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09/21/2023
Unveiling the Hidden Realm: Self-supervised Skeleton-based Action Recognition in Occluded Environments
To integrate action recognition methods into autonomous robotic systems,...
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09/21/2023
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision
Self-supervised representation learning for human action recognition has...
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07/31/2023
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars
For driver observation frameworks, clean datasets collected in controlle...
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07/05/2023
Line Graphics Digitization: A Step Towards Full Automation
The digitization of documents allows for wider accessibility and reprodu...
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05/15/2023
FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition
Domain adaptation is essential for activity recognition, as common spati...
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05/07/2023
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation
Interactive Image Segmentation (IIS) has emerged as a promising techniqu...
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03/24/2023
FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation
This paper raises the new task of Fisheye Semantic Completion (FSC), whe...
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03/02/2023
MuscleMap: Towards Video-based Activated Muscle Group Estimation
In this paper, we tackle the new task of video-based Activated Muscle Gr...
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08/19/2022
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization
Modality selection is an important step when designing multimodal system...
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08/03/2022
Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living
Domain shifts, such as appearance changes, are a key challenge in real-w...
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07/13/2022
Multi-modal Depression Estimation based on Sub-attentional Fusion
Failure to timely diagnose and effectively treat depression leads to ove...
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04/10/2022
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding
Visual recognition inside the vehicle cabin leads to safer driving and m...
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04/10/2022
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates
Driver observation models are rarely deployed under perfect conditions. ...
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03/19/2022
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning
Autonomous vehicles utilize urban scene segmentation to understand the r...
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03/02/2022
TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration
Traditional video-based human activity recognition has experienced remar...
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02/23/2022
ProFormer: Learning Data-efficient Representations of Body Movement with Prototype-based Feature Augmentation and Visual Transformers
Automatically understanding human behaviour allows household robots to i...
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02/01/2022
Should I take a walk? Estimating Energy Expenditure from Video Data
We explore the problem of automatically inferring the amount of kilocalo...
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11/30/2021
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning
Human affect recognition is a well-established research area with numero...
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10/21/2021
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation
Autonomous vehicles clearly benefit from the expanded Field of View (FoV...
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08/13/2021
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange
Intelligent vehicles clearly benefit from the expanded Field of View (Fo...
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07/12/2021
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games
Recognizing Activities of Daily Living (ADL) is a vital process for inte...
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07/01/2021
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding
At the heart of all automated driving systems is the ability to sense th...
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01/02/2021
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models
Beyond assigning the correct class, an activity recognition model should...
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11/02/2020
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
A rapidly growing amount of content posted online, such as food recipes,...
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10/30/2018
