research
∙
07/18/2023
Fusing Hand and Body Skeletons for Human Action Recognition in Assembly
As collaborative robots (cobots) continue to gain popularity in industri...
share
research
∙
06/09/2023
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks
As the use of collaborative robots (cobots) in industrial manufacturing ...
research
∙
06/08/2023
Efficient Multi-Task Scene Analysis with RGB-D Transformers
Scene analysis is essential for enabling autonomous systems, such as mob...
research
∙
04/17/2023
ATTACH Dataset: Annotated Two-Handed Assembly Actions for Human Action Understanding
With the emergence of collaborative robots (cobots), human-robot collabo...
research
∙
02/28/2023
A Little Bit Attention Is All You Need for Person Re-Identification
Person re-identification plays a key role in applications where a mobile...
research
∙
12/10/2022
Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning
Reinforcement Learning (RL) can enable agents to learn complex tasks. Ho...
research
∙
03/11/2022
Efficient and Robust Semantic Mapping for Indoor Environments
A key proficiency an autonomous mobile robot must have to perform high-l...
research
∙
12/22/2021
Few-Shot Object Detection: A Survey
Humans are able to learn to recognize new objects even from a few exampl...
research
∙
11/13/2020
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Analyzing scenes thoroughly is crucial for mobile robots acting in diffe...
research
∙
02/10/2020
StickyPillars: Robust feature matching on point clouds using Graph Neural Networks
StickyPillars introduces a sparse feature matching method on point cloud...
research
∙
04/16/2019
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
Accurate detection of 3D objects is a fundamental problem in computer vi...
research
∙
03/16/2018