49 citations · 131 across the 10 of their papers we have counts for
3 papers · 1 filter
Enhancing Generic Segmentation with Learned Region Representations
Or Isaacs, Oran Shayer, Michael Lindenbaum
Current successful approaches for generic (non-semantic) segmentation rely mostly on edge detection and have leveraged the strengths of deep learning mainly by improving the edge d…
Learning Pixel Representations for Generic Segmentation
Oran Shayer, Michael Lindenbaum
Deep learning approaches to generic (non-semantic) segmentation have so far been indirect and relied on edge detection. This is in contrast to semantic segmentation, where DNNs are…
Seeing Things in Random-Dot Videos
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
Humans possess an intricate and powerful visual system in order to perceive and understand the environing world. Human perception can effortlessly detect and correctly group featur…