Search Results for author:
Found 8 papers, 6 papers with code
Range-Agnostic Multi-View Depth Estimation With Keyframe Selection
Methods for 3D reconstruction from posed frames require prior knowledge about the scene metric range, usually to recover matching cues along the epipolar lines and narrow the search range.
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization
This paper proposes a new framework for depth completion robust against domain-shifting issues.
Active Stereo Without Pattern Projector
This paper proposes a novel framework integrating the principles of active stereo in standard passive camera systems without a physical pattern projector.
Sparsity Agnostic Depth Completion
We present a novel depth completion approach agnostic to the sparsity of depth points, that is very likely to vary in many practical applications.
Multi-View Guided Multi-View Stereo
This paper introduces a novel deep framework for dense 3D reconstruction from multiple image frames, leveraging a sparse set of depth measurements gathered jointly with image acquisition.
Unsupervised confidence for LiDAR depth maps and applications
Depth perception is pivotal in many fields, such as robotics and autonomous driving, to name a few.
Monitoring social distancing with single image depth estimation
In this paper, we aim to address this task leveraging a single RGB frame without additional depth sensors.
Lifting trianguline Galois representations along isogenies
Given a central isogeny $\pi\colon G\to H$ of connected reductive $\overline{\mathbb Q}_p$-groups, and a local Galois representation $\rho$ valued in $H(\overline{\mathbb Q}_p)$ that is trianguline in the sense of Daruvar, we study whether a lift of $\rho$ along $\pi$ is still trianguline.
Number Theory 11F33, 11F80
