Stebėti
Ivan Laptev
Ivan Laptev
Professor at MBZUAI, on leave from INRIA
Patvirtintas el. paštas inria.fr - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Recognizing human actions: a local SVM approach
C Schuldt, I Laptev, B Caputo
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
51952004
On space-time interest points
I Laptev
International journal of computer vision 64, 107-123, 2005
49952005
Learning realistic human actions from movies
I Laptev, M Marszalek, C Schmid, B Rozenfeld
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
46412008
Learning and transferring mid-level image representations using convolutional neural networks
M Oquab, L Bottou, I Laptev, J Sivic
Proceedings of the IEEE conference on computer vision and pattern …, 2014
41192014
Segmenter: Transformer for semantic segmentation
R Strudel, R Garcia, I Laptev, C Schmid
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
18382021
Evaluation of local spatio-temporal features for action recognition
H Wang, MM Ullah, A Klaser, I Laptev, C Schmid
Bmvc 2009-british machine vision conference, 124.1-124.11, 2009
17962009
Actions in context
M Marszalek, I Laptev, C Schmid
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2929-2936, 2009
17082009
Hollywood in homes: Crowdsourcing data collection for activity understanding
GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
14362016
Howto100m: Learning a text-video embedding by watching hundred million narrated video clips
A Miech, D Zhukov, JB Alayrac, M Tapaswi, I Laptev, J Sivic
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
12182019
Long-term temporal convolutions for action recognition
G Varol, I Laptev, C Schmid
IEEE transactions on pattern analysis and machine intelligence 40 (6), 1510-1517, 2017
11622017
Is object localization for free?-weakly-supervised learning with convolutional neural networks
M Oquab, L Bottou, I Laptev, J Sivic
Proceedings of the IEEE conference on computer vision and pattern …, 2015
11592015
Learning from synthetic humans
G Varol, J Romero, X Martin, N Mahmood, MJ Black, I Laptev, C Schmid
Proceedings of the IEEE conference on computer vision and pattern …, 2017
11502017
End-to-end learning of visual representations from uncurated instructional videos
A Miech, JB Alayrac, L Smaira, I Laptev, J Sivic, A Zisserman
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
7972020
THUMOS challenge: Action recognition with a large number of classes
YG Jiang, J Liu, AR Zamir, G Toderici, I Laptev, M Shah, R Sukthankar
7732014
P-cnn: Pose-based cnn features for action recognition
G Chéron, I Laptev, C Schmid
Proceedings of the IEEE international conference on computer vision, 3218-3226, 2015
7582015
The thumos challenge on action recognition for videos “in the wild”
H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah
Computer Vision and Image Understanding 155, 1-23, 2017
6352017
Retrieving actions in movies
I Laptev, P Pérez
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
5862007
Learning joint reconstruction of hands and manipulated objects
Y Hasson, G Varol, D Tzionas, I Kalevatykh, MJ Black, I Laptev, C Schmid
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
5542019
Xcit: Cross-covariance image transformers
A Ali, H Touvron, M Caron, P Bojanowski, M Douze, A Joulin, I Laptev, ...
Advances in neural information processing systems 34, 20014-20027, 2021
5462021
Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering
L Bretzner, I Laptev, T Lindeberg
Proceedings of fifth IEEE international conference on automatic face gesture …, 2002
5372002
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Straipsniai 1–20