Generating superpixels using deep image representations. - Thomas Verelst; Matthew B. Blaschko; Maxim Berman (CoRR, 2019)

Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference. - Thomas Verelst; Tinne Tuytelaars (CVPR, 2020)

SegBlocks: Towards Block-Based Adaptive Resolution Networks for Fast Segmentation. - Thomas Verelst; Tinne Tuytelaars (ECCV Workshops (5), 2020)

BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies. - Thomas Verelst; Tinne Tuytelaars (ICCV, 2021)

Processor Architecture Optimization for Spatially Dynamic Neural Networks. - Steven Colleman; Thomas Verelst; Linyan Mei; Tinne Tuytelaars; Marian Verhelst (VLSI-SoC, 2021)

Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations. - Thomas Verelst; Paul K. Rubenstein; Marcin Eichner; Tinne Tuytelaars; Maxim Berman (WACV, 2023)

SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation. - Thomas Verelst; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 2023)