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ORCIDSilvia L. Pintea
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2020 – today
- 2024
[i22]Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert:
Deep Continuous Networks. CoRR abs/2402.01557 (2024)- 2023
- [c24]Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert, Olaf Booij, Silvia L. Pintea:
Objects do not disappear: Video object detection by single-frame object location anticipation. ICCV 2023: 6927-6938 - [c23]Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert:
A step towards understanding why classification helps regression. ICCV 2023: 19915-19924 - [c22]Frans de Boer, Jan C. van Gemert, Jouke Dijkstra, Silvia L. Pintea:
Is there progress in activity progress prediction? ICCV (Workshops) 2023: 2950-2958 - [i21]Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert, Olaf Booij, Silvia L. Pintea:
Objects do not disappear: Video object detection by single-frame object location anticipation. CoRR abs/2308.04770 (2023) - [i20]Frans de Boer, Jan C. van Gemert, Jouke Dijkstra, Silvia L. Pintea:
Is there progress in activity progress prediction? CoRR abs/2308.05533 (2023) - [i19]Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert:
A step towards understanding why classification helps regression. CoRR abs/2308.10603 (2023) - 2022
- [c21]Yunqiang Li, Silvia-Laura Pintea, Jan C. van Gemert:
Equal Bits: Enforcing Equally Distributed Binary Network Weights. AAAI 2022: 1491-1499 - [c20]Yancong Lin, Silvia-Laura Pintea, Jan C. van Gemert:
NeRD++: Improved 3D-mirror symmetry learning from a single image. BMVC 2022: 223 - [c19]Yancong Lin, Ruben Wiersma
, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert:
Deep vanishing point detection: Geometric priors make dataset variations vanish. CVPR 2022: 6093-6103 - [i18]Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert:
Deep vanishing point detection: Geometric priors make dataset variations vanish. CoRR abs/2203.08586 (2022) - 2021
- [j4]Silvia L. Pintea, Nergis Tomen, Stanley F. Goes, Marco Loog, Jan C. van Gemert:
Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory. IEEE Trans. Image Process. 30: 8342-8353 (2021) - [c18]Nikhil Saldanha, Silvia-Laura Pintea, Jan C. van Gemert, Nergis Tomen:
Frequency learning for structured CNN filters with Gaussian fractional derivatives. BMVC 2021: 210 - [c17]Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert:
No Frame Left Behind: Full Video Action Recognition. CVPR 2021: 14892-14901 - [c16]Yancong Lin, Silvia-Laura Pintea, Jan van Gemert:
Semi-Supervised Lane Detection With Deep Hough Transform. ICIP 2021: 1514-1518 - [c15]Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert:
Deep Continuous Networks. ICML 2021: 10324-10335 - [i17]Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert:
No frame left behind: Full Video Action Recognition. CoRR abs/2103.15395 (2021) - [i16]Silvia L. Pintea, Nergis Tomen, Stanley F. Goes, Marco Loog, Jan C. van Gemert:
Resolution learning in deep convolutional networks using scale-space theory. CoRR abs/2106.03412 (2021) - [i15]Yancong Lin, Silvia-Laura Pintea, Jan van Gemert:
Semi-supervised lane detection with Deep Hough Transform. CoRR abs/2106.05094 (2021) - [i14]Nikhil Saldanha, Silvia L. Pintea, Jan C. van Gemert, Nergis Tomen:
Frequency learning for structured CNN filters with Gaussian fractional derivatives. CoRR abs/2111.06660 (2021) - [i13]Yunqiang Li, Silvia L. Pintea, Jan C. van Gemert:
Equal Bits: Enforcing Equally Distributed Binary Network Weights. CoRR abs/2112.03406 (2021) - [i12]Yancong Lin, Silvia-Laura Pintea, Jan van Gemert:
Data-efficient learning for 3D mirror symmetry detection. CoRR abs/2112.12579 (2021) - 2020
- [c14]Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert:
Top-Down Networks: A coarse-to-fine reimagination of CNNs. CVPR Workshops 2020: 3244-3253 - [c13]Yancong Lin, Silvia L. Pintea, Jan C. van Gemert:
Deep Hough-Transform Line Priors. ECCV (22) 2020: 323-340 - [i11]Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert:
Top-Down Networks: A coarse-to-fine reimagination of CNNs. CoRR abs/2004.07629 (2020) - [i10]Yancong Lin, Silvia L. Pintea, Jan C. van Gemert:
Deep Hough-Transform Line Priors. CoRR abs/2007.09493 (2020)
2010 – 2019
- 2019
- [j3]Tobias Stahl, Silvia L. Pintea, Jan C. van Gemert:
Divide and Count: Generic Object Counting by Image Divisions. IEEE Trans. Image Process. 28(2): 1035-1044 (2019) - 2018
- [j2]Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders:
Asymmetric kernel in Gaussian Processes for learning target variance. Pattern Recognit. Lett. 108: 70-77 (2018) - [c12]Silvia L. Pintea, Jian Zheng, Xilin Li, Paulina J. M. Bank, Jacobus J. van Hilten, Jan C. van Gemert:
Hand-Tremor Frequency Estimation in Videos. ECCV Workshops (6) 2018: 213-228 - [c11]Omar Hommos, Silvia L. Pintea, Pascal S. M. Mettes, Jan C. van Gemert:
Using Phase Instead of Optical Flow for Action Recognition. ECCV Workshops (6) 2018: 678-691 - [c10]Silvia L. Pintea, Yue Liu, Jan C. van Gemert:
Recurrent Knowledge Distillation. ICIP 2018: 3393-3397 - [i9]Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders:
Deja Vu: Motion Prediction in Static Images. CoRR abs/1803.06951 (2018) - [i8]Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders:
Asymmetric kernel in Gaussian Processes for learning target variance. CoRR abs/1803.06952 (2018) - [i7]Silvia L. Pintea, Pascal S. M. Mettes, Jan C. van Gemert, Arnold W. M. Smeulders:
Featureless: Bypassing feature extraction in action categorization. CoRR abs/1803.06962 (2018) - [i6]Silvia L. Pintea, Yue Liu, Jan C. van Gemert:
Recurrent knowledge distillation. CoRR abs/1805.07170 (2018) - [i5]Silvia L. Pintea, Jian Zheng, Xilin Li, Paulina J. M. Bank, Jacobus J. van Hilten, Jan C. van Gemert:
Hand-tremor frequency estimation in videos. CoRR abs/1809.03218 (2018) - [i4]Omar Hommos, Silvia L. Pintea, Pascal S. M. Mettes, Jan C. van Gemert:
Using phase instead of optical flow for action recognition. CoRR abs/1809.03258 (2018) - 2017
- [c9]Yichao Zhang, Silvia L. Pintea, Jan C. van Gemert:
Video Acceleration Magnification. CVPR 2017: 502-510 - [c8]Vedran Vukotic, Silvia-Laura Pintea, Christian Raymond, Guillaume Gravier, Jan C. van Gemert:
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. ICIAP (1) 2017: 140-151 - [i3]Vedran Vukotic, Silvia-Laura Pintea, Christian Raymond, Guillaume Gravier, Jan C. van Gemert:
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. CoRR abs/1702.04125 (2017) - [i2]Yichao Zhang, Silvia L. Pintea, Jan C. van Gemert:
Video Acceleration Magnification. CoRR abs/1704.04186 (2017) - 2016
- [j1]Silvia L. Pintea, Sezer Karaoglu, Jan C. van Gemert, Arnold W. M. Smeulders:
Large scale Gaussian Process for overlap-based object proposal scoring. Comput. Vis. Image Underst. 150: 95-108 (2016) - [c7]Silvia L. Pintea, Jan C. van Gemert:
Making a Case for Learning Motion Representations with Phase. ECCV Workshops (3) 2016: 55-64 - [c6]Silvia L. Pintea, Pascal Mettes, Jan C. van Gemert, Arnold W. M. Smeulders:
Featureless: Bypassing feature extraction in action categorization. ICIP 2016: 196-200 - [i1]Silvia L. Pintea, Jan C. van Gemert:
Making a Case for Learning Motion Representations with Phase. CoRR abs/1609.01693 (2016) - 2014
- [c5]Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders:
Déjà Vu: - Motion Prediction in Static Images. ECCV (3) 2014: 172-187 - 2013
- [c4]Robert C. Bolles, J. Brian Burns, James A. Herson, Gregory K. Myers, Stephanie Pancoast, Julien van Hout, Wen Wang, Julie Wong, Eric Yeh, AmirHossein Habibian, Dennis C. Koelma, Zhenyang Li, Masoud Mazloom, Silvia-Laura Pintea, Arnold W. M. Smeulders, Cees G. M. Snoek, Sung Chun Lee, Ram Nevatia, Pramod Sharma, Chen Sun, Rémi Trichet:
The 2013 SESAME Multimedia Event Detection and Recounting System. TRECVID 2013 - [c3]Cees G. M. Snoek, Koen E. A. van de Sande, Daniel Fontijne, AmirHossein Habibian, Mihir Jain, Svetlana Kordumova, Zhenyang Li, Masoud Mazloom, Silvia L. Pintea, Ran Tao, Dennis C. Koelma, Arnold W. M. Smeulders:
The MediaMill at TRECVID 2013: : Searching concepts, Objects, Instances and events in video. TRECVID 2013 - 2012
- [c2]Murat Akbacak, Robert C. Bolles, J. Brian Burns, Mark Elliot, Aaron Heller, James A. Herson, Gregory K. Myers, Ramesh Nallapati, Stephanie Pancoast, Julien van Hout, Eric Yeh, AmirHossein Habibian, Dennis C. Koelma, Zhenyang Li, Masoud Mazloom, Silvia-Laura Pintea, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek, Sung Chun Lee, Ram Nevatia, Pramod Sharma, Chen Sun, Rémi Trichet:
The 2012 SESAME Multimedia Event Detection (MED) System. TRECVID 2012 - [c1]Cees G. M. Snoek, Koen E. A. van de Sande, AmirHossein Habibian, Svetlana Kordumova, Zhenyang Li, Masoud Mazloom, Silvia L. Pintea, Ran Tao, Dennis C. Koelma, Arnold W. M. Smeulders:
The MediaMill TRECVID 2012 Semantic Video Search Engine. TRECVID 2012
Coauthor Index
aka: Jan van Gemert
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