Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Peiqi Duan"'
Publikováno v:
Complexity, Vol 2021 (2021)
The growth of strawberry will be stressed by biological or abiotic factors, which will cause a great threat to the yield and quality of strawberry, in which various strawberry diseased. However, the traditional identification methods have high misjud
Externí odkaz:
https://doaj.org/article/821d9ed2851d44c3a38cda4861a9e006
Autor:
Jin Han, Yixin Yang, Peiqi Duan, Chu Zhou, Lei Ma, Chao Xu, Tiejun Huang, Imari Sato, Boxin Shi
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-13
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(11)
Many visual and robotics tasks in real-world scenarios rely on robust handling of high speed motion and high dynamic range (HDR) with effectively high spatial resolution and low noise. Such stringent requirements, however, cannot be directly satisfie
Publikováno v:
CVPR
We address the problem of jointly denoising and super resolving neuromorphic events, a novel visual signal that represents thresholded temporal gradients in a space-time window. The challenge for event signal processing is that they are asynchronousl
Publikováno v:
Signal Processing: Image Communication. 100:116501
Single image super-resolution (SR) aims to estimate high-resolution (HR) images from low-resolution (LR) ones with high reconstruction quality and low time cost. In this paper, we propose a new pixel-wise SR method by combining a classification tree
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging
Publikováno v:
CVPR
We present a novel computational imaging system with high resolution and low noise. Our system consists of a traditional video camera which captures high-resolution intensity images, and an event camera which encodes high-speed motion as a stream of
Publikováno v:
ICASSP
In this paper, we propose a patch-wise super-resolution (SR) method that combines an external-sample classification tree and a nonlinear-mapping learning stage to simultaneously guarantees reconstruction quality and speed at the stage of patch repres
Publikováno v:
Image and Graphics Technologies and Applications ISBN: 9789811399169
IGTA
IGTA
In this paper, we propose an efficient and high-quality super-resolution method by combining Cross Classification Trees (CCTs)-based sample classification rule and Deep Forest mapping relationship. Firstly, we use a number of mapping kernels to divid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8104672dceaebac01ad52a57668e5ec
https://doi.org/10.1007/978-981-13-9917-6_52
https://doi.org/10.1007/978-981-13-9917-6_52
Publikováno v:
ICPR
Single image super-resolution (SR) technique is widely used to estimate high-resolution (HR) images from low-resolution (LR) ones. As a research hotspot, many example-based SR methods achieve superior results by learning class-mapping-kernels from cl
Publikováno v:
中国工程科学, Vol 23, Iss 3, Pp 75-81 (2021)
Human beings might face significant security risks after entering into the artificial general intelligence (AGI) era. By summarizing the difference between AGI and traditional artificial intelligence, we analyze the sources of the security risks of A