Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Burak Kakillioglu"'
Publikováno v:
IEEE Access, Vol 8, Pp 27393-27405 (2020)
The proliferation of 3D sensors, due to the increased demand for 3D data, induced the 3D computer vision research in the last decade, and 3D data processing has gained a lot of interest. As in many other applications in computer vision, deep learning
Externí odkaz:
https://doaj.org/article/cab1bdfc48ad4333b1cf342b0b4fcb3a
Publikováno v:
IEEE Access, Vol 8, Pp 118205-118218 (2020)
In this work, we present a novel and promising approach to autonomously detect different levels of simultaneous and spatiotemporal activity in multidimensional data. We introduce a new multilabeling technique, which assigns different labels to differ
Externí odkaz:
https://doaj.org/article/63530e988c444d2793d8d0390761b964
Publikováno v:
IEEE Sensors Journal. 21:24558-24569
Studying the relationship between the brain and finger tapping motions can contribute towards an improved understanding of neuromuscular impairment. Furthermore, acquiring brain data signals non-intrusively during finger tapping exercises, and buildi
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Publikováno v:
IEEE Access, Vol 8, Pp 27393-27405 (2020)
The proliferation of 3D sensors, due to the increased demand for 3D data, induced the 3D computer vision research in the last decade, and 3D data processing has gained a lot of interest. As in many other applications in computer vision, deep learning
Autor:
Chenbin Pan, Jiyang Wang, Weiheng Chai, Burak Kakillioglu, Yasser El Masri, Eleanna Panagoulia, Norhan Bayomi, Kaiwen Chen, John E. Fernandez, Tarek Rakha, Senem Velipasalar
Publikováno v:
Advanced Engineering Informatics. 54:101767
With the proliferation of Lidar sensors and 3D vision cameras, 3D point cloud analysis has attracted significant attention in recent years. After the success of the pioneer work PointNet, deep learning-based methods have been increasingly applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba37e6c159d0ed001c9be3a83901e184
Publikováno v:
ACSSC
In this paper, a novel deep learning-based point cloud segmentation model, referred to as the hierarchical grow network, is proposed. This model is based on the PointNet segmentation model.Different from PointNet, the entire point cloud is divided in
Deep Learning-Based Obstacle Detection and Classification With Portable Uncalibrated Patterned Light
Publikováno v:
IEEE Sensors Journal. 18:8416-8425
Autonomous navigation and obstacle avoidance systems are critically relevant and important for visually impaired people, assisted driving applications, and autonomous robots. Even though there has been significant amount of work on obstacle detection
Publikováno v:
Technology|Architecture + Design. 2:30-44
Comprehensive and accurate energy audits are essential to maximize energy savings and improvements in buildings realized from the design and implementation of deep retrofits for building envelopes....