Although end-to-end multi-object trackers like MOTR enjoy the merits of
...
Recently, neural implicit surfaces learning by volume rendering has beco...
In this paper, we present a second order spatial compatibility (SC^2) me...
Point cloud registration is a fundamental step for many tasks. In this p...
In deep multi-view stereo networks, cost regularization is crucial to ac...
Camera and 3D LiDAR sensors have become indispensable devices in modern
...
Finding good correspondences is a critical prerequisite in many feature ...
In this paper, a novel learning-based network, named DeepDT, is proposed...
Recently, learning-based multi-view stereo methods have achieved promisi...
Deep learning has shown to be effective for depth inference in multi-vie...
The completeness of 3D models is still a challenging problem in multi-vi...
In this paper, we propose a novel joint instance and semantic segmentati...
Region Proposal Network (RPN) is the cornerstone of two-stage object
det...
Existing learning-based surface reconstruction methods from point clouds...
Channel pruning is one of the important methods for deep model compressi...
Mismatch removal is a critical prerequisite in many feature-based tasks....
In this paper, we propose an efficient multi-scale geometric consistency...
Image feature point matching is a key step in Structure from Motion(SFM)...
In computer vision domain, how to fast and accurately perform multiview
...
Accuracy and efficiency are two key problems in large scale incremental
...
Recently, discriminatively learned correlation filters (DCF) has drawn m...
One of the main challenges of visual object tracking comes from the arbi...