Joseph Redmon

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	All	Since 2016
Citations	32701	32383
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201620172018201920202021270 1758 5119 10140 13119 1910

Co-authors

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 OrdonezUniversity of Virginia, Assistant Professor, Computer ScienceVerified 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 FoxUniversity of Washington and NVIDIAVerified 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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	14502	2016
YOLO9000: Better, Faster, Stronger. J Redmon, A Farhadi Proceedings of the IEEE conference on computer vision and pattern recognition, 2017	7335	2017
Yolov3: An incremental improvement J Redmon, A Farhadi arXiv preprint arXiv:1804.02767, 2018	6475	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	2926	2016
Darknet: Open source neural networks in c J Redmon http://pjreddie.com/darknet, 2014	680*	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	445	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	187	2018
You only look once: Unified, real-time object detection. arXiv 2015 J Redmon, S Divvala, R Girshick, A Farhadi arXiv preprint arXiv:1506.02640, 2015	56	2015
IEEE Conference on Computer Vision and Pattern Recognition J Redmon, A Farhadi Ieee, 2016	52	2016
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	30	2018
Image based object detection J Redmon, A Farhadi US Patent App. 16/751,141, 2020	8	2020
How computers learn to recognise objects instantly J Redmon Filmed April, 2017	3	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
YOLO: 统一的实时目标检测 J Redmon, S Divvala, R Girshick, A Farhadi
ProverBot9000: Neural Networks for Proof Assistance J Redmon, A Sanchez-Stern

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