Követés
Juan Carlos Niebles
Juan Carlos Niebles
Research Director (Salesforce) & Adjunct Professor (Stanford University)
E-mail megerősítve itt: cs.stanford.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
46762021
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
30992015
Unsupervised learning of human action categories using spatial-temporal words
JC Niebles, H Wang, L Fei-Fei
International journal of computer vision 79, 299-318, 2008
22942008
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
15272017
Modeling temporal structure of decomposable motion segments for activity classification
JC Niebles, CW Chen, L Fei-Fei
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
10122010
The AI index 2021 annual report
D Zhang, S Mishra, E Brynjolfsson, J Etchemendy, D Ganguli, B Grosz, ...
arXiv preprint arXiv:2103.06312, 2021
709*2021
The AI index 2023 annual report
N Maslej, L Fattorini, E Brynjolfsson, J Etchemendy, K Ligett, T Lyons, ...
AI Index Steering Committee, Institute for Human-Centered AI, Stanford …, 2023
619*2023
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
5922007
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
5292017
DAPs: Deep Action Proposals for Action Understanding
V Escorcia, F Caba Heilbron, JC Niebles, B Ghanem
European Conference on Computer Vision, 2016
4972016
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
4862019
Action genome: Actions as compositions of spatio-temporal scene graphs
J Ji, R Krishna, L Fei-Fei, JC Niebles
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3992020
The AI Index 2019 Annual Report
R Perrault
AI Index Steering Committee, Human-Centered AI Institute, 2019
373*2019
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
3712018
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
3472016
Spatio-temporal graph for video captioning with knowledge distillation
B Pan, H Cai, DA Huang, KH Lee, A Gaidon, E Adeli, JC Niebles
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3412020
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
3272013
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
3132013
Few-shot video classification via temporal alignment
K Cao, J Ji, Z Cao, CY Chang, JC Niebles
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2972020
Connectionist Temporal Modeling for Weakly Supervised Action Labeling
DA Huang, L Fei-Fei, JC Niebles
European Conference on Computer Vision, 2016
2872016
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Cikkek 1–20