Canny, John

A Computational Approach to Edge Detection

Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Image and Object Detection TechniquesImage and Signal Denoising Methods

Cited by 30,004

Evaluating Protein Transfer Learning with TAPE

Rao, R., Bhattacharya, N., Thomas, N., Duan, Y., Chen, X., Canny, J., Abbeel, P., & Song, Y. S. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 719

MSA Transformer

Rao, R., Liu, J., Verkuil, R., Meier, J., Canny, J. F., Abbeel, P., Sercu, T., & Rives, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory)

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 350

Mobile-izing health workers in rural India

Ramachandran, D., Canny, J., Das, P. D., & Cutrell, E. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 200

Risk Averse Robust Adversarial Reinforcement Learning

Pan, X., Seita, D., Gao, Y., & Canny, J. (2019) · 2019 International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsAdversarial Robustness in Machine Learning

Cited by 69

Measuring the Reliability of Reinforcement Learning Algorithms

Chan, S. C. Y., Fishman, S., Canny, J., Korattikara, A., & Guadarrama, S. (2019) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 57

Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules

Kim, J., Moon, S., Rohrbach, A., Darrell, T., & Canny, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyReinforcement Learning in Robotics

Cited by 45

Moral Foundations of Large Language Models

Abdulhai, M., Serapio-García, G., Crepy, C., Valter, D., Canny, J., & Jaques, N. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AIPsychology of Moral and Emotional Judgment

Cited by 45

Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications

Huang, F., & Canny, J. F. (2019) · Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology

Generative Adversarial Networks and Image SynthesisDigital Media and Visual Art

Cited by 23

A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Lee, K.-H., Chen, X., Furuta, H., Canny, J., & Fischer, I. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1