LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "semantic prior" as a keyword



Component Semantic Prior Guided Generative Adversarial Network for Face Super-Resolution

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2921859

Abstract: Face super-resolved (SR) images aid human perception. The state-of-the-art face SR methods leverage the spatial location of facial components as prior knowledge. However, it remains a great challenge to generate natural textures. In this paper,… read more here.

Keywords: face; component semantic; face super; semantic prior ... See more keywords

Recognition-Driven Compressed Image Generation Using Semantic-Prior Information

Sign Up to like & get
recommendations! Published in 2020 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2020.3004967

Abstract: Image compression, as one of the fundamental low-level image processing tasks, is very essential for computer vision. Current image compression methods can maintain considerable visual quality even at relatively lower bit-rate, but pay little attention… read more here.

Keywords: quality; prior information; semantic prior; image ... See more keywords

Semantic-Aware Dehazing Network With Adaptive Feature Fusion.

Sign Up to like & get
recommendations! Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2021.3124231

Abstract: Despite that convolutional neural networks (CNNs) have shown high-quality reconstruction for single image dehazing, recovering natural and realistic dehazed results remains a challenging problem due to semantic confusion in the hazy scene. In this article,… read more here.

Keywords: dehazing network; semantic aware; network adaptive; semantic prior ... See more keywords

OSP-SLAM: Semantic Prior-Free Visual SLAM for Arbitrary Dynamic Object

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3629841

Abstract: Visual simultaneous localization and mapping (V-SLAM) serves as a critical technology for mobile robots to achieve high-precision navigation and complex task execution. Traditional V-SLAM systems typically assume static environments, yet dynamic elements in dynamic scenarios… read more here.

Keywords: semantic prior; slam semantic; slam; free visual ... See more keywords