Juan Carlos Niebles

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Citations	12170	8661
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Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Bernard GhanemAssociate Professor, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Victor EscorciaSamsung AI Center - CambridgeVerified email at kaust.edu.sa
De-An HuangStanford UniversityVerified email at cs.stanford.edu
Ehsan AdeliStanford UniversityVerified email at stanford.edu
Fabian Caba HeilbronResearch Assistant, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Shyamal BuchStanford UniversityVerified email at stanford.edu
Mani Golparvar-FardProfessor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Alvaro SotoProfessor Universidad Catolica de ChileVerified email at ing.puc.cl
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
Jingwei JiResearch Scientist, WaymoVerified email at waymo.com
Ranjay KrishnaUniversity of Washington, Facebook AI ResearchVerified email at fb.com
Adrien GaidonHead of Machine Learning Research, Toyota Research Institute (TRI)Verified email at tri.global
Min SunChief AI Scientist at Appier Inc. and Associate Professor at National Tsing Hua University, EE deptVerified email at ee.nthu.edu.tw
Hongcheng WangDirector of Machine Learning, Comcast AIVerified email at comcast.com
Bingbin LiuPhD Student in Machine Learning Department, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Kuan-Hui LeeToyota Research InstituteVerified email at tri.global
Kuo-Hao ZengUniversity of Washington, Computer Science & EngineeringVerified email at cs.washington.edu
Yoav ShohamProfessor (emeritus)Verified email at cs.stanford.edu
Kenji HataGoogle, Princeton University, Stanford UniversityVerified email at google.com

Juan Carlos Niebles

Research Director (Salesforce) & Adjunct Professor (Stanford University)

Verified email at cs.stanford.edu - Homepage

Action Recognition Video Understanding Video Analysis Computer Vision


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Unsupervised learning of human action categories using spatial-temporal words JC Niebles, H Wang, L Fei-Fei International journal of computer vision 79 (3), 299-318, 2008	2209	2008
Activitynet: A large-scale video benchmark for human activity understanding F Caba Heilbron, V Escorcia, B Ghanem, JC Niebles Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	1603	2015
Modeling temporal structure of decomposable motion segments for activity classification JC Niebles, CW Chen, L Fei-Fei European conference on computer vision, 392-405, 2010	900	2010
Dense-Captioning Events in Videos R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles Proceedings of the IEEE International Conference on Computer Vision, 706-715, 2017	661	2017
A hierarchical model of shape and appearance for human action classification JC Niebles, L Fei-Fei 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007	587	2007
DAPs: Deep Action Proposals for Action Understanding V Escorcia, F Caba Heilbron, JC Niebles, B Ghanem European Conference on Computer Vision, 2016	378	2016
SST: Single-Stream Temporal Action Proposals S Buch, V Escorcia, C Shen, B Ghanem, JC Niebles IEEE Conference on Computer Vision and Pattern Recognition, 2017	365	2017
Spatial-temporal correlatons for unsupervised action classification S Savarese, A DelPozo, JC Niebles, L Fei-Fei 2008 IEEE Workshop on Motion and video Computing, 1-8, 2008	269	2008
Fast temporal activity proposals for efficient detection of human actions in untrimmed videos F Caba Heilbron, JC Niebles, B Ghanem Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	262	2016
Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors M Memarzadeh, M Golparvar-Fard, JC Niebles Automation in Construction 32, 24-37, 2013	243	2013
Peeking into the future: Predicting future person activities and locations in videos J Liang, L Jiang, JC Niebles, AG Hauptmann, L Fei-Fei Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	241	2019
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	235	2021
Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers M Golparvar-Fard, A Heydarian, JC Niebles Advanced Engineering Informatics 27 (4), 652-663, 2013	235	2013
Learning to decompose and disentangle representations for video prediction JT Hsieh, B Liu, DA Huang, L Fei-Fei, JC Niebles Advances in Neural Information Processing Systems, 517-526, 2018	216	2018
The AI index 2019 annual report R Perrault, Y Shoham, E Brynjolfsson, J Clark, J Etchemendy, B Grosz, ... AI Index Steering Committee, Human-Centered AI Institute, Stanford …, 2019	214*	2019
Connectionist Temporal Modeling for Weakly Supervised Action Labeling DA Huang, L Fei-Fei, JC Niebles European Conference on Computer Vision, 2016	210	2016
End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos S Buch, V Escorcia, B Ghanem, L Fei-Fei, JC Niebles British Machine Vision Conference (BMVC), 2017	184	2017
The AI index 2018 annual report Y Shoham, R Perrault, E Brynjolfsson, J Clark, J Manyika, JC Niebles, ... Stanford University Available from http://cdn. aiindex. org/2018/AI% 20Index, 2018	137	2018
Leveraging video descriptions to learn video question answering KH Zeng, TH Chen, CY Chuang, YH Liao, JC Niebles, M Sun Thirty-First AAAI Conference on Artificial Intelligence, 2017	133	2017
The AI index 2021 annual report D Zhang, S Mishra, E Brynjolfsson, J Etchemendy, D Ganguli, B Grosz, ... arXiv preprint arXiv:2103.06312, 2021	120	2021

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