Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Qian, Yanlin"'
Convolution neural network is successful in pervasive vision tasks, including label distribution learning, which usually takes the form of learning an injection from the non-linear visual features to the well-defined labels. However, how the discrepa
Externí odkaz:
http://arxiv.org/abs/2311.18605
Autor:
Qian, Yanlin
The shift of hydrocarbon exploration and production to deepwater has resulted in new opportunities for the petroleum industry(in this project, the deepwater depth greater than 1,000 ft) but also, it has introduced new challenges. In 2001,more than 99
Externí odkaz:
http://hdl.handle.net/1969.1/215
In this paper, we present Point Cloud Color Constancy, in short PCCC, an illumination chromaticity estimation algorithm exploiting a point cloud. We leverage the depth information captured by the time-of-flight (ToF) sensor mounted rigidly with the R
Externí odkaz:
http://arxiv.org/abs/2111.11280
Autor:
Ershov, Egor, Savchik, Alex, Semenkov, Ilya, Banić, Nikola, Koscević, Karlo, Subašić, Marko, Belokopytov, Alexander, Li, Zhihao, Terekhin, Arseniy, Senshina, Daria, Nikonorov, Artem, Qian, Yanlin, Buzzelli, Marco, Riva, Riccardo, Bianco, Simone, Schettini, Raimondo, Lončarić, Sven, Nikolaev, Dmitry
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an accurate and reliable illumination estimation is important for reducing t
Externí odkaz:
http://arxiv.org/abs/2012.15779
We address the problem of decomposing an image into albedo and shading. We propose the Fast Fourier Intrinsic Network, FFI-Net in short, that operates in the spectral domain, splitting the input into several spectral bands. Weights in FFI-Net are opt
Externí odkaz:
http://arxiv.org/abs/2011.04612
We propose a neural network-based solution for three different tracks of 2nd International Illumination Estimation Challenge (chromaticity.iitp.ru). Our method is built on pre-trained Squeeze-Net backbone, differential 2D chroma histogram layer and a
Externí odkaz:
http://arxiv.org/abs/2010.05149
Temporal Color Constancy (CC) is a recently proposed approach that challenges the conventional single-frame color constancy. The conventional approach is to use a single frame - shot frame - to estimate the scene illumination color. In temporal CC, m
Externí odkaz:
http://arxiv.org/abs/2003.03763
Regressing the illumination of a scene from the representations of object appearances is popularly adopted in computational color constancy. However, it's still challenging due to intrinsic appearance and label ambiguities caused by unknown illuminan
Externí odkaz:
http://arxiv.org/abs/1912.11180
The best RGBD trackers provide high accuracy but are slow to run. On the other hand, the best RGB trackers are fast but clearly inferior on the RGBD datasets. In this work, we propose a deep depth-aware long-term tracker that achieves state-of-the-ar
Externí odkaz:
http://arxiv.org/abs/1912.00660
We briefly introduce two submissions to the Illumination Estimation Challenge, in the Int'l Workshop on Color Vision, affiliated to the 11th Int'l Symposium on Image and Signal Processing and Analysis. The Fourier-transform-based submission is ranked
Externí odkaz:
http://arxiv.org/abs/1908.02076