Ali Farhadi

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	すべて	2020 年以来
引用	165304	137707
h 指標	89	80
i10 指標	173	154

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71 件の論文

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Joseph RedmonUniversity of Washington確認したメールアドレス: cs.washington.edu
Mohammad RastegariDistinguished AI Scientist at Meta Inc.確認したメールアドレス: cs.washington.edu
Santosh Kumar DivvalaAI2, UW確認したメールアドレス: uw.edu
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial Intelligence確認したメールアドレス: allenai.org
Ross GirshickCo-Founder at Vercept確認したメールアドレス: vercept.com
Roozbeh MottaghiFAIR, Meta確認したメールアドレス: cs.stanford.edu
Hannaneh HajishirziUniversity of Washington; Allen AI確認したメールアドレス: cs.washington.edu
Yejin ChoiStanford University / NVIDIA確認したメールアドレス: stanford.edu
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon University確認したメールアドレス: cs.cmu.edu
Ludwig SchmidtStanford University and Anthropic確認したメールアドレス: stanford.edu
David ForsythProfessor of Computer Science, University of Illinois, Urbana Champaign確認したメールアドレス: uiuc.edu
Minjoon SeoKAIST確認したメールアドレス: kaist.ac.kr
Aditya KusupatiGoogle DeepMind確認したメールアドレス: google.com
Gabriel IlharcoxAI確認したメールアドレス: cs.washington.edu
Dieter FoxUniversity of Washington and NVIDIA確認したメールアドレス: cs.washington.edu
Ian EndresHOVER確認したメールアドレス: uiuc.edu
Vicente OrdóñezAssociate Professor, Computer Science, Rice University確認したメールアドレス: rice.edu
Hessam BagherinezhadUniversity of Washington確認したメールアドレス: cs.washington.edu
Gunnar Atli SigurdssonAmazon確認したメールアドレス: cs.cmu.edu
Mark YatskarUniversity of Pennsylvania確認したメールアドレス: cis.upenn.edu

フォロー

Ali Farhadi

Professor, Computer Science and Engineering, University of Washington

確認したメールアドレス: cs.uw.edu - ホームページ

Computer Vision Machine learning Artificial Intelligence


タイトル引用回数順公開年順タイトル順	引用先引用先	年
You only look once: Unified, real-time object detection J Redmon, S Divvala, R Girshick, A Farhadi CVPR, 2016	57642	2016
Yolov3: An incremental improvement J Redmon arXiv preprint arXiv:1804.02767, 2018	32435	2018
YOLO9000: Better, Faster, Stronger J Redmon, A Farhadi CVPR, 2017	24838	2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M Rastegari, V Ordonez, J Redmon, A Farhadi ECCV, 2016	5933	2016
Unsupervised Deep Embedding for Clustering Analysis J Xie, R Girshick, A Farhadi ICML, 2016	3820	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	2552	2009
Bidirectional Attention Flow for Machine Comprehension M Seo, A Kembhavi, A Farhadi, H Hajishirzi ICLR, 2017	2433	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	1969	2017
Hellaswag: Can a machine really finish your sentence? R Zellers, A Holtzman, Y Bisk, A Farhadi, Y Choi arXiv preprint arXiv:1905.07830, 2019	1836	2019
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	1641	2010
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta ECCV, 2016	1504	2016
Yolov3: an incremental improvement (2018) J Redmon, A Farhadi arXiv preprint arXiv:1804.02767 20, 1804	1432	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	1190	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	1036	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	1020	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	978	2017
Yolov3: An incremental improvement A Farhadi, J Redmon Computer vision and pattern recognition 1804, 1-6, 2018	930	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	926	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	752	2023
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	681	2022

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