Search Results for author:
Found 17 papers, 7 papers with code
Robust and Accurate Cylinder Triangulation
In this paper we present methods for triangulation of infinite cylinders from image line silhouettes.
Extending GCC-PHAT using Shift Equivariant Neural Networks
Speaker localization using microphone arrays depends on accurate time delay estimation techniques.
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
While the Transformer architecture has become ubiquitous in the machine learning field, its adaptation to 3D shape recognition is non-trivial.
Ranked #6 on
Point Cloud Registration
on 3DMatch Benchmark
Orthographic-Perspective Epipolar Geometry
In this paper we consider the epipolar geometry between orthographic and perspective cameras.
Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation
Then, taking the low resolution voxel grids which are generated by the coarse 3D models as input, the voxel super-resolution based on an implicit representation is learned through a multi-stage 3D convolutional neural network.
A novel joint points and silhouette-based method to estimate 3D human pose and shape
A novel energy function based on the correspondence is built and minimized to fit parametric model to the silhouettes.
FLIP: A Difference Evaluator for Alternating Images
Image quality measures are becoming increasingly important in the field of computer graphics.
Deep Ordinal Regression with Label Diversity
By discretizing the target into a set of non-overlapping classes, it has been shown that training a classifier can improve neural network accuracy compared to using a standard regression approach.
Ranked #2 on
Head Pose Estimation
on BIWI
(MAE (trained with BIWI data) metric)
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions
Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration.
Beyond Grobner Bases: Basis Selection for Minimal Solvers
In this paper we show how we can make polynomial solvers based on the action matrix method faster, by careful selection of the monomial bases.
A fast minimal solver for absolute camera pose with unknown focal length and radial distortion from four planar points
In this paper we present a fast minimal solver for absolute camera pose estimation from four known points that lie in a plane.
Beyond Gröbner Bases: Basis Selection for Minimal Solvers
In this paper we show how we can make polynomial solvers based on the action matrix method faster, by careful selection of the monomial bases.
Polynomial Solvers for Saturated Ideals
In this paper we present a new method for creating polynomial solvers for problems where a (possibly infinite) subset of the solutions are undesirable or uninteresting.
Efficient Solvers for Minimal Problems by Syzygy-Based Reduction
In this paper we study the problem of automatically generating polynomial solvers for minimal problems.
Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC
In this paper we present a system for performing low rank matrix factorization.
On the Minimal Problems of Low-Rank Matrix Factorization
Low-rank matrix factorization is an essential problem in many areas including computer vision, with applications in e. g. affine structure-from-motion, photometric stereo, and non-rigid structure from motion.
Accurate Localization and Pose Estimation for Large 3D Models
For one, it makes the correspondence problem very difficult and it is likely that there will be a significant rate of outliers to handle.
