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04/29/2023
POET: A Self-learning Framework for PROFINET Industrial Operations Behaviour
Since 2010, multiple cyber incidents on industrial infrastructure, such ...
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03/24/2023
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
Deep neural networks for scene perception in automated vehicles achieve ...
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02/28/2023
Attention-based Point Cloud Edge Sampling
Point cloud sampling is a less explored research topic for this data rep...
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02/21/2023
Effects of Architectures on Continual Semantic Segmentation
Research in the field of Continual Semantic Segmentation is mainly inves...
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01/12/2023
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly
On robotics computer vision tasks, generating and annotating large amoun...
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01/11/2023
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning
In this paper, we develop a novel benchmark suite including both a 2D sy...
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01/11/2023
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
We present an improved approach for 3D object detection in point cloud d...
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01/11/2023
Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input
We propose a combined generative and contrastive neural architecture for...
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01/11/2023
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors
To enable automatic disassembly of different product types with uncertai...
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11/08/2022
Efficient Global Occupancy Mapping for Mobile Robots using OpenVDB
In this work we present a fast occupancy map building approach based on ...
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10/23/2022
Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation
Although human action anticipation is a task which is inherently multi-m...
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09/20/2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
Continual learning for Semantic Segmentation (CSS) is a rapidly emerging...
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09/16/2022
Continual Learning for Class- and Domain-Incremental Semantic Segmentation
The field of continual deep learning is an emerging field and a lot of p...
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09/16/2022
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation
Class-incremental learning for semantic segmentation (CiSS) is presently...
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09/06/2022
UPAR: Unified Pedestrian Attribute Recognition and Person Retrieval
Recognizing soft-biometric pedestrian attributes is essential in video s...
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05/26/2022
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic Segmentation
Robust environment perception for autonomous vehicles is a tremendous ch...
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05/03/2022
Bézier Curve Gaussian Processes
Probabilistic models for sequential data are the basis for a variety of ...
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06/15/2021
ReS2tAC – UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices
With the emergence of low-cost robotic systems, such as unmanned aerial ...
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04/10/2021
Do as we do: Multiple Person Video-To-Video Transfer
Our goal is to transfer the motion of real people from a source video to...
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07/16/2019
Human Pose Estimation for Real-World Crowded Scenarios
Human pose estimation has recently made significant progress with the ad...
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06/08/2018
A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification
Fine-grained vehicle classification is the task of classifying make, mod...
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10/30/2017
Open Set Logo Detection and Retrieval
Current logo retrieval research focuses on closed set scenarios. We argu...
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08/08/2017
Unconstrained Face Detection and Open-Set Face Recognition Challenge
Face detection and recognition benchmarks have shifted toward more diffi...
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09/14/2014