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John Canny

Professor

Department of Electrical Engineering and Computer Science, University of California

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computer science, activity-based computing, livenotes, mechatronic devices, flexonics
ACM Fellow in 2020

Papers417 papers

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Scones - towards conversational authoring of sketches

Forrest Huang, Eldon Schoop, David Ha,John F. Canny

IUI, pp.313-323, (2020)

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Measuring the Reliability of Reinforcement Learning Algorithms

Stephanie C.Y. Chan,Anoop Korattikara, Sam Fishman,John Canny,Sergio Guadarrama

international conference on learning representations, (2020)

Bibtex

The Summary Loop: Learning to Write Abstractive Summaries Without Examples

Philippe Laban, Andrew Hsi,John Canny,Marti A. Hearst

ACL, pp.5135-5150, (2020)

Cited by1EIBibtex

Active Learning for Video Description With Cluster-Regularized Ensemble Ranking

David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross,John F. Canny

asian conference on computer vision, (2020)

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What’s The Latest? A Question-driven News Chatbot

P Laban,J Canny, MA Hearst

Cited by2Bibtex

A Study of Transfer Learning Methods within Natural Language Processing and Reinforcement Learning

S Jeswani, J Gonzalez,JF Canny

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

Jinkyu Kim,Suhong Moon,Anna Rohrbach,Trevor Darrell,John Canny

CVPR, pp.9658-9667, (2020)

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Periphery-Fovea Multi-Resolution Driving Model Guided by Human Attention

Ye Xia, Jinkyu Kim,John F. Canny, Karl Zipser, Teresa Canas-Bajo,David Whitney

WACV, pp.1756-1764, (2020)

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Exploring Exploration: Comparing Children with RL Agents in Unified Environments

Kosoy Eliza, Collins Jasmine, Chan David M., Hamrick Jessica B., Huang Sandy, Gopnik Alison,Canny John

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A Dataset and Benchmarks for Multimedia Social Analysis

Xue Bofan, Chan David,Canny John

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Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor

Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen,Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba

IROS, pp.9651-9658, (2020)

Cited by8EIBibtex

ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations

Seita Daniel, Chan David, Rao Roshan, Tang Chen, Zhao Mandi,Canny John

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Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications

Forrest Huang,John F. Canny

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, (2019): 209-220

Cited by3EIBibtex

Deep Imitation Learning of Sequential Fabric Smoothing Policies

Seita Daniel, Ganapathi Aditya,Hoque Ryan, Hwang Minho, Cen Edward,Tanwani Ajay Kumar,Balakrishna Ashwin, Thananjeyan Brijen, Ichnowski Jeffrey,Jamali Nawid, Yamane Katsu, Iba Soshi

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Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making

Seita Daniel,Jamali Nawid,Laskey Michael,Tanwani Ajay Kumar,Berenstein Ron, Baskaran Prakash, Iba Soshi,Canny John,Goldberg Ken

Cited by19Bibtex

Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention

Ye Xia, Jinkyu Kim,John F. Canny, Karl Zipser,David Whitney

arXiv: Computer Vision and Pattern Recognition, (2019)

EIBibtex

Risk Averse Robust Adversarial Reinforcement Learning

Xinlei Pan, Daniel Seita,Yang Gao,John F. Canny

ICRA, (2019): 8522-8528

Cited by9EIBibtex

Evaluating Protein Transfer Learning with TAPE

Roshan Rao, Nicholas Bhattacharya, Neil Thomas,Yan Duan,Xi Chen,John F. Canny,Pieter Abbeel, Yun S. Song

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 9686-9698

Cited by13EIWOSBibtex

GPU accelerated t-distributed stochastic neighbor embedding

David M. Chan, Roshan Rao, Forrest Huang,John F. Canny

Journal of Parallel and Distributed Computing, (2019): 1-13

Cited by5EIBibtex

Swire - Sketch-based User Interface Retrieval

Forrest Huang,John F. Canny, Jeffrey Nichols

CHI, pp.104, (2019)

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