Ali Farhadi

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Joseph RedmonUniversity of WashingtonVerified email at cs.washington.edu
Mohammad RastegariSenior AI/ML Manager at Apple Inc.Verified email at cs.washington.edu
Santosh Kumar DivvalaAI2, UWVerified email at uw.edu
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Aniruddha KembhaviResearch Manager, PRIOR, Allen Institute of Artificial IntelligenceVerified email at allenai.org
Roozbeh MottaghiAllen Institute for Artificial IntelligenceVerified email at cs.stanford.edu
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignVerified email at uiuc.edu
Minjoon SeoKAISTVerified email at kaist.ac.kr
Ian EndresHOVERVerified email at uiuc.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Derek HoiemAssociate Professor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityVerified email at rice.edu
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
Hessam BagherinezhadUniversity of WashingtonVerified email at cs.washington.edu
Gunnar Atli SigurdssonAmazonVerified email at cs.cmu.edu
Junyuan XieUniversity of WashingtonVerified email at uw.edu
Xiaolong WangAssistant Professor, UC San DiegoVerified email at eng.ucsd.edu
Mark YatskarUniversity of PennsylvaniaVerified email at cis.upenn.edu

Ali Farhadi

Professor, Computer Science and Engineering, University of Washington

Verified email at cs.uw.edu - Homepage

Computer Vision Machine learning Artificial Intelligence


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 CVPR, 2016	24359	2016
Yolov3: An incremental improvement J Redmon, A Farhadi arXiv preprint arXiv:1804.02767, 2018	12949	2018
YOLO9000: Better, Faster, Stronger J Redmon, A Farhadi CVPR, 2017	11948	2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M Rastegari, V Ordonez, J Redmon, A Farhadi ECCV, 2016	3935	2016
Describing objects by their attributes A Farhadi, I Endres, D Hoiem, D Forsyth Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009	2153	2009
Unsupervised Deep Embedding for Clustering Analysis J Xie, R Girshick, A Farhadi ICML, 2016	1808	2016
Bidirectional Attention Flow for Machine Comprehension M Seo, A Kembhavi, A Farhadi, H Hajishirzi ICLR, 2017	1708	2017
Target-driven visual navigation in indoor scenes using deep reinforcement learning Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei-Fei, A Farhadi ICRA, 2017	1239	2017
Every picture tells a story: Generating sentences from images A Farhadi, M Hejrati, MA Sadeghi, P Young, C Rashtchian, ... European conference on computer vision, 15-29, 2010	1227	2010
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta ECCV, 2016	759	2016
Recognition using visual phrases MA Sadeghi, A Farhadi CVPR 2011, 1745-1752, 2011	479	2011
Defending against neural fake news R Zellers, A Holtzman, H Rashkin, Y Bisk, A Farhadi, F Roesner, Y Choi Advances in neural information processing systems 32, 2019	430	2019
Understanding egocentric activities A Fathi, A Farhadi, JM Rehg 2011 international conference on computer vision, 407-414, 2011	425	2011
YOLOv3: an incremental improvement (2018) J Redmon, A Farhadi arXiv preprint arXiv:1804.02767 20, 1804	405	1804
Yolov3: An incremental improvement R Joseph, F Ali arXiv preprint arXiv:1804.02767, 1-6, 2018	397*	2018
From recognition to cognition: Visual commonsense reasoning R Zellers, Y Bisk, A Farhadi, Y Choi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	386	2019
Ai2-thor: An interactive 3d environment for visual ai E Kolve, R Mottaghi, W Han, E VanderBilt, L Weihs, A Herrasti, D Gordon, ... arXiv preprint arXiv:1712.05474, 2017	377	2017
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks J Xie, R Girshick, A Farhadi ECCV, 2016	376	2016
Learning Everything about Anything: Webly-Supervised Visual Concept Learning SK Divvala, A Farhadi, C Guestrin CVPR, 2014	339	2014
Actions~ Transformations X Wang, A Farhadi, A Gupta CVPR, 2016	298	2016

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