| Video acceleration magnification Y Zhang, SL Pintea, JC Van Gemert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 128 | 2017 |
| Deep hough-transform line priors Y Lin, SL Pintea, JC van Gemert Proceedings of the European Conference on Computer Vision (ECCV) 2020: 16th …, 2020 | 94 | 2020 |
| Deja Vu: Motion Prediction in Static Images SL Pintea, JC van Gemert, AWM Smeulders Proceedings of the European Conference on Computer Vision (ECCV) 2014, 172-187, 2014 | 88 | 2014 |
| Divide and count: Generic object counting by image divisions T Stahl, SL Pintea, JC Van Gemert IEEE Transactions on Image Processing 28 (2), 1035-1044, 2018 | 75 | 2018 |
| One-step time-dependent future video frame prediction with a convolutional encoder-decoder neural network V Vukotić, SL Pintea, C Raymond, G Gravier, JC Van Gemert Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 63 | 2017 |
| No frame left behind: Full video action recognition X Liu, SL Pintea, FK Nejadasl, O Booij, JC Van Gemert Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 59 | 2021 |
| MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. CGM Snoek, KEA van de Sande, D Fontijne, AH Habibian, M Jain, ... TRECVID 1 (2), 3, 2013 | 45 | 2013 |
| Resolution learning in deep convolutional networks using scale-space theory SL Pintea, N Tömen, SF Goes, M Loog, JC van Gemert IEEE Transactions on Image Processing 30, 8342-8353, 2021 | 44 | 2021 |
| Hand-tremor frequency estimation in videos SL Pintea, J Zheng, X Li, PJM Bank, JJ van Hilten, JC van Gemert Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 30 | 2018 |
| Deep vanishing point detection: Geometric priors make dataset variations vanish Y Lin, R Wiersma, SL Pintea, K Hildebrandt, E Eisemann, JC Van Gemert Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 28 | 2022 |
| Seismic inversion with deep learning: A proposal for litho-type classification SL Pintea, S Sharma, FC Vossepoel, JC van Gemert, M Loog, ... Computational Geosciences, 1-14, 2021 | 23 | 2021 |
| Using phase instead of optical flow for action recognition O Hommos, SL Pintea, PSM Mettes, JC van Gemert Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 17 | 2018 |
| Equal bits: Enforcing equally distributed binary network weights Y Li, SL Pintea, JC van Gemert Proceedings of the AAAI conference on artificial intelligence 36 (2), 1491-1499, 2022 | 16 | 2022 |
| Making a Case for Learning Motion Representations with Phase SL Pintea, JC van Gemert Proceedings of the European Conference on Computer Vision (ECCV) 2016 …, 2016 | 16 | 2016 |
| Deep continuous networks N Tomen, SL Pintea, J Van Gemert International Conference on Machine Learning (ICML) 2021, 10324-10335, 2021 | 15 | 2021 |
| A step towards understanding why classification helps regression SL Pintea, Y Lin, J Dijkstra, JC van Gemert Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
| Semi-supervised lane detection with deep Hough transform Y Lin, SL Pintea, J van Gemert 2021 IEEE International Conference on Image Processing (ICIP), 1514-1518, 2021 | 13 | 2021 |
| Frequency learning for structured CNN filters with Gaussian fractional derivatives N Saldanha, SL Pintea, JC van Gemert, N Tomen British Machine Vision Conference (BMVC), 2021., 2021 | 8 | 2021 |
| Top-Down Networks: A coarse-to-fine reimagination of CNNs I Lelekas, N Tomen, SL Pintea, JC van Gemert Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 6 | 2020 |
| The 2012 SESAME Multimedia Event Detection (MED) System. M Akbacak, RC Bolles, JB Burns, M Elliot, A Heller, JA Herson, GK Myers, ... TRECVID, 2012 | 6 | 2012 |
Jan van GemertComputer Vision Lab, Delft University of Technology確認したメール アドレス: tudelft.nl