mukherjee works on machine learning methods that help computer vision systems handle changes in data, such as new environments or unusual conditions, with a focus on applications like autonomous driving. This includes techniques for generating synthetic training data, adapting models trained in one domain to work in another, and studying how deep learning classifiers can be fooled by subtle, meaningful changes to images.

Domain adaptation for computer visionGenerative models for data augmentationRobustness and adversarial attacks in deep learningAutonomous driving perception systemsHandling data distribution shifts in neural networks

Publication output was concentrated in 2019, dropped off in 2020, and has continued at a low, irregular pace of about one paper per year since then.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 0.8/year recently

Recent publications

Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift
IEEE Transactions on Artificial Intelligence · 2023
Generative Semantic Domain Adaptation for Perception in Autonomous Driving
Journal of Big Data Analytics in Transportation · 2022
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift
arXiv (Cornell University) · 2021
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models
Computer Vision and Pattern Recognition · 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
2019
Semantic Domain Adaptation for Deep Networks via GAN-based Data Augmentation for Autonomous Driving
2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep\n Classifiers
arXiv (Cornell University) · 2019
Intelligent task repeatability of an industrial robotic arm
2016

Publishes in

arXiv (Cornell University)×3
Journal of Big Data Analytics in Transportation×1
Computer Vision and Pattern Recognition×1
IEEE Transactions on Artificial Intelligence×1
IEEE Transactions on Cognitive and Developmental Systems×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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