66 citations · 117 across the 8 of their papers we have counts for
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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,…
cs.LG2018
Beyond Gradient Descent for Regularized Segmentation Losses
Dmitrii Marin, Meng Tang, Ismail Ben Ayed +1
The simplicity of gradient descent (GD) made it the default method for training ever-deeper and complex neural networks. Both loss functions and architectures are often explicitly…