1 citations · 1 across the 2 of their papers we have counts for
4 papers
Another BRIXEL in the Wall: Towards Cheaper Dense Features
Alexander Lappe, Martin A. Giese
Vision foundation models achieve strong performance on both global and locally dense downstream tasks. Pretrained on large images, the recent DINOv3 model family is able to produce…
BigMaQ: A Big Macaque Motion and Animation Dataset Bridging Image and 3D Pose Representations
Lucas Martini, Alexander Lappe, Anna Bognár +2
The recognition of dynamic and social behavior in animals is fundamental for advancing ethology, ecology, medicine and neuroscience. Recent progress in deep learning has enabled au…
Register and [CLS] tokens yield a decoupling of local and global features in large ViTs
Alexander Lappe, Martin A. Giese
Recent work has shown that the attention maps of the widely popular DINOv2 model exhibit artifacts, which hurt both model interpretability and performance on dense image tasks. The…
Parallel Backpropagation for Shared-Feature Visualization
Alexander Lappe, Anna Bognár, Ghazaleh Ghamkhari Nejad +4
High-level visual brain regions contain subareas in which neurons appear to respond more strongly to examples of a particular semantic category, like faces or bodies, rather than o…