The 2012 SESAME Multimedia Event Detection (MED) System. - Murat Akbacak; Robert C. Bolles; J. Brian Burns; Mark Elliot; Aaron Heller; James A. Herson; Gregory K. Myers; Ramesh Nallapati; Stephanie Pancoast; Julien van Hout; Eric Yeh; AmirHossein Habibian; et al. (TRECVID, 2012)

The MediaMill TRECVID 2012 Semantic Video Search Engine. - Cees G. M. Snoek; Koen E. A. van de Sande; AmirHossein Habibian; Svetlana Kordumova; Zhenyang Li; Masoud Mazloom; Silvia L. Pintea; Ran Tao 004; Dennis C. Koelma; Arnold W. M. Smeulders (TRECVID, 2012)

The 2013 SESAME Multimedia Event Detection and Recounting System. - Robert C. Bolles; J. Brian Burns; James A. Herson; Gregory K. Myers; Stephanie Pancoast; Julien van Hout; Wen Wang 001; Julie Wong; Eric Yeh; AmirHossein Habibian; Dennis C. Koelma; Zhenyang Li; et al. (TRECVID, 2013)

The MediaMill at TRECVID 2013: : Searching concepts, Objects, Instances and events in video. - Cees G. M. Snoek; Koen E. A. van de Sande; Daniel Fontijne; AmirHossein Habibian; Mihir Jain; Svetlana Kordumova; Zhenyang Li; Masoud Mazloom; Silvia L. Pintea; Ran Tao 004; Dennis C. Koelma; Arnold W. M. Smeulders (TRECVID, 2013)

Déjà Vu: - Motion Prediction in Static Images. - Silvia L. Pintea; Jan C. van Gemert; Arnold W. M. Smeulders (ECCV (3), 2014)

Making a Case for Learning Motion Representations with Phase. - Silvia L. Pintea; Jan C. van Gemert (ECCV Workshops (3), 2016)

Featureless: Bypassing feature extraction in action categorization. - Silvia L. Pintea; Pascal Mettes; Jan C. van Gemert; Arnold W. M. Smeulders (ICIP, 2016)

Large scale Gaussian Process for overlap-based object proposal scoring. - Silvia L. Pintea; Sezer Karaoglu; Jan C. van Gemert; Arnold W. M. Smeulders (Comput. Vis. Image Underst., 2016)

Video Acceleration Magnification. - Yichao Zhang; Silvia L. Pintea; Jan C. van Gemert (CVPR, 2017)

One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. - Vedran Vukotic; Silvia-Laura Pintea; Christian Raymond; Guillaume Gravier; Jan C. van Gemert (ICIAP (1), 2017)

Using Phase Instead of Optical Flow for Action Recognition. - Omar Hommos; Silvia L. Pintea; Pascal S. M. Mettes; Jan C. van Gemert (ECCV Workshops (6), 2018)

Hand-Tremor Frequency Estimation in Videos. - Silvia L. Pintea; Jian Zheng; Xilin Li; Paulina J. M. Bank; Jacobus J. van Hilten; Jan C. van Gemert (ECCV Workshops (6), 2018)

Recurrent Knowledge Distillation. - Silvia L. Pintea; Yue Liu; Jan C. van Gemert (ICIP, 2018)

Asymmetric kernel in Gaussian Processes for learning target variance. - Silvia L. Pintea; Jan C. van Gemert; Arnold W. M. Smeulders (Pattern Recognit. Lett., 2018)

Divide and Count: Generic Object Counting by Image Divisions. - Tobias Stahl; Silvia L. Pintea; Jan C. van Gemert (IEEE Trans. Image Process., 2019)

Top-Down Networks: A coarse-to-fine reimagination of CNNs. - Ioannis Lelekas; Nergis Tomen; Silvia L. Pintea; Jan C. van Gemert (CVPR Workshops, 2020)

Deep Hough-Transform Line Priors. - Yancong Lin; Silvia L. Pintea; Jan C. van Gemert (ECCV (22), 2020)

Frequency learning for structured CNN filters with Gaussian fractional derivatives. - Nikhil Saldanha; Silvia-Laura Pintea; Jan C. van Gemert; Nergis Tomen (BMVC, 2021)

No Frame Left Behind: Full Video Action Recognition. - Xin Liu; Silvia L. Pintea; Fatemeh Karimi Nejadasl; Olaf Booij; Jan C. van Gemert (CVPR, 2021)

Semi-Supervised Lane Detection With Deep Hough Transform. - Yancong Lin; Silvia-Laura Pintea; Jan van Gemert (ICIP, 2021)

Deep Continuous Networks. - Nergis Tomen; Silvia-Laura Pintea; Jan van Gemert (ICML, 2021)

Data-efficient learning for 3D mirror symmetry detection. - Yancong Lin; Silvia-Laura Pintea; Jan van Gemert (CoRR, 2021)

Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory. - Silvia L. Pintea; Nergis Tomen; Stanley F. Goes; Marco Loog; Jan C. van Gemert (IEEE Trans. Image Process., 2021)

Equal Bits: Enforcing Equally Distributed Binary Network Weights. - Yunqiang Li; Silvia-Laura Pintea; Jan C. van Gemert (AAAI, 2022)

NeRD++: Improved 3D-mirror symmetry learning from a single image. - Yancong Lin; Silvia-Laura Pintea; Jan C. van Gemert (BMVC, 2022)

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)

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)

A step towards understanding why classification helps regression. - Silvia L. Pintea; Yancong Lin; Jouke Dijkstra; Jan C. van Gemert (ICCV, 2023)

Is there progress in activity progress prediction? - Frans de Boer; Jan C. van Gemert; Jouke Dijkstra; Silvia L. Pintea (ICCV (Workshops), 2023)

A Graph Attention-Guided Diffusion Model for Liver Vessel Segmentation. - Xiaotong Zhang 009; Alexander Broersen; Gonnie C. M. van Erp; Silvia L. Pintea; Jouke Dijkstra (CoRR, 2024)

Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation. - Xiaotong Zhang 009; Alexander Broersen; Gonnie C. M. van Erp; Silvia L. Pintea; Jouke Dijkstra (ISBI, 2025)

Skip priors and add graph-based anatomical information, for point-based Couinaud segmentation. - Xiaotong Zhang 009; Alexander Broersen; Gonnie C. M. van Erp; Silvia L. Pintea; Jouke Dijkstra (CoRR, 2025)