Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chengjin Lyu"'
Publikováno v:
Sensors, Vol 23, Iss 24, p 9772 (2023)
In this paper, we propose a new cooperative method that improves the accuracy of Turn Movement Count (TMC) under challenging conditions by introducing contextual observations from the surrounding areas. The proposed method focuses on the correct iden
Externí odkaz:
https://doaj.org/article/f22584d1b4eb41d0942058394f540683
Publikováno v:
Sensors, Vol 22, Iss 12, p 4416 (2022)
Dual cameras with visible-thermal multispectral pairs provide both visual and thermal appearance, thereby enabling detecting pedestrians around the clock in various conditions and applications, including autonomous driving and intelligent transportat
Externí odkaz:
https://doaj.org/article/2f17d6ef511a4f6ea347377928340da6
Autor:
Chengjin Lyu, Jie Jiang
Publikováno v:
Remote Sensing, Vol 9, Iss 5, p 439 (2017)
Image registration is a basic but essential step for remote sensing image processing, and finding stable features in multitemporal images is one of the most considerable challenges in the field. The main shape contours of artificial objects (e.g., ro
Externí odkaz:
https://doaj.org/article/0b5860ab66634a0b86c451cbd7efe08a
RWSNet: a semantic segmentation network based on SegNet combined with random walk for remote sensing
Publikováno v:
International Journal of Remote Sensing. 41:487-505
Semantic segmentation methods based on deep learning considerably improve the segmentation performance of remote sensing images. However, with the extensive application of high-resolution remote se...
Autor:
Ljiljana Platisa, Bart Goossens, Asad Munir, Christian Micheloni, Chengjin Lyu, Wilfried Philips, Patrick Heyer
Publikováno v:
ICIAI
2021 the 5th International Conference on Innovation in Artificial Intelligence
Ghent University Academic Bibliography
ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence
5th International Conference on Innovation in Artificial Intelligence (ICIAI 2021).
2021 the 5th International Conference on Innovation in Artificial Intelligence
Ghent University Academic Bibliography
ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence
5th International Conference on Innovation in Artificial Intelligence (ICIAI 2021).
Recently, pedestrian detection using visible-thermal pairs plays a key role in around-the-clock applications, such as public surveillance and autonomous driving. However, the performance of a well-trained pedestrian detector may drop significantly wh
Publikováno v:
18th IEEE/CVF International Conference on Computer Vision Workshops
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Person re-identification (re-id) aims to retrieve images of same identities across different camera views. Resolution mismatch occurs due to varying distances between person of interest and cameras, this significantly degrades the performance of re-i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c29ce6e61dd9f78d835ed28fa3623ae
Autor:
Bart Goossens, Ljiljana Platisa, Wilfried Philips, Chengjin Lyu, Patrick Heyer-Wollenberg, Peter Veelaert
Publikováno v:
Advanced Concepts for Intelligent Vision Systems-20th International Conference, ACIVS 2020, Auckland, New Zealand, February 10–14, 2020, Proceedings
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
Advanced concepts for intelligent vision systems-ACIVS 2020
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advanced Concepts for Intelligent Vision Systems
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
Advanced concepts for intelligent vision systems-ACIVS 2020
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advanced Concepts for Intelligent Vision Systems
In the task of video-based person re-identification, features of persons in the query and gallery sets are compared to search the best match. Generally, most existing methods aggregate the frame-level features together using a temporal method to gene
Autor:
Jie Jiang, Chengjin Lyu
Publikováno v:
Remote Sensing
Volume 9
Issue 5
Pages: 439
Remote Sensing, Vol 9, Iss 5, p 439 (2017)
Volume 9
Issue 5
Pages: 439
Remote Sensing, Vol 9, Iss 5, p 439 (2017)
Image registration is a basic but essential step for remote sensing image processing, and finding stable features in multitemporal images is one of the most considerable challenges in the field. The main shape contours of artificial objects (e.g., ro
Publikováno v:
网络与信息安全学报, Vol 10, Iss 4, Pp 175-186 (2024)
With the development of cloud-network resource transaction technology based on smart contracts, computing power transactions have reached a multi-party scale, seriously affecting the efficiency and credibility of computing network resource transactio
Externí odkaz:
https://doaj.org/article/3598afa1c27f4465b7da4f4d60346fa5