Alina Roitberg

Orcid: 0000-0003-4724-9164

Affiliations:
  • University of Stuttgart, Germany


According to our database1, Alina Roitberg authored at least 59 papers between 2014 and 2024.

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Bibliography

2024
Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory.
Autom., September, 2024

Managing uncertainty in product and process design for the circular factory.
Autom., September, 2024

Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints.
CoRR, 2024

Probing Fine-Grained Action Understanding and Cross-View Generalization of Foundation Models.
CoRR, 2024

Referring Atomic Video Action Recognition.
CoRR, 2024

Skeleton-Based Human Action Recognition with Noisy Labels.
CoRR, 2024

Towards Video-based Activated Muscle Group Estimation in the Wild.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Chart4Blind: An Intelligent Interface for Chart Accessibility Conversion.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision.
Proceedings of the IEEE International Conference on Acoustics, 2024

Navigating Open Set Scenarios for Skeleton-Based Action Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Delving Deep Into One-Shot Skeleton-Based Action Recognition With Diverse Occlusions.
IEEE Trans. Multim., 2023

Unveiling the Hidden Realm: Self-supervised Skeleton-based Action Recognition in Occluded Environments.
CoRR, 2023

Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation.
CoRR, 2023

FeatFSDA: Towards Few-shot Domain Adaptation for Video-based Activity Recognition.
CoRR, 2023

AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation.
CoRR, 2023

MuscleMap: Towards Video-based Activated Muscle Group Estimation.
CoRR, 2023

On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments.
IROS, 2023

Line Graphics Digitization: A Step Towards Full Automation.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Is My Driver Observation Model Overconfident? Input-Guided Calibration Networks for Reliable and Interpretable Confidence Estimates.
IEEE Trans. Intell. Transp. Syst., 2022

MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding.
IEEE Trans. Intell. Transp. Syst., 2022

Transfer Beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation.
IEEE Trans. Intell. Transp. Syst., 2022

ProFormer: Learning Data-efficient Representations of Body Movement with Prototype-based Feature Augmentation and Visual Transformers.
CoRR, 2022

Erfassung und Interpretation menschlicher Handlungen für die Programmierung von Robotern in der Produktion.
Autom., 2022

A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multi-modal Depression Estimation Based on Sub-attentional Fusion.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Pose-based Contrastive Learning for Domain Agnostic Activity Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Should I take a walk? Estimating Energy Expenditure from Video Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Uncertainty-aware Models for Deep Learning-based Human Activity Recognition and Applications in Intelligent Vehicles.
PhD thesis, 2021

From Driver Talk To Future Action: Vehicle Maneuver Prediction by Learning from Driving Exam Dialogs.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020
Open Set Driver Activity Recognition.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Deep Classification-driven Domain Adaptation for Cross-Modal Driver Behavior Recognition.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

CNN-based Driver Activity Understanding: Shedding Light on Deep Spatiotemporal Representations.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Uncertainty-sensitive Activity Recognition: A Reliability Benchmark and the CARING Models.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Activity-aware Attributes for Zero-Shot Driver Behavior Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
End-to-end Prediction of Driver Intention using 3D Convolutional Neural Networks.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

WiSe - Slide Segmentation in the Wild.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Learning Fine-Grained Image Representations for Mathematical Expression Recognition.
Proceedings of the 13th IAPR International Workshop on Graphics Recognition, 2019

Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Analysis of Deep Fusion Strategies for Multi-Modal Gesture Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Estimating mental load in passive and active tasks from pupil and gaze changes using bayesian surprise.
Proceedings of the Workshop on Modeling Cognitive Processes from Multimodal Data, 2018

Towards a Fair Evaluation of Zero-Shot Action Recognition Using External Data.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Informed Democracy: Voting-based Novelty Detection for Action Recognition.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform.
Frontiers Neurorobotics, 2017

Using Technology Developed for Autonomous Cars to Help Navigate Blind People.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Improved Skeleton Estimation by Means of Depth Data Fusion from Multiple Depth Cameras.
Proceedings of the Intelligent Autonomous Systems 14, 2016

2015
Multimodal Human Activity Recognition for Industrial Manufacturing Processes in Robotic Workcells.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

2014
Human activity recognition in the context of industrial human-robot interaction.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014


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