Silvia L. Pintea

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 36

Top Topics

Action Recognition

Gaussian Process

Motion Prediction

Top Venues

IEEE Trans. Image Process.

Publications

Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
Deep Continuous Networks. CoRR (2024)
Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert
A step towards understanding why classification helps regression. CoRR (2023)
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)
Frans de Boer, Jan C. van Gemert, Jouke Dijkstra, Silvia L. Pintea
Is there progress in activity progress prediction? ICCV (Workshops) (2023)
Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert
A step towards understanding why classification helps regression. ICCV (2023)
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 (2023)
Frans de Boer, Jan C. van Gemert, Jouke Dijkstra, Silvia L. Pintea
Is there progress in activity progress prediction? CoRR (2023)
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)
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 (2022)
Nikhil Saldanha, Silvia L. Pintea, Jan C. van Gemert, Nergis Tomen
Frequency learning for structured CNN filters with Gaussian fractional derivatives. CoRR (2021)
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 (2021)
Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert
No Frame Left Behind: Full Video Action Recognition. CVPR (2021)
Yunqiang Li, Silvia L. Pintea, Jan C. van Gemert
Equal Bits: Enforcing Equally Distributed Binary Network Weights. CoRR (2021)
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 (2021)
Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert
No frame left behind: Full Video Action Recognition. CoRR (2021)
Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
Top-Down Networks: A coarse-to-fine reimagination of CNNs. CVPR Workshops (2020)
Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
Top-Down Networks: A coarse-to-fine reimagination of CNNs. CoRR (2020)
Yancong Lin, Silvia L. Pintea, Jan C. van Gemert
Deep Hough-Transform Line Priors. CoRR (2020)
Yancong Lin, Silvia L. Pintea, Jan C. van Gemert
Deep Hough-Transform Line Priors. ECCV (22) (2020)
Tobias Stahl, Silvia L. Pintea, Jan C. van Gemert
Divide and Count: Generic Object Counting by Image Divisions. IEEE Trans. Image Process. 28 (2) (2019)
Omar Hommos, Silvia L. Pintea, Pascal S. Mettes, Jan C. van Gemert
Using phase instead of optical flow for action recognition. CoRR (2018)
Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders
Asymmetric kernel in Gaussian Processes for learning target variance. Pattern Recognit. Lett. 108 (2018)
Silvia L. Pintea, Yue Liu, Jan C. van Gemert
Recurrent knowledge distillation. CoRR (2018)
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 (2018)
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)
Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders
Deja Vu: Motion Prediction in Static Images. CoRR (2018)
Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders
Asymmetric kernel in Gaussian Processes for learning target variance. CoRR (2018)
Silvia L. Pintea, Yue Liu, Jan C. van Gemert
Recurrent Knowledge Distillation. ICIP (2018)
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)
Silvia L. Pintea, Pascal S. Mettes, Jan C. van Gemert, Arnold W. M. Smeulders
Featureless: Bypassing feature extraction in action categorization. CoRR (2018)
Yichao Zhang, Silvia L. Pintea, Jan C. van Gemert
Video Acceleration Magnification. CVPR (2017)
Yichao Zhang, Silvia L. Pintea, Jan C. van Gemert
Video Acceleration Magnification. CoRR (2017)
Silvia L. Pintea, Pascal Mettes, Jan C. van Gemert, Arnold W. M. Smeulders
Featureless: Bypassing feature extraction in action categorization. ICIP (2016)
Silvia L. Pintea, Jan C. van Gemert
Making a Case for Learning Motion Representations with Phase. CoRR (2016)
Silvia L. Pintea, Jan C. van Gemert
Making a Case for Learning Motion Representations with Phase. ECCV Workshops (3) (2016)
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 (2016)
Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders
Déjà Vu: - Motion Prediction in Static Images. ECCV (3) (2014)
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)
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)