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Juan Carlos Niebles
Juan Carlos Niebles
Research Director (Salesforce) & Adjunct Professor (Stanford University)
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
22092008
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
16032015
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
9002010
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
6612017
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
5872007
DAPs: Deep Action Proposals for Action Understanding
V Escorcia, F Caba Heilbron, JC Niebles, B Ghanem
European Conference on Computer Vision, 2016
3782016
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
3652017
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
2692008
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
2622016
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
2432013
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
2412019
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
2352021
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
2352013
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
2162018
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
2102016
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
1842017
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
1372018
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
1332017
The AI index 2021 annual report
D Zhang, S Mishra, E Brynjolfsson, J Etchemendy, D Ganguli, B Grosz, ...
arXiv preprint arXiv:2103.06312, 2021
1202021
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