1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
Lu Sang, Bjoern Haefner, Xingxing Zuo +1
Fine-detailed reconstructions are in high demand in many applications. However, most of the existing RGB-D reconstruction methods rely on pre-calculated accurate camera poses to re…
cs.LG2021
Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry
Ji Yang, Lu Sang, Daniel Cremers
The empirical results suggest that the learnability of a neural network is directly related to its size. To mathematically prove this, we borrow a tool in topological algebra: Bett…
cs.CV2019
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach
Lu Sang, Bjoern Haefner, Daniel Cremers
A novel approach towards depth map super-resolution using multi-view uncalibrated photometric stereo is presented. Practically, an LED light source is attached to a commodity RGB-D…