641 citations · 3k across the 58 of their papers we have counts for
7 papers · 1 filter
The World of Fast Moving Objects
Denys Rozumnyi, Jan Kotera, Filip Sroubek +2
The notion of a Fast Moving Object (FMO), i.e. an object that moves over a distance exceeding its size within the exposure time, is introduced. FMOs may, and typically do, rotate w…
Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices
Janne Mustaniemi, Juho Kannala, Simo Särkkä +2
Structure from motion algorithms have an inherent limitation that the reconstruction can only be determined up to the unknown scale factor. Modern mobile devices are equipped with…
Discriminative Correlation Filter with Channel and Spatial Reliability
Alan Lukežič, Tomáš Vojíř, Luka Čehovin +2
Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance. We introduce the channel and spatial rel…
In the Saddle: Chasing Fast and Repeatable Features
Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum +1
A novel similarity-covariant feature detector that extracts points whose neighbourhoods, when treated as a 3D intensity surface, have a saddle-like intensity profile. The saddle co…
Deep Structured-Output Regression Learning for Computational Color Constancy
Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen +2
Computational color constancy that requires esti- mation of illuminant colors of images is a fundamental yet active problem in computer vision, which can be formulated into a regre…
Systematic evaluation of CNN advances on the ImageNet
Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas
The paper systematically studies the impact of a range of recent advances in CNN architectures and learning methods on the object categorization (ILSVRC) problem. The evalution tes…