| Deja Vu: Motion Prediction in Static Images SL Pintea, JC van Gemert, AWM Smeulders European Conference on Computer Vision, 172-187, 2014 | 64 | 2014 |
| Video acceleration magnification Y Zhang, SL Pintea, JC Van Gemert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 48 | 2017 |
| 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 | 43 | 2013 |
| 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 International conference on image analysis and processing, 140-151, 2017 | 40 | 2017 |
| 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 | 18 | 2018 |
| Making a Case for Learning Motion Representations with Phase SL Pintea, JC van Gemert Computer Vision -- ECCV 2016 Workshops, 55--64, 2016 | 10 | 2016 |
| 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 | 9 | 2018 |
| 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 | 8 | 2018 |
| 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 |
| Deep Hough-Transform Line Priors Y Lin, SL Pintea, JC van Gemert European Conference on Computer Vision, 323-340, 2020 | 3 | 2020 |
| Recurrent knowledge distillation SL Pintea, Y Liu, JC van Gemert 2018 25th IEEE International Conference on Image Processing (ICIP), 3393-3397, 2018 | 2 | 2018 |
| Featureless: Bypassing feature extraction in action categorization SL Pintea, PS Mettes, JC van Gemert, AWM Smeulders 2016 IEEE International Conference on Image Processing (ICIP), 196-200, 2016 | 2 | 2016 |
| Large scale Gaussian Process for overlap-based object proposal scoring SL Pintea, S Karaoğlu, JC van Gemert, AWM Smeulders Computer Vision and Image Understanding 150, 95-108, 2016 | 2 | 2016 |
| Less bits is more: How pruning deep binary networks increases weight capacity Y Li, SL Pintea, J van Gemert | 1 | 2020 |
| 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 | | 2020 |
| Asymmetric kernel in Gaussian Processes for learning target variance SL Pintea, JC van Gemert, AWM Smeulders Pattern Recognition Letters 108, 70-77, 2018 | | 2018 |
| Continuous learning in computer vision SL Pintea Doctoral Thesis, 2017 | | 2017 |
| Orientation Estimation SL Pintea, G Englebienne Master Thesis, 2011 | | 2011 |
| Top-Down Networks: A coarse-to-fine reimagination of CNNs Supplementary material I Lelekas, N Tomen, SL Pintea, JC van Gemert | | |
| Rock, Paper & Scissors with Nao N Raiman, SL Pintea | | |
Jan van GemertComputer Vision Lab, Delft University of TechnologyBestätigte E-Mail-Adresse bei tudelft.nl
