13 citations · 14 across the 3 of their papers we have counts for
4 papers
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Dmitrii Marin, Zijian He, Peter Vajda +4
Many automated processes such as auto-piloting rely on a good semantic segmentation as a critical component. To speed up performance, it is common to downsample the input frame. Ho…
Kernel clustering: density biases and solutions
Dmitrii Marin, Meng Tang, Ismail Ben Ayed +1
Kernel methods are popular in clustering due to their generality and discriminating power. However, we show that many kernel clustering criteria have density biases theoretically e…
Efficient optimization for Hierarchically-structured Interacting Segments (HINTS)
Hossam Isack, Olga Veksler, Ipek Oguz +2
We propose an effective optimization algorithm for a general hierarchical segmentation model with geometric interactions between segments. Any given tree can specify a partial orde…
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions
Yuri Boykov, Hossam Isack, Carl Olsson +1
Many standard optimization methods for segmentation and reconstruction compute ML model estimates for appearance or geometry of segments, e.g. Zhu-Yuille 1996, Torr 1998, Chan-Vese…