dr. Silvia-Laura Pintea
Computer Vision Research
Google scholar:Link
Email:Silvia[dot]Laura[dot]Pintea[at]gmail[dot]com
Github:https://github.com/SilviaLauraPintea
Curriculum Vitae: CV
2024 news:
- Organization: I am reviewer at WACV-2025
- Talk at the Radiology Research Summit (LUMC): "Motion representations for visual analysis"
- Organization: I am reviewer at BMVC-2024
- PhD committee: For the PhD defense of Dr. Xin Liu
- Organization: I am reviewer at ECCV-2024
- Organization: I am reviewer at CVPR-2024
- Organization: I am reviewer at WACV-2024
- Organization: Organizing an ML/DL reading group at LKEB-LUMC
2023 news:
- Accepted paper: (ICCV-2023) "A step towards understanding why classification helps regression"
- Accepted paper: (ICCV-2023) "Objects do not disappear: Video object detection by single-frame object location anticipation"
- Accepted paper: (ICCVw-2023) "Is there progress in activity progress prediction?"
- Organization: I am reviewer at ICCV-2023
- Organization: I am reviewer at CVPR-2023
- Organization: Organizing a "Diffusion Models" reading group at LKEB-LUMC
2022 news:
- PhD committee: For the PhD defense of Dr. Yancong Lin
- Accepted paper: (AAAI-2022) "Equal Bits: Enforcing Equally Distributed Binary Network Weights"
- Accepted paper: (BMVC-2022) "NeRD++: Improved 3D-mirror symmetry learning from a single image"
- Accepted paper: (CVPR-2022) "Deep vanishing point detection: Geometric priors make dataset variations vanish"
- Award: Outstanding reviewer at BMVC-2022
- Award: Outstanding reviewer at ECCV-2022
- Talk at the Startup Village Amsterdam
- Award: Outstanding reviewer at CVPR-2022
- Organization: I am reviewer at WACV-2022
2021 news:
- Accepted paper: (COMG-2021) "Seismic inversion with deep learning: A proposal for litho-type"
- Accepted paper: (BMVC-2021) "Frequency learning for structured CNN filters with Gaussian fractional derivatives"
- Accepted paper: (TIP-2021) "Resolution learning in deep convolutional networks using scale-space theory"
- Accepted paper: (ICML-2021) "Deep continuous networks"
- Accepted paper: (ICIP-2021) "Semi-supervised lane detection with Deep Hough Transform"
- Accepted paper: (CVPR-2021) "No frame left behind: Full Video Action Recognition"
- Award: Outstanding reviewer at BMVC-2021
- Award: Outstanding reviewer at ICCV-2021
- Award: Outstanding reviewer at CVPR-2021
2020 news:
- Accepted paper: (ECCV-2020) "Deep Hough-Transform Line Priors"
- Accepted paper: (CVPRw-2020) "Top-Down Networks: A coarse-to-fine reimagination of CNN"
- Organization: I am reviewer at BMVC-2020
- Organization: I am reviewer at ECCV-2020
- Organization: I am reviewer at CVPR-2020
2019 news:
- Talk at the AIRLab (Delft)
- Organization: I am reviewer at ICCV-2019
- Talk at the Leiden University ("Deep Learning Seminar")
- Organization: I am reviewer at CVPR-2019
2018 news:
- Accepted paper: (TIP-2018) "Divide and Count: Generic Object Counting by Image Divisions"
- Accepted paper:(ECCVw-2018) "Using phase instead of optical flow for action recognition"
- Accepted paper:(ECCVw-2018) "Using phase instead of optical flow for action recognition"
- Award: Best paper at (ECCVw-2018) "Hand-tremor Frequency Estimation in Videos"
- Accepted paper:(ICIP-2018) "Recurrent knowledge distillation"
- Accepted paper: (PRLetters-2018) "Asymmetric kernels in Gaussian Process for learning target variance"
- Organization: I am reviewer at ECCV-2018
- Organization: I am reviewer at CVPR-2018
2017 news:
- Accepted paper: (CVPR-2017) Video Acceleration Magnification.
- PhD thesis: "Continuous Learning in Computer Vision"
- Organization: I am reviewer at ICCV-2017
- Organization: I am reviewer at CVPR-2017
2016 news:
- Accepted paper: (ICIP-2016) "Featureless: Bypassing Feature Extraction In Action Categorization"
- Organization: I am reviewer at ECCV-2016
- Organization: I am reviewer at CVPR-2016