Search Results for author: Xiaowei Luo

Found 6 papers, 1 papers with code

Neuromorphic Synergy for Video Binarization

1 code implementation20 Feb 2024 ShiJie Lin, Xiang Zhang, Lei Yang, Lei Yu, Bin Zhou, Xiaowei Luo, Wenping Wang, Jia Pan

We also develop an efficient integration method to propagate this binary image to high frame rate binary video.

Binarization Camera Calibration +1

Personal Protective Equipment Detection in Extreme Construction Conditions

no code implementations25 Jul 2023 Yuexiong Ding, Xiaowei Luo

Object detection has been widely applied for construction safety management, especially personal protective equipment (PPE) detection.

Management object-detection +2

Scene restoration from scaffold occlusion using deep learning-based methods

no code implementations30 May 2023 Yuexiong Ding, Muyang Liu, Xiaowei Luo

The occlusion issues of computer vision (CV) applications in construction have attracted significant attention, especially those caused by the wide-coverage, crisscrossed, and immovable scaffold.

Image Inpainting Segmentation +1

Monocular 2D Camera-based Proximity Monitoring for Human-Machine Collision Warning on Construction Sites

no code implementations29 May 2023 Yuexiong Ding, Xiaowei Luo

This study preliminarily reveals the potential and feasibility of proximity monitoring using only a 2D camera, providing a new promising and economical way for early warning of human-machine collisions.

Management Monocular 3D Object Detection +1

VCVW-3D: A Virtual Construction Vehicles and Workers Dataset with 3D Annotations

no code implementations29 May 2023 Yuexiong Ding, Xiaowei Luo

Currently, object detection applications in construction are almost based on pure 2D data (both image and annotation are 2D-based), resulting in the developed artificial intelligence (AI) applications only applicable to some scenarios that only require 2D information.

Monocular 3D Object Detection Object +1

Autofocus for Event Cameras

no code implementations CVPR 2022 ShiJie Lin, Yinqiang Zhang, Lei Yu, Bin Zhou, Xiaowei Luo, Jia Pan

Focus control (FC) is crucial for cameras to capture sharp images in challenging real-world scenarios.

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