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Silvia-Laura Pintea
Silvia-Laura Pintea
Computer vision researcher
Geverifieerd e-mailadres voor lumc.nl - Homepage
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Geciteerd door
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Jaar
Video acceleration magnification
Y Zhang, SL Pintea, JC Van Gemert
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1072017
Deja Vu: Motion Prediction in Static Images
SL Pintea, JC van Gemert, AWM Smeulders
Proceedings of the European Conference on Computer Vision (ECCV) 2014, 172-187, 2014
822014
Deep hough-transform line priors
Y Lin, SL Pintea, JC van Gemert
Proceedings of the European Conference on Computer Vision (ECCV) 2020: 16th …, 2020
592020
One-step time-dependent future video frame prediction with a convolutional encoder-decoder neural network
V Vukotić, SL Pintea, C Raymond, G Gravier, JC Van Gemert
Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017
572017
Divide and count: Generic object counting by image divisions
T Stahl, SL Pintea, JC Van Gemert
IEEE Transactions on Image Processing 28 (2), 1035-1044, 2018
552018
MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video.
CGM Snoek, KEA van de Sande, D Fontijne, AH Habibian, M Jain, ...
TRECVID 1 (2), 3, 2013
462013
No frame left behind: Full video action recognition
X Liu, SL Pintea, FK Nejadasl, O Booij, JC Van Gemert
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
352021
Resolution learning in deep convolutional networks using scale-space theory
SL Pintea, N Tömen, SF Goes, M Loog, JC van Gemert
IEEE Transactions on Image Processing 30, 8342-8353, 2021
302021
Hand-tremor frequency estimation in videos
SL Pintea, J Zheng, X Li, PJM Bank, JJ van Hilten, JC van Gemert
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
212018
Using phase instead of optical flow for action recognition
O Hommos, SL Pintea, PSM Mettes, JC van Gemert
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
172018
Deep vanishing point detection: Geometric priors make dataset variations vanish
Y Lin, R Wiersma, SL Pintea, K Hildebrandt, E Eisemann, JC van Gemert
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
132022
Making a Case for Learning Motion Representations with Phase
SL Pintea, JC van Gemert
Proceedings of the European Conference on Computer Vision (ECCV) 2016 …, 2016
132016
Equal bits: Enforcing equally distributed binary network weights
Y Li, SL Pintea, JC van Gemert
Proceedings of the AAAI conference on artificial intelligence 36 (2), 1491-1499, 2022
10*2022
Seismic inversion with deep learning: A proposal for litho-type classification
SL Pintea, S Sharma, FC Vossepoel, JC van Gemert, M Loog, ...
Computational Geosciences, 1-14, 2021
92021
Semi-supervised lane detection with deep hough transform
Y Lin, SL Pintea, J van Gemert
2021 IEEE International Conference on Image Processing (ICIP), 1514-1518, 2021
82021
Deep continuous networks
N Tomen, SL Pintea, J Van Gemert
International Conference on Machine Learning (ICML) 2021, 10324-10335, 2021
82021
The 2012 SESAME Multimedia Event Detection (MED) System.
M Akbacak, RC Bolles, JB Burns, M Elliot, A Heller, JA Herson, GK Myers, ...
TRECVID, 2012
62012
Frequency learning for structured CNN filters with Gaussian fractional derivatives
N Saldanha, SL Pintea, JC van Gemert, N Tomen
British Machine Vision Conference (BMVC), 2021., 2021
52021
Asymmetric kernel in Gaussian Processes for learning target variance
SL Pintea, JC van Gemert, AWM Smeulders
Pattern Recognition Letters 108, 70-77, 2018
42018
Large scale Gaussian Process for overlap-based object proposal scoring
SL Pintea, S Karaoğlu, JC van Gemert, AWM Smeulders
Computer Vision and Image Understanding 150, 95-108, 2016
42016
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Artikelen 1–20