Welcome to my home. I live in a tiny house on a 3800 m² plot in Bois de Roly (Philippeville, Belgium); a domain made of residential woods within Viroin Hermeton Nature Park. There is plenty of space and I am happy to welcome happy campers over, so long as everyone is respectful of the space and leaves no trace so that nature can thrive.
A tool that generates cost-effective and nutritionally complete recipes using Linear Programming (LP). It balances macronutrients, micronutrients, and specific ratios while minimizing cost.
Figure 3. Segmentation of three test images: each distinct color represents one of 64 CDF tables used to encode a latent spatial location (16 × 16 pixels patch)
Joint learned compression and denoising schemes for improved photographic image quality and reduced processing complexity
Benoit Brummer. PhD Thesis, UCLouvain, 2025.
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise Dataset
Benoit Brummer and Christophe De Vleeschouwer. arXiv preprint arXiv:2501.08924, 2025.
On the importance of denoising when learning to compress images
Benoit Brummer and Christophe De Vleeschouwer. IEEE/CVF Winter Conference on Applications of Computer Vision, 2023.
End-to-end optimized image compression with competition of prior distributions
Benoit Brummer and Christophe De Vleeschouwer. IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.
Adapting JPEG XS gains and priorities to tasks and contents
Benoit Brummer and Christophe De Vleeschouwer. CVPR Workshops, 2020.
Natural image noise dataset
Benoit Brummer and Christophe De Vleeschouwer. CVPR Workshops, 2019.
Image denoising using convolutional neural networks and the Natural Image Noise Dataset
Benoit Brummer and Christophe De Vleeschouwer. Master Thesis.
🎓 Education
2025
PhD, Engineering Science and Technology, University of Louvain, Belgium.
2019
MS, Computer Science (AI major), University of Louvain, Belgium.
2016
BS, Computer Engineering, University of Central Florida, USA.