Ali Farhadi

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Citations	158416	143423
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Joseph RedmonUniversity of WashingtonVerified email at cs.washington.edu
Mohammad RastegariDistinguished AI Scientist at Meta Inc.Verified email at cs.washington.edu
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial IntelligenceVerified email at allenai.org
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Roozbeh MottaghiFAIR, MetaVerified email at cs.stanford.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ludwig SchmidtStanford University and AnthropicVerified email at cs.washington.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignVerified email at uiuc.edu
Santosh Kumar DivvalaAI2, UWVerified email at uw.edu
Minjoon SeoKAISTVerified email at kaist.ac.kr
Aditya KusupatiGoogle DeepMindVerified email at google.com
Gabriel IlharcoxAIVerified email at cs.washington.edu
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)Verified email at allenai.org
Ian EndresHOVERVerified email at uiuc.edu
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityVerified email at rice.edu
Hessam BagherinezhadUniversity of WashingtonVerified email at cs.washington.edu
Gunnar Atli SigurdssonAmazonVerified email at cs.cmu.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	55060	2016
Yolov3: An incremental improvement J Redmon arXiv preprint arXiv:1804.02767, 2018	31198	2018
YOLO9000: Better, Faster, Stronger J Redmon, A Farhadi CVPR, 2017	24060	2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M Rastegari, V Ordonez, J Redmon, A Farhadi ECCV, 2016	5803	2016
Unsupervised Deep Embedding for Clustering Analysis J Xie, R Girshick, A Farhadi ICML, 2016	3663	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	2531	2009
Bidirectional Attention Flow for Machine Comprehension M Seo, A Kembhavi, A Farhadi, H Hajishirzi ICLR, 2017	2404	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	1926	2017
Every picture tells a story: Generating sentences from images A Farhadi, M Hejrati, MA Sadeghi, P Young, C Rashtchian, ... Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010	1608	2010
Hellaswag: Can a machine really finish your sentence? R Zellers, A Holtzman, Y Bisk, A Farhadi, Y Choi arXiv preprint arXiv:1905.07830, 2019	1605	2019
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta ECCV, 2016	1448	2016
Yolov3: an incremental improvement (2018) J Redmon, A Farhadi arXiv preprint arXiv:1804.02767 20, 1804	1372	1804
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	1126	2019
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	974	2019
Ok-vqa: A visual question answering benchmark requiring external knowledge K Marino, M Rastegari, A Farhadi, R Mottaghi Proceedings of the IEEE/cvf conference on computer vision and pattern …, 2019	945	2019
Ai2-thor: An interactive 3d environment for visual ai E Kolve, R Mottaghi, W Han, E VanderBilt, L Weihs, A Herrasti, M Deitke, ... arXiv preprint arXiv:1712.05474, 2017	937	2017
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time M Wortsman, G Ilharco, SY Gadre, R Roelofs, R Gontijo-Lopes, ... International conference on machine learning, 23965-23998, 2022	847	2022
Yolov3: An incremental improvement A Farhadi, J Redmon Computer vision and pattern recognition 1804, 1-6, 2018	846	2018
Robust fine-tuning of zero-shot models M Wortsman, G Ilharco, JW Kim, M Li, S Kornblith, R Roelofs, RG Lopes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	633	2022
Objaverse: A universe of annotated 3d objects M Deitke, D Schwenk, J Salvador, L Weihs, O Michel, E VanderBilt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	632	2023

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