Dynamic convolutions: Exploiting spatial sparsity for faster inference T Verelst, T Tuytelaars Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 153 | 2020 |
Computer vision and human behaviour, emotion and cognition detection: A use case on student engagement P Vanneste, J Oramas, T Verelst, T Tuytelaars, A Raes, F Depaepe, ... Mathematics 9 (3), 287, 2021 | 39 | 2021 |
Spatial consistency loss for training multi-label classifiers from single-label annotations T Verelst, PK Rubenstein, M Eichner, T Tuytelaars, M Berman Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 20 | 2023 |
SegBlocks: Block-based dynamic resolution networks for real-time segmentation T Verelst, T Tuytelaars IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2400-2411, 2022 | 15 | 2022 |
BlockCopy: High-resolution video processing with block-sparse feature propagation and online policies T Verelst, T Tuytelaars Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
Generating superpixels with deep representations T Verelst, M Berman CVPR 2018 workshop on DeepVision: Beyond supervised learning, Date: 2018/06 …, 2018 | 9* | 2018 |
Processor architecture optimization for spatially dynamic neural networks S Colleman, T Verelst, L Mei, T Tuytelaars, M Verhelst 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration …, 2021 | 7 | 2021 |
Segblocks: Towards block-based adaptive resolution networks for fast segmentation T Verelst, T Tuytelaars Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 4 | 2020 |
Spatially Adaptive Neural Networks for Computer Vision T Verelst | | 2023 |