Multi-modal Characteristic Guided Depth Completion Network

Yong-Jin Lee; Seokjun Park; Beomgu Kang; HyunWook Park

doi:10.1007/978-3-031-26313-2_36

ScienceGate Book Chapters

BOOK-CHAPTER

Multi-modal Characteristic Guided Depth Completion Network

Yong-Jin Lee Seokjun Park Beomgu Kang HyunWook Park

Year: 2023 Lecture notes in computer science Pages: 593-607 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-26313-2_36

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Modality (human–computer interaction) Artificial intelligence Lidar Computer vision Feature (linguistics) Depth map Object (grammar) Boundary (topology) Fuse (electrical) Fusion Pattern recognition (psychology) Image (mathematics) Remote sensing Mathematics Geography

Metrics

Cited By

0.54

FWCI (Field Weighted Citation Impact)

Refs

0.58

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Multi-modal Characteristic Guided Depth Completion Network

Metrics

Citation History

Topics

Related Documents

MDANet: Multi-Modal Deep Aggregation Network for Depth Completion

Adaptive Context-Aware Multi-Modal Network for Depth Completion

Multi-modal Bifurcated Network for Depth Guided Image Relighting

A Multi-Scale Guided Cascade Hourglass Network for Depth Completion

Guided Spatial Propagation Network for Depth Completion