4 papers · 1 filter
Neural Reflectance for Shape Recovery with Shadow Handling
Junxuan Li, Hongdong Li
This paper aims at recovering the shape of a scene with unknown, non-Lambertian, and possibly spatially-varying surface materials. When the shape of the object is highly complex an…
Lighting, Reflectance and Geometry Estimation from 360 Panoramic Stereo
Junxuan Li, Hongdong Li, Yasuyuki Matsushita
We propose a method for estimating high-definition spatially-varying lighting, reflectance, and geometry of a scene from 360 stereo images. Our model takes advantage of t…
A Frequency Domain Neural Network for Fast Image Super-resolution
Junxuan Li, Shaodi You, Antonio Robles-Kelly
In this paper, we present a frequency domain neural network for image super-resolution. The network employs the convolution theorem so as to cast convolutions in the spatial domain…
Secrets in Computing Optical Flow by Convolutional Networks
Junxuan Li
Convolutional neural networks (CNNs) have been widely used over many areas in compute vision. Especially in classification. Recently, FlowNet and several works on opti- cal estimat…