Joseph Redmon

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Citations	28119	28036
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20162017201820192020271 1722 5044 10015 10822

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Ali FarhadiAssociate Professor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.edu
Santosh Kumar DivvalaAI2, UWVerified email at uw.edu
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Mohammad RastegariSenior AI/ML Manager at Apple Inc.Verified email at cs.washington.edu
Vicente OrdonezAssistant Professor, Computer Science, University of VirginiaVerified email at virginia.edu
Anelia AngelovaResearch Scientist, GoogleVerified email at google.com
Daniel GordonUniversity of WashingtonVerified email at cs.washington.edu
Aniruddha KembhaviResearch Manager, PRIOR, Allen Institute of Artificial IntelligenceVerified email at allenai.org
Dieter FoxProfessor of Computer Science and Engineering, University of Washington, and Nvidia ResearchVerified email at cs.washington.edu
Kiana EhsaniResearch Scientist @ PRIOR, AI2Verified email at allenai.org
Hessam BagherinezhadUniversity of WashingtonVerified email at cs.washington.edu
Roozbeh MottaghiAllen Institute for Artificial IntelligenceVerified email at cs.stanford.edu

Joseph Redmon

University of Washington

Verified email at cs.washington.edu - Homepage

Type Theory Computer Vision Machine Learning


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You only look once: Unified, real-time object detection J Redmon, S Divvala, R Girshick, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …, 2016	12607	2016
YOLO9000: Better, Faster, Stronger. J Redmon, A Farhadi Proceedings of the IEEE conference on computer vision and pattern recognition, 2017	6407	2017
Yolov3: An incremental improvement J Redmon, A Farhadi arXiv preprint arXiv:1804.02767, 2018	5238	2018
Xnor-net: Imagenet classification using binary convolutional neural networks M Rastegari, V Ordonez, J Redmon, A Farhadi European conference on computer vision, 525-542, 2016	2655	2016
Darknet: Open source neural networks in c J Redmon http://pjreddie.com/darknet, 2014	606*	2014
Real-time grasp detection using convolutional neural networks J Redmon, A Angelova 2015 IEEE International Conference on Robotics and Automation (ICRA), 1316-1322, 2015	409	2015
IQA: Visual Question Answering in Interactive Environments D Gordon, A Kembhavi, M Rastegari, J Redmon, D Fox, A Farhadi Proceedings of the IEEE conference on computer vision and pattern recognition, 2018	167	2018
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data K Ehsani, H Bagherinezhad, J Redmon, R Mottaghi, A Farhadi Proceedings of the IEEE conference on computer vision and pattern recognition, 2018	24	2018
How computers learn to recognise objects instantly J Redmon Filmed April, 2017	4	2017
Determining grasping parameters for grasping of an object by a robot grasping end effector J Redmon, A Angelova US Patent 10,089,575, 2018	2	2018
Enabling AI at the edge with XNOR-networks M Rastegari, V Ordonez, J Redmon, A Farhadi Communications of the ACM 63 (12), 83-90, 2020		2020
Image based object detection J Redmon, A Farhadi US Patent App. 16/751,141, 2020		2020
ProverBot9000: Neural Networks for Proof Assistance J Redmon, A Sanchez-Stern

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