73 citations · 94 across the 15 of their papers we have counts for
19 papers
PlaceNav: Topological Navigation through Place Recognition
Lauri Suomela, Jussi Kalliola, Harry Edelman +1
Recent results suggest that splitting topological navigation into robot-independent and robot-specific components improves navigation performance by enabling the robot-independent…
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation
Wenyan Yang, Alexandre Angleraud, Roel S. Pieters +2
Robot control for tactile feedback-based manipulation can be difficult due to the modeling of physical contacts, partial observability of the environment, and noise in perception a…
Prioritized offline Goal-swapping Experience Replay
Wenyan Yang, Joni Pajarinen, Dinging Cai +1
In goal-conditioned offline reinforcement learning, an agent learns from previously collected data to go to an arbitrary goal. Since the offline data only contains a finite number…
Swapped goal-conditioned offline reinforcement learning
Wenyan Yang, Huiling Wang, Dingding Cai +2
Offline goal-conditioned reinforcement learning (GCRL) can be challenging due to overfitting to the given dataset. To generalize agents' skills outside the given dataset, we propos…
Benchmarking Visual Localization for Autonomous Navigation
Lauri Suomela, Jussi Kalliola, Atakan Dag +2
This work introduces a simulator-based benchmark for visual localization in the autonomous navigation context. The dynamic benchmark enables investigation of how variables such as…
Depth-only Object Tracking
Song Yan, Jinyu Yang, Ales Leonardis +1
Depth (D) indicates occlusion and is less sensitive to illumination changes, which make depth attractive modality for Visual Object Tracking (VOT). Depth is used in RGBD object tra…
DepthTrack : Unveiling the Power of RGBD Tracking
Song Yan, Jinyu Yang, Jani Käpylä +3
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 extens…
Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning
Atakan Dag, Alexandre Angleraud, Wenyan Yang +4
Simulation to real (Sim-to-Real) is an attractive approach to construct controllers for robotic tasks that are easier to simulate than to analytically solve. Working Sim-to-Real so…
Anthropometric clothing measurements from 3D body scans
Song Yan, Johan Wirta, Joni-Kristian Kämäräinen
We propose a full processing pipeline to acquire anthropometric measurements from 3D measurements. The first stage of our pipeline is a commercial point cloud scanner. In the secon…
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
Alan Lukežič, Ugur Kart, Jani Käpylä +4
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed. Performance measures are designed by following a long-term tracking definition t…
Flash Lightens Gray Pixels
Yanlin Qian, Song Yan, Joni-Kristian Kämäräinen +1
In the real world, a scene is usually cast by multiple illuminants and herein we address the problem of spatial illumination estimation. Our solution is based on detecting gray pix…
On Finding Gray Pixels
Yanlin Qian, Joni-Kristian Kämäräinen, Jarno Nikkanen +1
We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness and efficiency in illumination estimation. The grayness index, GI in short, is derived u…
Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters
Ugur Kart, Alan Lukezic, Matej Kristan +2
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. We…
Performance Analysis and Robustification of Single-query 6-DoF Camera Pose Estimation
Junsheng Fu, Said Pertuz, Jiri Matas +1
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 re…
Revisiting Gray Pixel for Statistical Illumination Estimation
Yanlin Qian, Said Pertuz, Jarno Nikkanen +2
We present a statistical color constancy method that relies on novel gray pixel detection and mean shift clustering. The method, called Mean Shifted Grey Pixel -- MSGP, is based on…
Depth Masked Discriminative Correlation Filter
Uğur Kart, Joni-Kristian Kämäräinen, Jiří Matas +2
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 benchma…
Pose Estimation using Local Structure-Specific Shape and Appearance Context
Anders Glent Buch, Dirk Kraft, Joni-Kristian Kamarainen +2
We address the problem of estimating the alignment pose between two models using structure-specific local descriptors. Our descriptors are generated using a combination of 2D image…
Convolutional Low-Resolution Fine-Grained Classification
Dingding Cai, Ke Chen, Yanlin Qian +1
Successful fine-grained image classification methods learn subtle details between visually similar (sub-)classes, but the problem becomes significantly more challenging if the deta…
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…