1 citations · 2 across the 5 of their papers we have counts for
5 papers
Vision Transformers Learn Gestalt-Like Figure-Ground Cues from Natural Images
Matthias Tangemann, Benjamin Lo, Zygmunt Pizlo +3
Figure-ground organization in the human visual system relies on several shape-based cues, including surroundedness, convexity, and symmetry. While these cues have been extensively…
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis
Mohammad Khodadad, Morteza Rezanejad, Ali Shiraee Kasmaee +3
The analysis of 3D point clouds has diverse applications in robotics, vision and graphics. Processing them presents specific challenges since they are naturally sparse, can vary in…
Contour Completion using Deep Structural Priors
Ali Shiraee, Morteza Rezanejad, Mohammad Khodadad +2
Humans can easily perceive illusory contours and complete missing forms in fragmented shapes. This work investigates whether such capability can arise in convolutional neural netwo…
Medial Spectral Coordinates for 3D Shape Analysis
Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar +4
In recent years there has been a resurgence of interest in our community in the shape analysis of 3D objects represented by surface meshes, their voxelized interiors, or surface po…
Automatic selection of eye tracking variables in visual categorization in adults and infants
Samuel Rivera, Catherine A. Best, Hyungwook Yim +3
Visual categorization and learning of visual categories exhibit early onset, however the underlying mechanisms of early categorization are not well understood. The main limiting fa…