Silvia-Laura Pintea

List of Publications:

• 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-Laura Pintea, Jan Van Gemert, ICML 2021. [pdf]

• Semi-supervised lane detection with Deep Hough Transform, Yancong Lin, Silvia-Laura 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 | 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]

• Asymmetric kernels in Gaussian Process for learning target variance , Silvia L Pintea, Jan C van Gemert, Arnold WM Smeulders, PR Letters, 2018. [pdf | Torch script for univariate case. ]

• One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network, Vedran Vukotić, Silvia-Laura 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 ]

• 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.
[link]

• Deja Vu: Motion Prediction in Static Images, Silvia L Pintea, Jan C van Gemert, Arnold WM Smeulders, ECCV, 2016. [pdf | webpage]
  • Project code: http://github.com/SilviaLauraPintea/DejaVu

• Continuous Learning in Computer Vision, PhD Thesis, 2017.
  • Link to pdf: http://dare.uva.nl/search?identifier=90ad88f5-c16e-4450-86f2-23faa250fcab

• Orientation Estimation from ceiling-mounted cameras, Master Thesis, 2011.
  • Project code: https://github.com/SilviaLauraPintea/OrientationEstimation