no code implementations • 15 Nov 2022 • Nikola Djukic, Alan Lukezic, Vitjan Zavrtanik, Matej Kristan
The standard few-shot pipeline follows extraction of appearance queries from exemplars and matching them with image features to infer the object counts.
Ranked #1 on Object Counting on FSC147
1 code implementation • 7 Oct 2022 • Alan Lukezic, Ziga Trojer, Jiri Matas, Matej Kristan
Visual object tracking has focused predominantly on opaque objects, while transparent object tracking received very little attention.
no code implementations • CVPR 2020 • Alan Lukezic, Jiri Matas, Matej Kristan
Template-based discriminative trackers are currently the dominant tracking paradigm due to their robustness, but are restricted to bounding box tracking and a limited range of transformation models, which reduces their localization accuracy.
no code implementations • ICCV 2019 • Alan Lukezic, Ugur Kart, Jani Kapyla, Ahmed Durmush, Joni-Kristian Kamarainen, Jiri Matas, Matej Kristan
Experiments with RGB and RGB-D trackers show that CDTB is more challenging than previous datasets.
no code implementations • CVPR 2019 • Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas
Standard RGB-D trackers treat the target as an inherently 2D structure, which makes modelling appearance changes related even to simple out-of-plane rotation highly challenging.