no code implementations • 22 Oct 2021 • Song Yan, Jinyu Yang, Ales Leonardis, Joni-Kristian Kamarainen
There are two potential reasons for the heuristics: 1) the lack of large RGBD tracking datasets to train deep RGBD trackers and 2) the long-term evaluation protocol of VOT RGBD that benefits from heuristics such as depth-based occlusion detection.
1 code implementation • 17 Aug 2021 • Atakan Dag, Alexandre Angleraud, Wenyan Yang, Nataliya Strokina, Roel S. Pieters, Minna Lanz, Joni-Kristian Kamarainen
Our findings show that the training of a hybrid controller is easier and obtains a better success-failure trade-off than a monolithic controller.
1 code implementation • ICCV 2021 • Song Yan, Jinyu Yang, Jani Kapyla, Feng Zheng, Ales Leonardis, Joni-Kristian Kamarainen
This can be explained by the fact that there are no sufficiently large RGBD datasets to 1) train "deep depth trackers" and to 2) challenge RGB trackers with sequences for which the depth cue is essential.
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.
1 code implementation • 21 May 2018 • Wenyan Yang, Yanlin Qian, Francesco Cricri, Lixin Fan, Joni-Kristian Kamarainen
We introduced a high-resolution equirectangular panorama (360-degree, virtual reality) dataset for object detection and propose a multi-projection variant of YOLO detector.
no code implementations • ICCV 2017 • Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kamarainen, Jiri Matas
We introduce a novel formulation of temporal color constancy which considers multiple frames preceding the frame for which illumination is estimated.
no code implementations • 23 Aug 2017 • Anders Glent Buch, Dirk Kraft, Joni-Kristian Kamarainen, Henrik Gordon Petersen, Norbert Krüger
We address the problem of estimating the alignment pose between two models using structure-specific local descriptors.
no code implementations • 13 Jul 2016 • Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas
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 regression problem.
no code implementations • CVPR 2015 • Fatemeh Shokrollahi Yancheshmeh, Ke Chen, Joni-Kristian Kamarainen
In this work, we adopt the feature basedapproach, but to overcome the aforementioned drawbacks define visual similarity as an assignment problem which is solved by fast approximation and non-linear optimization. From pair-wise image similarities we construct an image graph which is used to step-wise align,``morph'', an image to another by graph traveling.