13 citations · 13 across the 1 of their papers we have counts for
3 papers
cs.CV2019★ 13 cited
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…
cs.CV2018
Divergence Prior and Vessel-tree Reconstruction
Zhongwen Zhang, Egor Chesakov, Dmitrii Marin +1
We propose a new geometric regularization principle for reconstructing vector fields based on prior knowledge about their divergence. As one important example of this general idea,…
stat.ML2017
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…