21 citations · 39 across the 4 of their papers we have counts for
4 papers
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
Koutilya PNVR, Hao Zhou, David Jacobs
We propose a novel method for combining synthetic and real images when training networks to determine geometric information from a single image. We suggest a method for mapping bot…
A Deep Cascade Network for Unaligned Face Attribute Classification
Hui Ding, Hao Zhou, Shaohua Kevin Zhou +1
Humans focus attention on different face regions when recognizing face attributes. Most existing face attribute classification methods use the whole image as input. Moreover, some…
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images
Hao Zhou, Jin Sun, Yaser Yacoob +1
Lighting estimation from face images is an important task and has applications in many areas such as image editing, intrinsic image decomposition, and image forgery detection. We p…
Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability
Soumyadip Sengupta, Hao Zhou, Walter Forkel +3
We introduce a new, integrated approach to uncalibrated photometric stereo. We perform 3D reconstruction of Lambertian objects using multiple images produced by unknown, directiona…