Zobrazeno 1 - 10
of 297
pro vyhledávání: '"Yang, Yee‐Hong"'
Autor:
Huo, Dong, Guo, Zixin, Zuo, Xinxin, Shi, Zhihao, Lu, Juwei, Dai, Peng, Xu, Songcen, Cheng, Li, Yang, Yee-Hong
Given a 3D mesh, we aim to synthesize 3D textures that correspond to arbitrary textual descriptions. Current methods for generating and assembling textures from sampled views often result in prominent seams or excessive smoothing. To tackle these iss
Externí odkaz:
http://arxiv.org/abs/2408.01291
While recent advancements in deep-learning point cloud upsampling methods have improved the input to intelligent transportation systems, they still suffer from issues of domain dependency between synthetic and real-scanned point clouds. This paper ad
Externí odkaz:
http://arxiv.org/abs/2310.08755
This paper tackles spectral reflectance recovery (SRR) from RGB images. Since capturing ground-truth spectral reflectance and camera spectral sensitivity are challenging and costly, most existing approaches are trained on synthetic images and utilize
Externí odkaz:
http://arxiv.org/abs/2304.02162
Autor:
Kushol, Rafsanjany, Luk, Collin C., Dey, Avyarthana, Benatar, Michael, Briemberg, Hannah, Dionne, Annie, Dupré, Nicolas, Frayne, Richard, Genge, Angela, Gibson, Summer, Graham, Simon J., Korngut, Lawrence, Seres, Peter, Welsh, Robert C., Wilman, Alan, Zinman, Lorne, Kalra, Sanjay, Yang, Yee-Hong
Publikováno v:
Computerized Medical Imaging and Graphics Volume 108, September 2023, 102279
Amyotrophic Lateral Sclerosis (ALS) is a complex neurodegenerative disorder involving motor neuron degeneration. Significant research has begun to establish brain magnetic resonance imaging (MRI) as a potential biomarker to diagnose and monitor the s
Externí odkaz:
http://arxiv.org/abs/2302.10859
This paper proposes a new glass segmentation method utilizing paired RGB and thermal images. Due to the large difference between the transmission property of visible light and that of the thermal energy through the glass where most glass is transpare
Externí odkaz:
http://arxiv.org/abs/2204.05453
Transformer-based architectures start to emerge in single image super resolution (SISR) and have achieved promising performance. Most existing Vision Transformers divide images into the same number of patches with a fixed size, which may not be optim
Externí odkaz:
http://arxiv.org/abs/2203.10247
Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end training, they fail to generalize well to blurs unseen in the trainin
Externí odkaz:
http://arxiv.org/abs/2202.00179
Publikováno v:
In Expert Systems With Applications 15 May 2024 242
Publikováno v:
In Journal of Visual Communication and Image Representation May 2024 101
Publikováno v:
In Engineering Applications of Artificial Intelligence April 2024 130