Zobrazeno 1 - 10
of 202
pro vyhledávání: '"Han Liangxiu"'
Deep neural networks have recently achieved significant advancements in remote sensing superresolu-tion (SR). However, most existing methods are limited to low magnification rates (e.g., 2 or 4) due to the escalating ill-posedness at higher magnifica
Externí odkaz:
http://arxiv.org/abs/2412.18996
Depth estimation is crucial for interpreting complex environments, especially in areas such as autonomous vehicle navigation and robotics. Nonetheless, obtaining accurate depth readings from event camera data remains a formidable challenge. Event cam
Externí odkaz:
http://arxiv.org/abs/2404.17335
Autor:
Shi, Yue, Han, Liangxiu, González-Moreno, Pablo, Dancey, Darren, Huang, Wenjiang, Zhang, Zhiqiang, Liu, Yuanyuan, Huan, Mengning, Miao, Hong, Dai, Min
Accurate and timely detection of plant stress is essential for yield protection, allowing better-targeted intervention strategies. Recent advances in remote sensing and deep learning have shown great potential for rapid non-invasive detection of plan
Externí odkaz:
http://arxiv.org/abs/2306.17207
Autor:
Zhang, Xin, Han, Liangxiu
Remote sensing data has been widely used for various Earth Observation (EO) missions such as land use and cover classification, weather forecasting, agricultural management, and environmental monitoring. Most existing remote sensing data-based models
Externí odkaz:
http://arxiv.org/abs/2306.15836
Autor:
Kavarakuntla, Tulasi, Han, Liangxiu, Lloyd, Huw, Latham, Annabel, Kleerekoper, Anthony, Akintoye, Samson B.
Performance modelling of a deep learning application is essential to improve and quantify the efficiency of the model framework. However, existing performance models are mostly case-specific, with limited capability for the new deep learning framewor
Externí odkaz:
http://arxiv.org/abs/2305.11665
Structural magnetic resonance imaging (sMRI) can identify subtle brain changes due to its high contrast for soft tissues and high spatial resolution. It has been widely used in diagnosing neurological brain diseases, such as Alzheimer disease (AD). H
Externí odkaz:
http://arxiv.org/abs/2302.08967
Security and safety are of paramount importance to human-robot interaction, either for autonomous robots or human-robot collaborative manufacturing. The intertwined relationship between security and safety has imposed new challenges on the emerging d
Externí odkaz:
http://arxiv.org/abs/2211.09507
Autor:
Akintoye, Samson B., Han, Liangxiu, Lloyd, Huw, Zhang, Xin, Dancey, Darren, Chen, Haoming, Zhang, Daoqiang
Deep Neural Network (DNN) models are usually trained sequentially from one layer to another, which causes forward, backward and update locking's problems, leading to poor performance in terms of training time. The existing parallel strategies to miti
Externí odkaz:
http://arxiv.org/abs/2207.11019
Realistic hyperspectral image (HSI) super-resolution (SR) techniques aim to generate a high-resolution (HR) HSI with higher spectral and spatial fidelity from its low-resolution (LR) counterpart. The generative adversarial network (GAN) has proven to
Externí odkaz:
http://arxiv.org/abs/2111.08685
Nitrogen (N) fertilizer is routinely applied by farmers to increase crop yields. At present, farmers often over-apply N fertilizer in some locations or at certain times because they do not have high-resolution crop N status data. N-use efficiency can
Externí odkaz:
http://arxiv.org/abs/2111.06839