Silvia-Laura Pintea

Please visit my my Google Scholar page for publications overview, including citations.

Peer reviewed articles:

• 
  "A step towards understanding why classification helps regression",
  Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C van Gemert,
  (ICCV, 2023).
  [Pdf | Project code | ArXiv ]

• 
  "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 | ArXiv ]

• 
  "Is there progress in activity progress prediction?",
  Frans de Boer, Jan C van Gemert, Jouke Dijkstra, Silvia L Pintea,
  (ICCVw, 2023).
  [Pdf | ArXiv ]

• 
  "NeRD++: Improved 3D-mirror symmetry learning from a single image",
  Yancong Lin, Silvia L. Pintea, Jan C. van Gemert,
  (BMVC, 2022).
  [Pdf | ArXiv ]

• 
  "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 | ArXiv ]

• 
  "Equal Bits: Enforcing Equally Distributed Binary Network Weights",
  Yunqiang Li, Silvia L Pintea, Jan C van Gemert,
  (AAAI, 2022).
  [Pdf | ArXiv ]

• 
  "Frequency learning for structured CNN filters with Gaussian fractional derivatives",
  Nikhil Saldanha, Silvia L Pintea, Jan C van Gemert, Nergis Tomen,
  (BMVC, 2021).
  [Pdf | ArXiv ]

• 
  "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 | ArXiv ]

• 
  "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 | ArXiv ]

• 
  "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 | ArXiv ]

• 
  "Deep Hough-Transform Line Priors",
  Yancong Lin, Silvia L Pintea, Jan C van Gemert,
  (ECCV, 2020).
  [Pdf | ArXiv ]

• 
  "Top-Down Networks: A coarse-to-fine reimagination of CNNs",
  Ioannis Lelekas, Nergis Tomen, Silvia L Pintea, Jan C van Gemert,
  (CVPRw 2020, workshop on Deep Vision).
  [Pdf | ArXiv ]

• 
  "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,
  (ECCVw 2018, workshop on Observing and Understanding Hands in Action).
  [Pdf | ArXiv ]

• 
  "Using phase instead of optical flow for action recognition",
  Omar Hommos, Silvia L Pintea, Pascal SM Mettes, Jan C van Gemert,
  (ECCVw 2018, workshop on What is Optical Flow for?)
  [Pdf | ArXiv ]

• 
  "Recurrent knowledge distillation",
  Silvia L Pintea, Yue Liu, Jan C van Gemert,
  (ICIP, 2018).
  [Pdf | ArXiv ]

• 
  "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 | ArXiv ]

• 
  "Video Acceleration Magnification",
  Yichao Zhang, Silvia L Pintea, Jan C Van Gemert,
  (CVPR, 2017).
  [Pdf | Project webpage | ArXiv ]

• 
  "Making a case for learning motion representations with phase",
  Silvia L Pintea, Jan C van Gemert,
  (ECCVw 2016, Workshop on Brave new ideas for motion representations in videos).
  [Pdf | Starting point - demo | ArXiv ]

PhD thesis:

• "Continuous Learning in Computer Vision", (PhD Thesis, 2017). [ Publication link ]

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

• "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]

• "Deja Vu: Motion Prediction in Static Images",
  Silvia L Pintea, Jan C van Gemert, Arnold WM Smeulders,
  (ECCV, 2014).
  [Pdf | Project webpage | Project code]

MSc thesis:

• "Orientation Estimation from ceiling-mounted cameras", (Master Thesis, 2011). [Project code ]