15 citations · 31 across the 7 of their papers we have counts for
11 papers
Learning From Long-Tailed Data With Noisy Labels
Shyamgopal Karthik, Jérome Revaud, Boris Chidlovskii
Class imbalance and noisy labels are the norm rather than the exception in many large-scale classification datasets. Nevertheless, most works in machine learning typically assume b…
Magnetic Field Sensing for Pedestrian and Robot Indoor Positioning
Leonid Antsfeld, Boris Chidlovskii
In this paper we address the problem of indoor localization using magnetic field data in two setups, when data is collected by (i) human-held mobile phone and (ii) by localization…
Universal Domain Adaptation in Ordinal Regression
Boris Chidlovskii, Assem Sadek, Christian Wolf
We address the problem of universal domain adaptation (UDA) in ordinal regression (OR), which attempts to solve classification problems in which labels are not independent, but fol…
Learning Synthetic to Real Transfer for Localization and Navigational Tasks
Maxime Pietrantoni, Boris Chidlovskii, Tomi Silander
Autonomous navigation consists in an agent being able to navigate without human intervention or supervision, it affects both high level planning and low level control. Navigation i…
Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking
Leonid Antsfeld, Boris Chidlovskii, Emilio Sansano-Sansano
We address the indoor localization problem, where the goal is to predict user's trajectory from the data collected by their smartphone, using inertial sensors such as accelerometer…
Adversarial Transfer of Pose Estimation Regression
Boris Chidlovskii, Assem Sadek
We address the problem of camera pose estimation in visual localization. Current regression-based methods for pose estimation are trained and evaluated scene-wise. They depend on t…