Zobrazeno 1 - 10
of 1 108
pro vyhledávání: '"ZHANG Honglei"'
Publikováno v:
应用气象学报, Vol 35, Iss 5, Pp 538-550 (2024)
In order to promote applications of FY-4B satellite data, temperature and humidity profile products of FY-4B geostationary interferometric infrared sounder (GIIRS) are verified and evaluated from February 2023 to January 2024 based on radiosonde data
Externí odkaz:
https://doaj.org/article/afc797c8302747088bebbbdbf4a5955e
Autor:
Zhou, Xin, Zhang, Lei, Zhang, Honglei, Zhang, Yixin, Zhang, Xiaoxiong, Zhang, Jie, Shen, Zhiqi
Human behavioral patterns and consumption paradigms have emerged as pivotal determinants in environmental degradation and climate change, with quotidian decisions pertaining to transportation, energy utilization, and resource consumption collectively
Externí odkaz:
http://arxiv.org/abs/2411.07658
This paper investigates the efficacy of jointly optimizing content-specific post-processing filters to adapt a human oriented video/image codec into a codec suitable for machine vision tasks. By observing that artifacts produced by video/image codecs
Externí odkaz:
http://arxiv.org/abs/2406.12367
Autor:
Zhang, Honglei, Li, Haoxuan, Chen, Jundong, Cui, Sen, Yan, Kunda, Wuerkaixi, Abudukelimu, Zhou, Xin, Shen, Zhiqi, Li, Yidong
Federated recommendation aims to collect global knowledge by aggregating local models from massive devices, to provide recommendations while ensuring privacy. Current methods mainly leverage aggregation functions invented by federated vision communit
Externí odkaz:
http://arxiv.org/abs/2406.03933
Federated recommendations (FRs), facilitating multiple local clients to collectively learn a global model without disclosing user private data, have emerged as a prevalent architecture for privacy-preserving recommendations. In conventional FRs, a do
Externí odkaz:
http://arxiv.org/abs/2402.01124
Autor:
Ahonen, Jukka I., Le, Nam, Zhang, Honglei, Hallapuro, Antti, Cricri, Francesco, Tavakoli, Hamed Rezazadegan, Hannuksela, Miska M., Rahtu, Esa
The recent progress in artificial intelligence has led to an ever-increasing usage of images and videos by machine analysis algorithms, mainly neural networks. Nonetheless, compression, storage and transmission of media have traditionally been design
Externí odkaz:
http://arxiv.org/abs/2401.10761
Autor:
Le, Nam, Zhang, Honglei, Cricri, Francesco, Youvalari, Ramin G., Tavakoli, Hamed Rezazadegan, Aksu, Emre, Hannuksela, Miska M., Rahtu, Esa
Publikováno v:
IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022, pp. 3411-3415
Image coding for machines (ICM) aims at reducing the bitrate required to represent an image while minimizing the drop in machine vision analysis accuracy. In many use cases, such as surveillance, it is also important that the visual quality is not dr
Externí odkaz:
http://arxiv.org/abs/2401.10732
Autor:
Fang Yunzhou, Zhang Honglei
Publikováno v:
Materials Research Express, Vol 7, Iss 1, p 015346 (2020)
Rubber bushing are important components in suspension of new-energy vehicles. It is of great practical engineering significance to conduct in-depth study of high temperature fatigue characteristics. On the high temperature fatigue test bench, the sam
Externí odkaz:
https://doaj.org/article/6be20841b9dc40ceb4b96531560625ee
Collaborative 3D object detection, with its improved interaction advantage among multiple agents, has been widely explored in autonomous driving. However, existing collaborative 3D object detectors in a fully supervised paradigm heavily rely on large
Externí odkaz:
http://arxiv.org/abs/2307.00717
Autor:
Zhang, Honglei, Cricri, Francesco, Tavakoli, Hamed Rezazadegan, Aksu, Emre, Hannuksela, Miska M.
Deep learning is overwhelmingly dominant in the field of computer vision and image/video processing for the last decade. However, for image and video compression, it lags behind the traditional techniques based on discrete cosine transform (DCT) and
Externí odkaz:
http://arxiv.org/abs/2210.04112