no code implementations • 29 Sep 2023 • Lauri Suomela, Jussi Kalliola, Harry Edelman, Joni-Kristian Kämäräinen
Recent results suggest that splitting topological navigation into robot-independent and robot-specific components improves navigation performance by enabling the robot-independent part to be trained with data collected by robots of different types.
1 code implementation • 16 Mar 2023 • German F. Torres, Joni-Kristian Kämäräinen
The (forward) model produces realistic motion blur from a single image, depth map, and camera trajectory.
1 code implementation • 26 Mar 2022 • Jinyu Yang, Zhe Li, Song Yan, Feng Zheng, Aleš Leonardis, Joni-Kristian Kämäräinen, Ling Shao
Particularly, we are the first to provide depth quality evaluation and analysis of tracking results in depth-friendly scenarios in RGBD tracking.
1 code implementation • 24 Mar 2022 • Lauri Suomela, Jussi Kalliola, Atakan Dag, Harry Edelman, Joni-Kristian Kämäräinen
The experimental part of the paper studies the effects of four such variables by evaluating state-of-the-art visual localization methods as part of the motion planning module of an autonomous navigation stack.
no code implementations • 24 Jan 2022 • Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen
Hierarchical reinforcement learning (HRL) proposes to solve difficult tasks by performing decision-making and control at successively higher levels of temporal abstraction.
1 code implementation • 31 Aug 2021 • Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Aleš Leonardis, Joni-Kristian Kämäräinen
RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensors have become popular in many application fields such as robotics. However, the best RGBD trackers are extensions of the state-of-the-art deep RGB trackers.
no code implementations • 23 Mar 2021 • Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen
We have recently proposed two pile loading controllers that learn from human demonstrations: a neural network (NNet) [1] and a random forest (RF) controller [2].
no code implementations • 7 Jan 2021 • Song Yan, Joni-Kristian Kämäräinen
To circumvent the data bottleneck, we introduce a new 3D scan dataset of 2, 675 female and 1, 474 male scans.
no code implementations • 9 Nov 2020 • Yanlin Qian, Miaojing Shi, Joni-Kristian Kämäräinen, Jiri Matas
We address the problem of decomposing an image into albedo and shading.
3 code implementations • 8 Mar 2020 • Yanlin Qian, Jani Käpylä, Joni-Kristian Kämäräinen, Samu Koskinen, Jiri Matas
The conventional approach is to use a single frame - shot frame - to estimate the scene illumination color.
no code implementations • 2 Dec 2019 • Yanlin Qian, Alan Lukežič, Matej Kristan, Joni-Kristian Kämäräinen, Jiri Matas
In this work, we propose a deep depth-aware long-term tracker that achieves state-of-the-art RGBD tracking performance and is fast to run.
no code implementations • 2 Nov 2019 • Song Yan, Johan Wirta, Joni-Kristian Kämäräinen
In the second stage, a pre-defined body model is fitted to the captured point cloud.
no code implementations • 1 Jul 2019 • Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas, Matej Kristan
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed.
no code implementations • 6 Jun 2019 • Antti Hietanen, Jyrki Latokartano, Alessandro Foi, Roel Pieters, Ville Kyrki, Minna Lanz, Joni-Kristian Kämäräinen
The evaluation metric is based on non-parametric probability density that is estimated from samples of a real physical setup.
no code implementations • 27 Feb 2019 • Yanlin Qian, Song Yan, Joni-Kristian Kämäräinen, Jiri Matas
In the real world, a scene is usually cast by multiple illuminants and herein we address the problem of spatial illumination estimation.
2 code implementations • CVPR 2019 • Yanlin Qian, Joni-Kristian Kämäräinen, Jarno Nikkanen, Jiri Matas
We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness and efficiency in illumination estimation.
no code implementations • 17 Aug 2018 • Junsheng Fu, Said Pertuz, Jiri Matas, Joni-Kristian Kämäräinen
We consider a single-query 6-DoF camera pose estimation with reference images and a point cloud, i. e. the problem of estimating the position and orientation of a camera by using reference images and a point cloud.
1 code implementation • 22 Mar 2018 • Yanlin Qian, Said Pertuz, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas
We present a statistical color constancy method that relies on novel gray pixel detection and mean shift clustering.
no code implementations • 26 Feb 2018 • Uğur Kart, Joni-Kristian Kämäräinen, Jiří Matas, Lixin Fan, Francesco Cricri
Depth information provides a strong cue for occlusion detection and handling, but has been largely omitted in generic object tracking until recently due to lack of suitable benchmark datasets and applications.
no code implementations • 15 Mar 2017 • Dingding Cai, Ke Chen, Yanlin Qian, Joni-Kristian Kämäräinen
Successful fine-grained image classification methods learn subtle details between visually similar (sub-)classes, but the problem becomes significantly more challenging if the details are missing due to low resolution.