research
∙
08/21/2022
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
Correspondence matching is a fundamental problem in computer vision and ...
share
research
∙
12/17/2020
𝕏Resolution Correspondence Networks
In this paper, we aim at establishing accurate dense correspondences bet...
research
∙
06/16/2020
Dual-Resolution Correspondence Networks
We tackle the problem of establishing dense pixel-wise correspondences b...
research
∙
03/26/2020
Correspondence Networks with Adaptive Neighbourhood Consensus
In this paper, we tackle the task of establishing dense visual correspon...
research
∙
12/03/2019
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
We present FlowNet3D++, a deep scene flow estimation network. Inspired b...
research
∙
05/08/2019
Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts
We propose a method for room layout estimation that does not rely on the...
research
∙
04/04/2016
