38 citations · 171 across the 80 of their papers we have counts for
9 papers · 1 filter
Bridging the gap between paired and unpaired medical image translation
Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala
Medical image translation has the potential to reduce the imaging workload, by removing the need to capture some sequences, and to reduce the annotation burden for developing machi…
Digging Into Self-Supervised Learning of Feature Descriptors
Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li +2
Fully-supervised CNN-based approaches for learning local image descriptors have shown remarkable results in a wide range of geometric tasks. However, most of them require per-pixel…
Homotopy Continuation for Sensor Networks Self-Calibration
Luca Ferranti, Kalle Åström, Magnus Oskarsson +2
Given a sensor network, TDOA self-calibration aims at simultaneously estimating the positions of receivers and transmitters, and transmitters time offsets. This can be formulated a…
Continual Learning for Image-Based Camera Localization
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov +2
For several emerging technologies such as augmented reality, autonomous driving and robotics, visual localization is a critical component. Directly regressing camera pose/3D scene…
Electrostatic Discovery Atomic Force Microscopy
Niko Oinonen, Chen Xu, Benjamin Alldritt +7
While offering unprecedented resolution of atomic and electronic structure, Scanning Probe Microscopy techniques have found greater challenges in providing reliable electrostatic c…
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry
Otto Seiskari, Pekka Rantalankila, Juho Kannala +3
We present HybVIO, a novel hybrid approach for combining filtering-based visual-inertial odometry (VIO) with optimization-based SLAM. The core of our method is highly robust, indep…