Home | Silvia-Laura Pintea

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

I am a Computer Vision researcher that loves puzzling with visual learning problems.
Everything visual: from colors, edges and corners in images, to time and motion in videos, catches my interest.

I would love to know how to solve real world problems and make this world kinder, better. But, for now all I can do is play with pixels.

2024 news:

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
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:

Organization: I am reviewer at ICCV-2019
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