Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Keyan Ren"'
Publikováno v:
IET Computer Vision, Vol 16, Iss 4, Pp 295-306 (2022)
Abstract In order to train an end‐to‐end model for better performance in distinguishing superclasses and make the model more sensitive to inter‐class differences, the authors propose a Feature Context Network (FCNet), a novel ensemble framework
Externí odkaz:
https://doaj.org/article/276bdcfe47e147aca8fcaeaa0e450b2f
Publikováno v:
Information, Vol 13, Iss 4, p 169 (2022)
3D object detection with LiDAR and camera fusion has always been a challenge for autonomous driving. This work proposes a deep neural network (namely FuDNN) for LiDAR–camera fusion 3D object detection. Firstly, a 2D backbone is designed to extract
Externí odkaz:
https://doaj.org/article/ebbfa754a94b49a3b567bcebd73c58b4
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 14, Iss 1, Pp JAMDSM0001-JAMDSM0001 (2020)
Micro-droplet generation is related to liquid dispensing technology that has potential applications in many fields. Specifically, pneumatic micro-droplet generation is controlled by a solenoid valve being briefly turned on, so that high pressure gas
Externí odkaz:
https://doaj.org/article/883c1ee40ca94556a0377dcff594ba77
Publikováno v:
Entropy, Vol 23, Iss 12, p 1635 (2021)
Wearable sensor-based HAR (human activity recognition) is a popular human activity perception method. However, due to the lack of a unified human activity model, the number and positions of sensors in the existing wearable HAR systems are not the sam
Externí odkaz:
https://doaj.org/article/a59b1bebe7f74965a6bd188d9c7b160a
Publikováno v:
Computer Communications. 205:170-181
Autor:
Chun Zhang, Keyan Ren
Publikováno v:
Neural Computing and Applications. 34:22417-22434
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
Science China Technological Sciences. 64:1238-1249
Lane and its bifurcation detection is a vital and active research topic in low cost camera-based autonomous driving and advanced driver assistance system (ADAS). The common lane detection pipeline usually predicts lane segmentation mask firstly, and
Publikováno v:
Neural Computing and Applications. 35:9773
Autor:
Zhihai Wang, Jiangeng Li, Weijie Bao, Xiaoyi Wang, Zhixuan Er, Fei Wang, Keyan Ren, Yiwei Wang
Publikováno v:
ICMLA
Pneumatic valve-controlled micro-droplet generation is a printing technique that has potential applications in many fields, especially in the field of biomedical printing. The droplet generation is controlled by a solenoid valve being briefly turned