Alina Roitberg
Orcid: 0000-0003-4724-9164Affiliations:
- University of Stuttgart, Germany
According to our database1,
Alina Roitberg
authored at least 59 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory.
Autom., September, 2024
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
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024
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
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
CoRR, 2023
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation.
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
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
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
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
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
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
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
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
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
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
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
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014