36 citations · 43 across the 6 of their papers we have counts for
4 papers · 1 filter
Blending 3D Geometry and Machine Learning for Multi-View Stereopsis
Vibhas Vats, Md. Alimoor Reza, David Crandall +1
Traditional multi-view stereo (MVS) methods primarily depend on photometric and geometric consistency constraints. In contrast, modern learning-based algorithms often rely on the p…
Geometric Constraints in Deep Learning Frameworks: A Survey
Vibhas K Vats, David J Crandall
Stereophotogrammetry is an established technique for scene understanding. Its origins go back to at least the 1800s when people first started to investigate using photographs to me…
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
Vibhas K. Vats, Sripad Joshi, David J. Crandall +2
Traditional multi-view stereo (MVS) methods rely heavily on photometric and geometric consistency constraints, but newer machine learning-based MVS methods check geometric consiste…
Controlling the Quality of Distillation in Response-Based Network Compression
Vibhas Vats, David Crandall
The performance of a distillation-based compressed network is governed by the quality of distillation. The reason for the suboptimal distillation of a large network (teacher) to a…