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Silvia-Laura Pintea
Silvia-Laura Pintea
Computer vision researcher
Bestätigte E-Mail-Adresse bei lumc.nl - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Video acceleration magnification
Y Zhang, SL Pintea, JC Van Gemert
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1172017
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
892014
Deep hough-transform line priors
Y Lin, SL Pintea, JC van Gemert
Proceedings of the European Conference on Computer Vision (ECCV) 2020: 16th …, 2020
702020
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
642018
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
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
442013
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
402021
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
312021
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
272018
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
192022
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
182018
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
152021
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
112022
Deep continuous networks
N Tomen, SL Pintea, J Van Gemert
International Conference on Machine Learning (ICML) 2021, 10324-10335, 2021
102021
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
92021
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
Top-Down Networks: A coarse-to-fine reimagination of CNNs
I Lelekas, N Tomen, SL Pintea, JC van Gemert
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
42020
Asymmetric kernel in Gaussian Processes for learning target variance
SL Pintea, JC van Gemert, AWM Smeulders
Pattern Recognition Letters 108, 70-77, 2018
42018
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