Olaf Hellwich
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View article: Towards Fully Automated Investigation of Social Learning in Mice
Towards Fully Automated Investigation of Social Learning in Mice Open
Mice have been demonstrated to learn from each other in social interactions, the extent to which this takes place and the strategies involved, however, largely remain to be elucidated beyond spatially and temporally confined tests of socia…
View article: Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes
Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes Open
Machine learning and computer vision methods have a major impact on the study of natural animal behavior, as they enable the (semi-)automatic analysis of vast amounts of video data. Mice are the standard mammalian model system in most rese…
View article: Sub-Pixel-Level Backscattering Contributions Decomposition and Estimation Based on Spectral Unmixing Techniques
Sub-Pixel-Level Backscattering Contributions Decomposition and Estimation Based on Spectral Unmixing Techniques Open
The complexity of land types and the limited spatial resolution of Synthetic Aperture Radar (SAR) imagery have led to the widespread presence of mixed pixels in radar backscatter images. The signal mixture of Endmembers within mixed pixels…
View article: An Automated Framework for Interaction Analysis of Driving Factors on Soil Salinization in Central Asia and Western China
An Automated Framework for Interaction Analysis of Driving Factors on Soil Salinization in Central Asia and Western China Open
Soil salinization is a global ecological and environmental problem, which is particularly serious in arid areas. The formation process of soil salinity is complex, and the interactive effects of natural causes and anthropogenic activities …
View article: Neural Dynamics of Mental State Attribution to Social Robot Faces
Neural Dynamics of Mental State Attribution to Social Robot Faces Open
The interplay of mind attribution and emotional responses is considered crucial in shaping human trust and acceptance of social robots. Understanding this interplay can help us create the right conditions for successful human-robot social …
View article: Tracking Mouse from Incomplete Body-Part Observations and Deep-Learned Deformable-Mouse Model Motion-Track Constraint for Behavior Analysis
Tracking Mouse from Incomplete Body-Part Observations and Deep-Learned Deformable-Mouse Model Motion-Track Constraint for Behavior Analysis Open
Tracking mouse body parts in video is often incomplete due to occlusions such that - e.g. - subsequent action and behavior analysis is impeded. In this conceptual work, videos from several perspectives are integrated via global exterior ca…
View article: Neural dynamics of mental state attribution to social robot faces
Neural dynamics of mental state attribution to social robot faces Open
The interplay of mind attribution and emotional responses is considered crucial in shaping human trust and acceptance of social robots. Understanding this interplay can help us create the right conditions for successful human–robot social …
View article: ‘No words’—Machine‐learning classified nonverbal immediacy and its role in connecting teacher self‐efficacy with perceived teaching and student interest
‘No words’—Machine‐learning classified nonverbal immediacy and its role in connecting teacher self‐efficacy with perceived teaching and student interest Open
Background Much is known about the positive effects of teachers' self‐efficacy on instruction and student outcomes, but the processes underlying these relations are unknown. Aims We aimed to examine the effects of teacher self‐efficacy for…
View article: MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications
MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications Open
Self-supervised monocular depth estimation (MDE) has gained popularity for obtaining depth predictions directly from videos. However, these methods often produce scale invariant results, unless additional training signals are provided. Add…
View article: Building an Integrative System: Enriching Gesture Language Video Recognition through the Multi-Stream of Hybrid and Improved Deep Learning Models with an Adaptive Decision System
Building an Integrative System: Enriching Gesture Language Video Recognition through the Multi-Stream of Hybrid and Improved Deep Learning Models with an Adaptive Decision System Open
The recognition of hand gestures is of growing importance in developing human-machine interfaces that rely on hand motions for communication. However, recognizing hand gesture motions poses challenges due to overlapping gestures from diffe…
View article: How Do You Perceive My Face? Recognizing Facial Expressions in Multi-Modal Context by Modeling Mental Representations
How Do You Perceive My Face? Recognizing Facial Expressions in Multi-Modal Context by Modeling Mental Representations Open
Facial expression perception in humans inherently relies on prior knowledge and contextual cues, contributing to efficient and flexible processing. For instance, multi-modal emotional context (such as voice color, affective text, body pose…
View article: Lockbox enrichment facilitates manipulative and cognitive activities for mice
Lockbox enrichment facilitates manipulative and cognitive activities for mice Open
Background Due to the lack of complexity and variety of stimuli, conventional housing conditions of laboratory mice do not allow these animals to fully express their behavioral repertoire, including manipulative and cognitive activities. T…
View article: ConDL: Detector-Free Dense Image Matching
ConDL: Detector-Free Dense Image Matching Open
In this work, we introduce a deep-learning framework designed for estimating dense image correspondences. Our fully convolutional model generates dense feature maps for images, where each pixel is associated with a descriptor that can be m…
View article: Mechanical problem solving in mice
Mechanical problem solving in mice Open
Behavioral learning is a complex phenomenon that involves cognitive, perceptual, motor and emotional contributions. Yet, most animal studies focus on reductionist tasks that aim to isolate one of these aspects [1, 2, 3, 4]. Here, we use a …
View article: An Embedded Neural Network Approach for Reinforcing Deep Learning: Advancing Hand Gesture Recognition
An Embedded Neural Network Approach for Reinforcing Deep Learning: Advancing Hand Gesture Recognition Open
Deep neural networks (DNNs) can face limitations during training for recognition, motivating this study to improve recognition capabilities by optimizing deep learning features for hand gesture image recognition. We propose a novel approac…
View article: Brain dynamics of mental state attribution during perception of social robot faces
Brain dynamics of mental state attribution during perception of social robot faces Open
The interplay of mind attribution and emotional responses is considered crucial in shaping human trust and acceptance of social robots. Understanding this interplay can help us create the right conditions for successful human-robot social …
View article: Neural Dynamics of Mental State Attribution to Social Robot Faces
Neural Dynamics of Mental State Attribution to Social Robot Faces Open
The interplay of mind attribution and emotional responses is considered crucial in shaping human trust and acceptance of social robots. Understanding this interplay can help us create the right conditions for successful human-robot social …
View article: Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition
Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition Open
International audience
View article: Lockbox enrichment facilitates manipulative and cognitive activities for mice
Lockbox enrichment facilitates manipulative and cognitive activities for mice Open
Background Due to the lack of complexity and variety of stimuli, conventional housing conditions of laboratory mice do not allow these animals to fully express their behavioral repertoire, including manipulative and cognitive activities. T…
View article: Modeling and Locating the Wind Erosion at the Dry Bottom of the Aral Sea Based on an InSAR Temporal Decorrelation Decomposition Model
Modeling and Locating the Wind Erosion at the Dry Bottom of the Aral Sea Based on an InSAR Temporal Decorrelation Decomposition Model Open
The dust originating from the extinct lake of the Aral Sea poses a considerable threat to the surrounding communities and ecosystems. The accurate location of these wind erosion areas is an essential prerequisite for controlling sand and d…
View article: Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition
Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition Open
Human communication is multi-modal; e.g., face-to-face interaction involves auditory signals (speech) and visual signals (face movements and hand gestures). Hence, it is essential to exploit multiple modalities when designing machine learn…
View article: Modeling and Locating the Wind Erosion at the Dry Bottom of the Aral Sea Based on an InSAR Temporal Decorrelation Decomposition Model
Modeling and Locating the Wind Erosion at the Dry Bottom of the Aral Sea Based on an InSAR Temporal Decorrelation Decomposition Model Open
The dust originating from the extinct lake of the Aral Sea poses a considerable threat to the sur-rounding communities and ecosystems. The accurate location of these wind erosion areas is an essential prerequisite for controlling sand and …
View article: Unmanned Aerial Systems for Building Footprint Extraction in Urban Area
Unmanned Aerial Systems for Building Footprint Extraction in Urban Area Open
The use of Unmanned Aerial Systems (UAS) in remote sensing applications, specifically using the Trimble UX5 HP platform for aerial data collection over Karakol city in Kyrgyzstan. Photogrammetric technique used to identify and match common…
View article: Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations
Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations Open
In the context of global warming, an increase in atmospheric aridity and global dryland expansion under the future climate has been expected in previous studies. However, this conflicts with observed greening over drylands and the insignif…
View article: Decomposer: Semi-supervised Learning of Image Restoration and Image Decomposition
Decomposer: Semi-supervised Learning of Image Restoration and Image Decomposition Open
We present Decomposer, a semi-supervised reconstruction model that decomposes distorted image sequences into their fundamental building blocks - the original image and the applied augmentations, i.e., shadow, light, and occlusions. To solv…
View article: Objects guide human gaze behavior in dynamic real-world scenes
Objects guide human gaze behavior in dynamic real-world scenes Open
The complexity of natural scenes makes it challenging to experimentally study the mechanisms behind human gaze behavior when viewing dynamic environments. Historically, eye movements were believed to be driven primarily by space-based atte…
View article: Surface deformation detection and attribution in the Mountain-Oasis-Desert Landscape in north Tianshan Mountains
Surface deformation detection and attribution in the Mountain-Oasis-Desert Landscape in north Tianshan Mountains Open
The Mountain-Oasis-Desert System (MODS) is the fundamental landscape component within the vast arid region of Central Asia. Human activities and natural processes cause surface displacement in the MODS, resulting in geoenvironmental issues…