activity
20172024
most citedPIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation

38 citations · 131 across the 24 of their papers we have counts for

collaborators

55 papers

cs.CV2022

Expansion of Visual Hints for Improved Generalization in Stereo Matching

Andrea Pilzer, Yuxin Hou, Niki Loppi +2

We introduce visual hints expansion for guiding stereo matching to improve generalization. Our work is motivated by the robustness of Visual Inertial Odometry (VIO) in computer vis…

cs.LG20221 cited

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning

Yi Zhao, Rinu Boney, Alexander Ilin +2

Offline reinforcement learning, by learning from a fixed dataset, makes it possible to learn agent behaviors without interacting with the environment. However, depending on the qua…

cs.SD2022

Multiple Offsets Multilateration: a new paradigm for sensor network calibration with unsynchronized reference nodes

Luca Ferranti, Kalle Åström, Magnus Oskarsson +2

Positioning using wave signal measurements is used in several applications, such as GPS systems, structure from sound and Wifi based positioning. Mathematically, such problems requ…

eess.IV202114 cited

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…

cs.CV2021

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…

math.NA2021

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…