5 papers · 1 filter
Appearance Shock Grammar for Fast Medial Axis Extraction from Real Images
Charles-Olivier Dufresne Camaro, Morteza Rezanejad, Stavros Tsogkas +2
We combine ideas from shock graph theory with more recent appearance-based methods for medial axis extraction from complex natural scenes, improving upon the present best unsupervi…
Geometric Disentanglement for Generative Latent Shape Models
Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan Jepson +1
Representing 3D shape is a fundamental problem in artificial intelligence, which has numerous applications within computer vision and graphics. One avenue that has recently begun t…
DeepFlux for Skeletons in the Wild
Yukang Wang, Yongchao Xu, Stavros Tsogkas +3
Computing object skeletons in natural images is challenging, owing to large variations in object appearance and scale, and the complexity of handling background clutter. Many recen…
Scene Categorization from Contours: Medial Axis Based Salience Measures
Morteza Rezanejad, Gabriel Downs, John Wilder +4
The computer vision community has witnessed recent advances in scene categorization from images, with the state-of-the art systems now achieving impressive recognition rates on cha…
A Framework for Symmetric Part Detection in Cluttered Scenes
Tom Lee, Sanja Fidler, Alex Levinshtein +2
The role of symmetry in computer vision has waxed and waned in importance during the evolution of the field from its earliest days. At first figuring prominently in support of bott…