4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2019
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression
Jie Zhang, Xiaolong Wang, Dawei Li +3
State-of-the-art deep model compression methods exploit the low-rank approximation and sparsity pruning to remove redundant parameters from a learned hidden layer. However, they pr…
cs.CV2017
Three-Dimensional Segmentation of Vesicular Networks of Fungal Hyphae in Macroscopic Microscopy Image Stacks
P. Saponaro, W. Treible, A. Kolagunda +4
Automating the extraction and quantification of features from three-dimensional (3-D) image stacks is a critical task for advancing computer vision research. The union of 3-D image…
cs.CV2017★ 4 cited
Robust Shape Registration using Fuzzy Correspondences
Abhishek Kolagunda, Scott Sorensen, Philip Saponaro +2
Shape registration is the process of aligning one 3D model to another. Most previous methods to align shapes with no known correspondences attempt to solve for both the transformat…