Ali Farhadi

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Coauteurs

Joseph RedmonUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Mohammad RastegariDistinguished AI Scientist at Meta Inc.Adresse e-mail validée de cs.washington.edu
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial IntelligenceAdresse e-mail validée de allenai.org
Hannaneh HajishirziUniversity of Washington; Allen AIAdresse e-mail validée de cs.washington.edu
Roozbeh MottaghiFAIR, MetaAdresse e-mail validée de cs.stanford.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceAdresse e-mail validée de cs.washington.edu
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Ludwig SchmidtStanford University and AnthropicAdresse e-mail validée de cs.washington.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignAdresse e-mail validée de uiuc.edu
Santosh Kumar DivvalaAI2, UWAdresse e-mail validée de uw.edu
Minjoon SeoKAISTAdresse e-mail validée de kaist.ac.kr
Aditya KusupatiGoogle DeepMindAdresse e-mail validée de google.com
Gabriel IlharcoxAIAdresse e-mail validée de cs.washington.edu
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)Adresse e-mail validée de allenai.org
Ian EndresHOVERAdresse e-mail validée de uiuc.edu
Dieter FoxUniversity of Washington and NVIDIAAdresse e-mail validée de cs.washington.edu
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityAdresse e-mail validée de rice.edu
Hessam BagherinezhadUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Gunnar Atli SigurdssonAmazonAdresse e-mail validée de cs.cmu.edu
Mark YatskarUniversity of PennsylvaniaAdresse e-mail validée de cis.upenn.edu

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Ali Farhadi

Professor, Computer Science and Engineering, University of Washington

Adresse e-mail validée de cs.uw.edu - Page d'accueil

Computer Vision Machine learning Artificial Intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
You only look once: Unified, real-time object detection J Redmon, S Divvala, R Girshick, A Farhadi CVPR, 2016	54743	2016
Yolov3: An incremental improvement J Redmon arXiv preprint arXiv:1804.02767, 2018	30990	2018
YOLO9000: Better, Faster, Stronger J Redmon, A Farhadi CVPR, 2017	23977	2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M Rastegari, V Ordonez, J Redmon, A Farhadi ECCV, 2016	5793	2016
Unsupervised Deep Embedding for Clustering Analysis J Xie, R Girshick, A Farhadi ICML, 2016	3647	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	2399	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	1923	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	1606	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	1589	2019
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta ECCV, 2016	1444	2016
Yolov3: an incremental improvement (2018) J Redmon, A Farhadi arXiv preprint arXiv:1804.02767 20, 1804	1366	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	1124	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	968	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	933	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	930	2017
Yolov3: An incremental improvement A Farhadi, J Redmon Computer vision and pattern recognition 1804, 1-6, 2018	840	2018
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	823	2022
Fine-tuning pretrained language models: Weight initializations, data orders, and early stopping J Dodge, G Ilharco, R Schwartz, A Farhadi, H Hajishirzi, N Smith arXiv preprint arXiv:2002.06305, 2020	621	2020
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	619	2022

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