Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Lihuo He"'
Multi-Window Fusion Spatial-Frequency Joint Self-Attention for Remote-Sensing Image Super-Resolution
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3695 (2024)
Remote-sensing images typically feature large dimensions and contain repeated texture patterns. To effectively capture finer details and encode comprehensive information, feature-extraction networks with larger receptive fields are essential for remo
Externí odkaz:
https://doaj.org/article/6b3e1572097b4589a34c1521a3ea703d
Publikováno v:
IEEE Access, Vol 7, Pp 176087-176098 (2019)
Blind image quality assessment (BIQA) is a fundamental yet challenging problem in the image processing system. Existing BIQA models have the following problems: 1) Due to the lack of available quality-label images, most of the methods have poor gener
Externí odkaz:
https://doaj.org/article/cd6ffa66f6fc495cb5082c444705c66e
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:623-634
A largely ignored fact in spectral super-resolution (SSR) is that the subsistent mapping methods neglect the auxiliary prior of camera spectral sensitivity (CSS) and only pay attention to wider or deeper network framework design while ignoring to exc
Publikováno v:
IEEE Transactions on Multimedia. 25:1217-1229
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:8179-8191
Video-based person re-identification (Re-ID) aims at retrieving the person through the video sequences across non-overlapping cameras. Some characteristics of pedestrians are not consecutive across frames due to the variations of viewpoints, postures
Publikováno v:
IEEE Transactions on Multimedia. :1-13
Publikováno v:
Neurocomputing. 457:242-253
Benefiting with the rapid development of communication networks, effective video quality assessment (VQA) models which provide guidance for video transmission and compression technologies are highly demanded. This paper proposes a general-purpose ful
Publikováno v:
Neurocomputing. 430:14-23
With the ever-expanding volume of visual images on the Internet, automatic image aesthetic prediction is becoming more and more important in computer vision field. Considering the image aesthetic assessment is a highly subjective and complex task, so