Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Liu, Bozhi"'
A major challenge for high dynamic range (HDR) image reconstruction from multi-exposed low dynamic range (LDR) images, especially with dynamic scenes, is the extraction and merging of relevant contextual features in order to suppress any ghosting and
Externí odkaz:
http://arxiv.org/abs/2211.04238
Publikováno v:
In Pattern Recognition Letters August 2024 184:148-154
There are large amount of valuable video archives in Video Home System (VHS) format. However, due to the analog nature, their quality is often poor. Compared to High-definition television (HDTV), VHS video not only has a dull color appearance but als
Externí odkaz:
http://arxiv.org/abs/2101.02384
Facial attributes in StyleGAN generated images are entangled in the latent space which makes it very difficult to independently control a specific attribute without affecting the others. Supervised attribute editing requires annotated training data w
Externí odkaz:
http://arxiv.org/abs/2011.02638
Recent works have demonstrated convolutional neural networks are vulnerable to adversarial examples, i.e., inputs to machine learning models that an attacker has intentionally designed to cause the models to make a mistake. To improve the adversarial
Externí odkaz:
http://arxiv.org/abs/2005.04564
Minimizing the Gaussian curvature of meshes can play a fundamental role in 3D mesh processing. However, there is a lack of computationally efficient and robust Gaussian curvature optimization method. In this paper, we present a simple yet effective m
Externí odkaz:
http://arxiv.org/abs/2003.09178
Akademický článek
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Autor:
Hou, Xianxu, Liu, Jingxin, Xu, Bolei, Liu, Bozhi, Chen, Xin, Ilyas, Mohammad, Ellis, Ian, Garibaldi, Jon, Qiu, Guoping
Supervised semantic segmentation normally assumes the test data being in a similar data domain as the training data. However, in practice, the domain mismatch between the training and unseen data could lead to a significant performance drop. Obtainin
Externí odkaz:
http://arxiv.org/abs/1909.11524
Autor:
Hou, Xianxu, Luo, Hongming, Liu, Jingxin, Xu, Bolei, Sun, Ke, Gong, Yuanhao, Liu, Bozhi, Qiu, Guoping
Image denoising is the process of removing noise from noisy images, which is an image domain transferring task, i.e., from a single or several noise level domains to a photo-realistic domain. In this paper, we propose an effective image denoising met
Externí odkaz:
http://arxiv.org/abs/1906.01259
Autor:
Xu, Bolei, Liu, Jingxin, Hou, Xianxu, Liu, Bozhi, Garibaldi, Jon, Ellis, Ian O., Green, Andy, Shen, Linlin, Qiu, Guoping
One issue with computer based histopathology image analysis is that the size of the raw image is usually very large. Taking the raw image as input to the deep learning model would be computationally expensive while resizing the raw image to low resol
Externí odkaz:
http://arxiv.org/abs/1902.10946