Search Results for author:
Found 9 papers, 4 papers with code
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging
All methods are tested on three different OOD data sets.
Generic Merging of Structure from Motion Maps with a Low Memory Footprint
We use these representations to perform map merging so that the algorithm is invariant to the merging order and independent of the choice of coordinate system.
Trust Your IMU: Consequences of Ignoring the IMU Drift
In this paper, we argue that modern pre-integration methods for inertial measurement units (IMUs) are accurate enough to ignore the drift for short time intervals.
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.
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.
Efficient Real-Time Radial Distortion Correction for UAVs
In this paper we present a novel algorithm for onboard radial distortion correction for unmanned aerial vehicles (UAVs) equipped with an inertial measurement unit (IMU), that runs in real-time.
Minimal Solvers for Indoor UAV Positioning
In this paper we consider a collection of relative pose problems which arise naturally in applications for visual indoor UAV navigation.
A Unified Optimization Framework for Low-Rank Inducing Penalties
Lastly, we show on real non-rigid structure-from-motion (NRSfM) datasets, the issues that arise from using weighted nuclear norm penalties, and how this can be remedied using our proposed method.
Optimization and Control
Bilinear Parameterization For Differentiable Rank-Regularization
Either the set of matrices with a given rank can be explicitly parametrized using a bilinear factorization, or low rank can be implicitly enforced using regularization terms penalizing non-zero singular values.
