List of Publications:
- A step towards understanding why classification helps regression
Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C van Gemert,
ICCV 2023.
[Pdf |
Project code ]
- Objects do not disappear: Video object detection by single-frame object location anticipation
Xin Liu, Fatemeh Karimi Nejadasl, Jan C van Gemert, Olaf Booij, Silvia L Pintea
ICCV 2023.
[Pdf]
- Is there progress in activity progress prediction?,
Frans de Boer, Jan C van Gemert, Jouke Dijkstra, Silvia L Pintea,
ICCVw 2023.
[Pdf]
- NeRD++: Improved 3D-mirror symmetry learning from a single image,
Yancong Lin, Silvia L. Pintea, Jan C. van Gemert,
BMVC 2022.
[Pdf]
- Deep vanishing point detection: Geometric priors make dataset variations vanish,
Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert,
CVPR 2022.
[Pdf]
- Equal Bits: Enforcing Equally Distributed Binary Network Weights,
Yunqiang Li, Silvia L Pintea, Jan C van Gemert,
AAAI 2022.
[Pdf]
- Frequency learning for structured CNN filters with Gaussian fractional derivatives,
Nikhil Saldanha, Silvia L Pintea, Jan C van Gemert, Nergis Tomen,
BMVC 2021.
[Pdf]
- Deep continuous networks,
Nergis Tomen, Silvia L Pintea, Jan Van Gemert,
ICML 2021.
[Pdf]
- Semi-supervised lane detection with Deep Hough Transform,
Yancong Lin, Silvia L Pintea, Jan van Gemert,
ICIP 2021.
[Pdf]
- Resolution learning in deep convolutional networks using scale-space theory,
Silvia L Pintea, Nergis Tomen, Stanley F Goes, Marco Loog, Jan C van Gemert,
TIP 2021.
[Pdf |
Project code ]
- No frame left behind: Full Video Action Recognition,
Xin Liu, Silvia L Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C van Gemert,
CVPR 2021.
[Pdf]
- Deep Hough-Transform Line Priors,
Yancong Lin, Silvia L Pintea, Jan C van Gemert,
ECCV 2020.
[Pdf]
- Top-Down Networks: A coarse-to-fine reimagination of CNNs,
Ioannis Lelekas, Nergis Tomen, Silvia L Pintea, Jan C van Gemert,
CVPR 2020 workshop on Deep Vision.
[Pdf]
- Divide and Count: Generic Object Counting by Image Divisions,
Tobias Stahl, Silvia L Pintea, Jan C Van Gemert,
DOI 10.1109/TIP.2018.2875353, IEEE Transactions on Image Processing, 2018.
[Pdf]
- Hand-tremor Frequency Estimation in Videos,
Silvia L Pintea, Jian Zheng, Xilin Li, Paulina JM Bank, Jacobus J van Hilten, Jan C van Gemert,
ECCV 2018 workshop on Observing and Understanding Hands in Action (HANDS2018).
[Pdf]
- Using phase instead of optical flow for action recognition,
Omar Hommos, Silvia L Pintea, Pascal SM Mettes, Jan C van Gemert,
ECCV 2018 workshop on What is Optical Flow for?
[Pdf]
- Recurrent knowledge distillation,
Silvia L Pintea, Yue Liu, Jan C van Gemert,
ICIP, 2018.
[Pdf]
- One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network,
Vedran Vukotić, Silvia L Pintea, Christian Raymond, Guillaume Gravier, Jan C Van Gemert,
ICIAP, 2017.
[Pdf]
- Video Acceleration Magnification,
Yichao Zhang, Silvia L Pintea, Jan C Van Gemert,
CVPR, 2017.
[Pdf |
Project webpage ]
- Making a case for learning motion representations with phase,
Silvia L Pintea, Jan C van Gemert,
ECCV 2016 Workshop on Brave new ideas for motion representations in videos.
[Pdf |
Starting point - demo |
Slides ]
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Featureless: Bypassing Feature Extraction In Action Categorization,
Silvia L Pintea, Pascal S Mettes, Jan C van Gemert, Arnold WM Smeulders,
ICIP, 2016.
[Pdf |
Slides]
- Large Scale Gaussian Process for Overlap-based Object Proposal Scoring,
Silvia L Pintea, S Karaöglu, Jan C van Gemert, Arnold WM Smeulders,
CVIU, 2016.
[Publication link]
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Deja Vu: Motion Prediction in Static Images,
Silvia L Pintea, Jan C van Gemert, Arnold WM Smeulders,
ECCV, 2016.
[Pdf |
Project webpage |
Project code]
- Orientation Estimation from ceiling-mounted cameras ,
Master Thesis, 2011.
[Project code ]