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Christopher Kanan

University of Rochester · US
Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, and AI in cancer detection.
h-index
40
citations
10,664
works
183
NIH funding
primary concept
Artificial intelligence
email

Recent publications

Continual Anomaly Detection: A Comprehensive Survey and Research Roadmap
2026cited by 0position: contributordoi
Inference of three-dimensional hot-spot and shell morphology in inertial confinement fusion experiments using a convolutional neural network
Physical Review Research 2025cited by 1position: contributordoi
A foundation model for clinical-grade computational pathology and rare cancers detection.
2024cited by 190position: contributordoi
Learning to Evaluate the Artness of AI-Generated Images
IEEE Transactions on Multimedia 2024cited by 17position: contributordoi
A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms.
2024cited by 14position: contributordoi
Deep learning-based predictive models for laser direct drive at the Omega Laser Facility
Physics of Plasmas 2024cited by 2position: contributordoi
Supplementary Data from A Genomics-Driven Artificial Intelligence<b>–</b>Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers <i>CDH1</i> Inactivating Mechanisms
2024cited by 0position: contributordoi
Data from A Genomics-Driven Artificial Intelligence<b>–</b>Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers <i>CDH1</i> Inactivating Mechanisms
2024cited by 0position: contributordoi
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
Lecture Notes in Computer Science 2022cited by 6position: contributordoi
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Proceedings of the Second International Conference on AI-ML Systems 2022cited by 2position: contributordoi
Avalanche: An end-to-end library for continual learning
CINECA IRIS Institutial research information system (University of Pisa) 2021cited by 122position: middledoi
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Neural Computation 2021cited by 100position: lastdoi
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Lecture notes in computer science 2020cited by 232position: lastdoi
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Lecture Notes in Computer Science 2020cited by 160position: contributordoi
A negative case analysis of visual grounding methods for VQA
2020cited by 52position: lastdoi
Continual lifelong learning with neural networks: A review
Neural Networks 2019cited by 2,959position: middledoi
Continual lifelong learning with neural networks: A review.
2019cited by 421position: contributordoi
Answer Them All! Toward Universal Visual Question Answering Models
2019cited by 81position: lastdoi
Challenges and Prospects in Vision and Language Research
Frontiers in Artificial Intelligence 2019cited by 47position: lastdoi
Humans have idiosyncratic and task-specific scanpaths for judging faces
Vision Research 2015cited by 98position: firstdoi
Color-to-Grayscale: Does the Method Matter in Image Recognition?
PLoS ONE 2012cited by 375position: firstdoi

Grants

CAREER: Brain-inspired Methods for Continual Learning of Large-scale Vision and Language Tasks
NSF2326491$510,6482022–2026PIRePORTER
CAREER: Brain-inspired Methods for Continual Learning of Large-scale Vision and Language Tasks
NSF2047556$549,9882021–2023PIRePORTER
RI: Small: Lifelong Multimodal Concept Learning
NSF1909696$499,9602019–2023PIRePORTER

Frequent collaborators

· 9 papers (2019–2026) · 4 papers (2019–2020) · 4 papers (2019–2020)Roberto Corizzo · American University2 papers (2022–2026)Kushal Kafle · Adobe Systems (United States)2 papers (2020–2022)Tyler Hayes · 2 papers (2020–2022)Robik Shrestha · 2 papers (2020–2022)V. Gopalaswamy · AIP Publishing LLC2 papers (2024–2025)Kamil Faber · AGH University of Krakow2 papers (2022–2026)Garrison W. Cottrell · University of California San Diego2 papers (2012–2015) · 2 papers (2020–2021)Janet H. Hsiao · City University of Hong Kong1 papers (2015–2015)P. V. Heuer · University of Rochester1 papers (2025–2025)Aswin Raghavan · Oregon State University1 papers (2022–2022)C. Stoeckl · Energetics (United States)1 papers (2025–2025)P. B. Radha · AIP Publishing LLC1 papers (2025–2025)Gianmarco Gallardo · 1 papers (2022–2022)J. Buck · 1 papers (2025–2025)Mustafa Burak Gurbuz · 1 papers (2022–2022)Vincenzo Lomonaco · Springer Nature1 papers (2026–2026)