no code implementations • 2 Aug 2024 • Dong Huo, Zixin Guo, Xinxin Zuo, Zhihao Shi, Juwei Lu, Peng Dai, Songcen Xu, Li Cheng, Yee-Hong Yang
For view consistent sampling, first of all we maintain a texture map in RGB space that is parameterized by the denoising step and updated after each sampling step of the diffusion model to progressively reduce the view discrepancy.
1 code implementation • 4 Apr 2023 • Dong Huo, Jian Wang, Yiming Qian, Yee-Hong Yang
Instead of relying on naive end-to-end training, we also propose a novel architecture that integrates the physical relationship between the spectral reflectance and the corresponding RGB images into the network based on our mathematical analysis.
1 code implementation • 21 Feb 2023 • Rafsanjany Kushol, Collin C. Luk, Avyarthana Dey, Michael Benatar, Hannah Briemberg, Annie Dionne, Nicolas Dupré, Richard Frayne, Angela Genge, Summer Gibson, Simon J. Graham, Lawrence Korngut, Peter Seres, Robert C. Welsh, Alan Wilman, Lorne Zinman, Sanjay Kalra, Yee-Hong Yang
Finally, a majority voting scheme has been employed to those coronal slices of a particular subject to produce the final classification decision.
1 code implementation • 12 Apr 2022 • Dong Huo, Jian Wang, Yiming Qian, Yee-Hong Yang
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 transparent to the visible light but opaque to thermal energy, glass regions of a scene are made more distinguishable with a pair of RGB and thermal images than solely with an RGB image.
no code implementations • 19 Mar 2022 • Qing Cai, Yiming Qian, Jinxing Li, Jun Lv, Yee-Hong Yang, Feng Wu, David Zhang
Transformer-based architectures start to emerge in single image super resolution (SISR) and have achieved promising performance.
1 code implementation • 1 Feb 2022 • Dong Huo, Abbas Masoumzadeh, Rafsanjany Kushol, Yee-Hong Yang
Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization.
1 code implementation • 27 Jun 2021 • Dong Huo, Abbas Masoumzadeh, Yee-Hong Yang
In this paper, we propose a new architecture which consists of multiple Atrous Spatial Pyramid Deformable Convolution (ASPDC) modules to deblur an image end-to-end with more flexibility.
no code implementations • 25 Sep 2020 • Dong Huo, Yee-Hong Yang
Deep convolution neural networks (CNNs) play a critical role in single image super-resolution (SISR) since the amazing improvement of high performance computing.
no code implementations • 25 Sep 2020 • G M Mashrur E Elahi, Yee-Hong Yang
Instead, the important frames called keyframes not only are helpful in the recognition of an action but also can reduce the processing time of each video sequence for classification or in other applications, e. g. summarization.
1 code implementation • 12 Sep 2018 • Bernard Llanos, Yee-Hong Yang
We present a new algorithm for single camera 3D reconstruction, or 3D input for human-computer interfaces, based on precise tracking of an elongated object, such as a pen, having a pattern of colored bands.
no code implementations • ECCV 2018 • Yiming Qian, Yinqiang Zheng, Minglun Gong, Yee-Hong Yang
This paper presents the first approach for simultaneously recovering the 3D shape of both the wavy water surface and the moving underwater scene.
no code implementations • CVPR 2017 • Yiming Qian, Minglun Gong, Yee-Hong Yang
3D reconstruction of dynamic fluid surfaces is an open and challenging problem in computer vision.
no code implementations • 7 Mar 2017 • G M Mashrur E Elahi, Sanjay Kalra, Yee-Hong Yang
For the first time we extend a well-known gradient-based method, Co-occurrence Histograms of Oriented Gradients (CoHOG) to extract texture features from 2D Magnetic Resonance Images (MRI).
no code implementations • ICCV 2015 • Yiming Qian, Minglun Gong, Yee-Hong Yang
Extracting environment mattes using existing approaches often requires either thousands of captured images or a long processing time, or both.
no code implementations • 7 Apr 2015 • Xida Chen, Steve Sutphen, Paul Macoun, Yee-Hong Yang
The goal of our system is to provide a 3D model of the undersea habitat in a long-term continuous manner.
no code implementations • CVPR 2014 • Xida Chen, Yee-Hong Yang
At the heart of our method is an important finding that the thickness of the interface can be estimated from a set of pixel correspondences in the stereo images when the refractive axis is given.
no code implementations • CVPR 2014 • Ding Liu, Xida Chen, Yee-Hong Yang
3D reconstruction of transparent and specular objects is a very challenging topic in computer vision.
no code implementations • CVPR 2013 • Timothy Yau, Minglun Gong, Yee-Hong Yang
In underwater imagery, the image formation process includes refractions that occur when light passes from water into the camera housing, typically through a flat glass port.