Publications

For a complete and up-to-date publication list, check my Google Scholar profile.

    • CONF PROC Frame2Freq: Spectral Adapters for Fine-Grained Video Understanding. T. Thiyakesan Ponbagavathi, C. Seibold, A. Roitberg. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 (accepted). [pdf and coming soon]
    • CONF PROC Order Matters: On Parameter-Efficient Image-to-Video Probing for Recognizing Nearly Symmetric Actions.
      T. Thiyakesan Ponbagavathi, A. Roitberg.
      IEEE International Conference on Robotics and Automation (ICRA), 2026 (accepted). [pdf] [code coming soon]
    • JOURNAL Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization.
      K. Peng, D. Wen, M. Saquib Sarfraz, Y. Chen, J. Zheng, D. Schneider, K. Yang, J. Wu, A. Roitberg, R. Stiefelhagen.
      International Journal of Computer Vision (IJCV), 2026. [pdf] [code]
    • CONF PROC When Surgery Meets the Unknown: Uncertainty-Aware Open-Set Recognition for Surgery Phase Classification.
      S. Geyer, V. Kalogeiton, A. Roitberg.
      International Conference on Computer Vision Theory and Applications (VISAPP), 2026 (accepted). [pdf & code coming soon]
    • CONF PROC PDNet: Exploring Pruning and Distillation for Real-Time Worker Activity Recognition in Industrial Assembly.
      M. Baba, T. Thiyakesan Ponbagavathi, A. Roitberg.
      Conference paper, 2026. (based on a master’s thesis) [pdf & code coming soon]
    • CONF PROC T-MASK: Temporal Masking for Probing Foundation Models across Camera Views in Driver Monitoring.
      T. Thiyakesan Ponbagavathi, K. Peng, A. Roitberg.
      IEEE Intelligent Transportation Systems Conference (ITSC), Naples, Italy, 2025. 🏆 Best Student Paper Award Finalist (Top 5). [pdf] [code coming soon]
    • WORKSHOP PROC Deep Learning for Metabolic Rate Estimation from Biosignals: A Comparative Study of Architectures and Signal Selection.
      S. Babakhani, C. David Remy, A. Roitberg.
      BMVC 2025 Workshop on Multisensory Intelligence for Human Perception, 2025. [pdf] [code]
    • CONF PROC Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments.
      Y. Chen, K. Peng, A. Roitberg, D. Schneider, J. Zhang, J. Zheng, Y. Chen, R. Liu, K. Yang, R. Stiefelhagen.
      International Joint Conference on Neural Networks (IJCNN), 2025. [pdf] [code]
    • CONF PROC Towards Human-Understandable Visual Recognition for Nonexperts in Industrial Inspection: A Case Study for Car Manufacturing Lines.
      S. Sardari, F. Fernandes, J. M. Araya-Martinez, J. A. Zak, A. Roitberg.
      2025 IEEE 21st International Conference on Automation Science and Engineering (CASE), 2025, pp. 279–285. IEEE. [IEEE link]
    • CONF PROC AttentionLeak: What Does Human Attention Reveal About Information Visualisation?
      M. Sönnichsen, M. Elfares, Y. Wang, R. Küsters, A. Roitberg, A. Bulling.
      International Conference on Document Analysis and Recognition (ICDAR), 2025, pp. 77–95. Cham: Springer Nature Switzerland. [pdf]
    • CONF PROC Building Foundation Models - Potentials, Challenges and Research Directions for Using LLM and LVM in AEC.
      J. Ploennigs, M. Berger, T. Wortmann, J. Kirchner, J. Beetz, A. Roitberg, K. Menzel, B. Ommer.
      Proceedings of the 2025 European Conference on Computing in Construction (ECÂł), Porto, Portugal, 2025. [pdf]
    • CONF PROC Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler.
      K. Peng, D. Wen, K. Yang, A. Luo, Y. Chen, J. Fu, M. S. Sarfraz, A. Roitberg, R. Stiefelhagen.
      Conference on Neural Information Processing Systems (NeurIPS), 2024. [pdf] [code]
    • CONF PROC Referring Atomic Video Action Recognition.
      K. Peng, J. Fu, K. Yang, D. Wen, Y. Chen, R. Liu, J. Zheng, J. Zhang, M. S. Sarfraz, R. Stiefelhagen, A. Roitberg.
      European Conference on Computer Vision (ECCV), Milan, Italy, 2024 . [pdf] [data+code]
    • CONF PROC Skeleton-Based Human Action Recognition with Noisy Labels.
      Y. Xu, K. Peng, D. Wen, R. Liu, J. Zheng, Y. Chen, J. Zhang, A. Roitberg, K. Yang, R. Stiefelhagen.
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024. [pdf] [code]
    • CONF PROC SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data.
      D. Schneider, M. Keller, Z. Zhong, K. Peng, A. Roitberg, J. Beyerer, R. Stiefelhagen.
      IEEE International Conference onRobotics and Automation (ICRA), Yokohama, Japan, May 2024.
    • CONF PROC Chart4blind: An intelligent interface for chart accessibility conversion.
      O. Moured, M. Baumgarten-Egemole, K. MĂĽller, A. Roitberg, T. Schwarz, R. Stiefelhagen.
      Proceedings of the 29th International Conference on Intelligent User Interfaces, March 2024, pp. 504-514.
    • JOURNAL TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation.
      R. Liu, K. Yang, A. Roitberg, J. Zhang, K. Peng, H. Liu, Y. Wang, R. Stiefelhagen.
      IEEE Transactions on Intelligent Transportation Systems, 2024. [pdf] [code]
    • BOOK CHAPTER Bildbasierte BaufortschrittsĂĽberwachung.
      M. Koulakis, A. Albrecht, M. Wagner, A. Richter, F. Andres, A. Roitberg, J. Petereit, R. Stiefelhagen.
      Künstliche Intelligenz im Bauwesen: Grundlagen und Anwendungsfälle, May 10, 2024, pp. 205–219. Wiesbaden: Springer Fachmedien Wiesbaden. (book chapter) [DOI]
    • CONF PROC Navigating Open Set Scenarios for Skeleton-based Action Recognition.
      K. Peng, C. Yin, J. Zheng, R. Liu, D. Schneider, J. Zhang, K. Yang, M. S. Sarfraz, R. Stiefelhagen, A. Roitberg.
      AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024. [pdf] [data+code]
    • CONF PROC Elevating Skeleton-based Action Recognition with Efficient Multi-modality Self-supervision.
      Y. Wei, K. Peng, A. Roitberg, J. Zhang, J. Zheng, R. Liu, Y. Chen, K. Yang, R. Stiefelhagen.
      IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, April 2024. [pdf] [code]
    • JOURNAL Managing uncertainty in product and process design for the circular factory.
      M. Heizmann, J. Beyerer, S. Dietrich, L. Hoffmann, J.-P. Kaiser, G. Lanza, A. Roitberg, R. Stiefelhagen, N. Stricker, H. Wexel, F. Zanger.
      Automatisierungstechnik, 72(9): 829–843, 2024. [doi]
    • JOURNAL Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory.
      M. Zaremski, B. Handwerker, C. R. G. Dreher, F. Leven, D. Schneider, A. Roitberg, R. Stiefelhagen, G. Neumann, M. Heizmann, T. Asfour, B. Deml.
      Automatisierungstechnik, 72(9): 844–860, 2024. [doi]
    • CONF PROC Towards Video-based Activated Muscle Group Estimation in the Wild.
      K. Peng, D. Schneider, A. Roitberg, K. Yang, J. Zhang, C. Deng, K. Zhang, M. Saquib Sarfraz, R. Stiefelhagen.
      ACM Multimedia (ACM MM), 2024, pp. 4495–4504. [pdf] [code]
    • CONF PROC Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments.
      C. Tanama, K. Peng, Z. Marinov, R. Stiefelhagen, A. Roitberg.
      IEEE International Conference on Intelligent Robots and Systems (IROS), 2023. [pdf] [code]
    • JOURNAL Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse Occlusions.
      K. Peng, A. Roitberg, K. Yang, J. Zhang, R. Stiefelhagen.
      IEEE Transactions on Multimedia (TMM), 2023. [pdf] [code]
    • CONF PROC Line Graphics Digitization: A Step Towards Full Automation.
      O. Moured, J. Zhang, A. Roitberg, T. Schwarz, R. Stiefelhagen.
      International Conference on Document Analysis and Recognition (ICDAR), 2023. Cham: Springer Nature Switzerland. [pdf] [code]
    • JOURNAL Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation.
      H. Xiao, K. Peng, X. Huang, A. Roitberg, H. Li, Z. Wang, R. Stiefelhagen.
      IEEE Sensors Journal, 2023. [pdf] [code]
    • CONF PROC On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars.
      W. Morales-Alvarez*, N. Certad*, A. Roitberg*, R. Stiefelhagen, C. Olaverri-Monreal.
      IEEE Conference on Intelligent Transportation Systems (ITSC), 2023. [pdf] (* denotes equal contribution)
    • WORKSHOP PROC FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation.
      H. Shi, Y. Li, K. Yang, J. Zhang, K. Peng, A. Roitberg, Y. Ye, H. Ni, K. Wang, R. Stiefelhagen.
      CVPR Workshops (OmniCV), 2023, pp. 6434–6444. [pdf] [code]
    • CONF PROC Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Daily Living Activities.
      Z. Marinov*, A. Roitberg*, D. Schneider*, R. Stiefelhagen.
      IEEE International Conference on Intelligent Robots and Systems (IROS), 2022. [pdf] (* denotes equal contribution)
    • CONF PROC TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration.
      K. Peng, A. Roitberg, K. Yang, J. Zhang, R. Stiefelhagen.
      IEEE International Conference on Intelligent Robots and Systems (IROS), 2022. [pdf] [code]
    • WORKSHOP PROC Multi-modal Depression Estimation based on Sub-attentional Fusion.
      P.-C. Wei, K. Peng, A. Roitberg, K. Yang, J. Zhang, R. Stiefelhagen.
      International Workshop on Assistive Computer Vision and Robotics (ACVR) with European Conference on Computer Vision (ECCV), 2022.
    • JOURNAL Is my Model Overconfident? Uncertainty-aware Driver Observation with Reliable and Interpretable Confidence Estimates.
      A. Roitberg, K. Peng, D. Schneider, M. Koulakis, K. Yang, M. Martinez, R. Stiefelhagen.
      IEEE Transactions on Intelligent Transportation Systems, 2022. [pdf]
    • CONF PROC Pose-based Contrastive Learning for Domain Agnostic Activity Representations.
      D. Schneider, S. Sarfraz, A. Roitberg, R. Stiefelhagen.
      Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022.
    • WORKSHOP PROC Should I take a walk? Estimating Energy Expenditure from Video Data.
      K. Peng*, A. Roitberg*, K. Yang, J. Zhang, R. Stiefelhagen.
      CVPR Workshop on Computer Vision for Physiological Measurement, June 2022. [pdf] [code] (* denotes equal contribution)
    • JOURNAL MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding.
      K. Peng, J. Fei, K. Yang, A. Roitberg, J. Zhang, F. Bieder, P. Heidenreich, C. Stiller, R. Stiefelhagen.
      IEEE Transactions on Intelligent Transportation Systems, 2022. [pdf] [code]
    • JOURNAL Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation.
      J. Zhang, C. Ma, K. Yang, A. Roitberg, K. Peng, R. Stiefelhagen.
      IEEE Transactions on Intelligent Transportation Systems, 2022. [pdf] [data]
    • CONF PROC Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning.
      K. Peng, A. Roitberg, D. Schneider, M. Koulakis, K. Yang, R. Stiefelhagen.
      International Conference on Automatic Face and Gesture Recognition, December 2021.
    • CONF PROC Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games.
      A. Roitberg*, D. Schneider*, A. Djamal, C. Seibold, S. ReiĂź, R. Stiefelhagen.
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 2021. [pdf] [website] (* denotes equal contribution)
    • CONF PROC From Driver Talk To Future Action: Vehicle Maneuver Prediction by Learning from Driving Exam Dialogs.
      A. Roitberg, S. ReiĂź, R. Stiefelhagen.
      IEEE Intelligent Vehicles Symposium, Nagoya, Japan (virtual), July 2021. [pdf]
    • CONF PROC DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange.
      C. Ma, J. Zhang, K. Yang, A. Roitberg, K. Peng, R. Stiefelhagen.
      IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021. [pdf] [website]
    • THESIS Uncertainty-aware Models for Deep Learning-based Human Activity Recognition and Applications in Intelligent Vehicles.
      A. Roitberg.
      PhD Dissertation, April 2021. [pdf]
    • CONF PROC Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models.
      A. Roitberg, M. Haurilet, M. Martinez, R. Stiefelhagen.
      International Conference on Pattern Recognition (ICPR), January 2021, oral (<10% acceptance rate for orals). [pdf]
    • CONF PROC Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information.
      R. Ruede, V. Heusser, L. Frank, A. Roitberg, M. Haurilet, R. Stiefelhagen.
      International Conference on Pattern Recognition (ICPR), January 2021. [pdf] [press article]
    • CONF PROC Order Matters: On Parameter-Efficient Image-to-Video Probing for Recognizing Nearly Symmetric Actions.
      T. Thiyakesan Ponbagavathi, A. Roitberg.
      IEEE International Conference on Robotics and Automation (ICRA), 2026 (accepted). [pdf] [code coming soon]
    • JOURNAL Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization.
      K. Peng, D. Wen, M. Saquib Sarfraz, Y. Chen, J. Zheng, D. Schneider, K. Yang, J. Wu, A. Roitberg, R. Stiefelhagen.
      International Journal of Computer Vision (IJCV), 2026. [pdf] [code]
    • CONF PROC When Surgery Meets the Unknown: Uncertainty-Aware Open-Set Recognition for Surgery Phase Classification.
      S. Geyer, V. Kalogeiton, A. Roitberg.
      International Conference on Computer Vision Theory and Applications (VISAPP), 2026 (accepted). [pdf & code coming soon]
    • CONF PROC PDNet: Exploring Pruning and Distillation for Real-Time Worker Activity Recognition in Industrial Assembly.
      M. Baba, T. Thiyakesan Ponbagavathi, A. Roitberg.
      Conference paper, 2026 (accepted). (based on a master’s thesis) [pdf & code coming soon]
    • CONF PROC T-MASK: Temporal Masking for Probing Foundation Models across Camera Views in Driver Monitoring.
      T. Thiyakesan Ponbagavathi, K. Peng, A. Roitberg.
      IEEE Intelligent Transportation Systems Conference (ITSC), Naples, Italy, 2025. 🏆 Best Student Paper Award Finalist (Top 5). [pdf] [code coming soon]
    • WORKSHOP PROC Deep Learning for Metabolic Rate Estimation from Biosignals: A Comparative Study of Architectures and Signal Selection.
      S. Babakhani, C. David Remy, A. Roitberg.
      BMVC 2025 Workshop on Multisensory Intelligence for Human Perception, 2025. [pdf] [code]
    • CONF PROC Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments.
      Y. Chen, K. Peng, A. Roitberg, D. Schneider, J. Zhang, J. Zheng, Y. Chen, R. Liu, K. Yang, R. Stiefelhagen.
      International Joint Conference on Neural Networks (IJCNN), 2025. [pdf] [code]
    • CONF PROC Towards Human-Understandable Visual Recognition for Nonexperts in Industrial Inspection: A Case Study for Car Manufacturing Lines.
      S. Sardari, F. Fernandes, J. M. Araya-Martinez, J. A. Zak, A. Roitberg.
      2025 IEEE 21st International Conference on Automation Science and Engineering (CASE), 2025, pp. 279–285. IEEE. [IEEE link]
    • CONF PROC AttentionLeak: What Does Human Attention Reveal About Information Visualisation?
      M. Sönnichsen, M. Elfares, Y. Wang, R. Küsters, A. Roitberg, A. Bulling.
      International Conference on Document Analysis and Recognition (ICDAR), 2025, pp. 77–95. Cham: Springer Nature Switzerland. [pdf]
    • CONF PROC Building Foundation Models - Potentials, Challenges and Research Directions for Using LLM and LVM in AEC.
      J. Ploennigs, M. Berger, T. Wortmann, J. Kirchner, J. Beetz, A. Roitberg, K. Menzel, B. Ommer.
      Proceedings of the 2025 European Conference on Computing in Construction (ECÂł), Porto, Portugal, 2025. [pdf]
    • CONF PROC Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler.
      K. Peng, D. Wen, K. Yang, A. Luo, Y. Chen, J. Fu, M. S. Sarfraz, A. Roitberg, R. Stiefelhagen.
      Conference on Neural Information Processing Systems (NeurIPS), 2024. [pdf] [code]
    • CONF PROC Referring Atomic Video Action Recognition.
      K. Peng, J. Fu, K. Yang, D. Wen, Y. Chen, R. Liu, J. Zheng, J. Zhang, M. S. Sarfraz, R. Stiefelhagen, A. Roitberg.
      European Conference on Computer Vision (ECCV), Milan, Italy, 2024. [pdf] [data+code]
    • CONF PROC Skeleton-Based Human Action Recognition with Noisy Labels.
      Y. Xu, K. Peng, D. Wen, R. Liu, J. Zheng, Y. Chen, J. Zhang, A. Roitberg, K. Yang, R. Stiefelhagen.
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024. [pdf] [code]
    • CONF PROC SynthAct: Towards Generalizable Human Action Recognition based on Synthetic Data.
      D. Schneider, M. Keller, Z. Zhong, K. Peng, A. Roitberg, J. Beyerer, R. Stiefelhagen.
      IEEE International Conference onRobotics and Automation (ICRA), Yokohama, Japan, May 2024.
    • CONF PROC Chart4blind: An intelligent interface for chart accessibility conversion.
      O. Moured, M. Baumgarten-Egemole, K. MĂĽller, A. Roitberg, T. Schwarz, R. Stiefelhagen.
      Proceedings of the 29th International Conference on Intelligent User Interfaces, March 2024, pp. 504-514.
    • JOURNAL TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation.
      R. Liu, K. Yang, A. Roitberg, J. Zhang, K. Peng, H. Liu, Y. Wang, R. Stiefelhagen.
      IEEE Transactions on Intelligent Transportation Systems, 2024. [pdf] [code]
    • BOOK CHAPTER Bildbasierte BaufortschrittsĂĽberwachung.
      M. Koulakis, A. Albrecht, M. Wagner, A. Richter, F. Andres, A. Roitberg, J. Petereit, R. Stiefelhagen.
      Künstliche Intelligenz im Bauwesen: Grundlagen und Anwendungsfälle, May 10, 2024, pp. 205–219. Wiesbaden: Springer Fachmedien Wiesbaden. (book chapter) [DOI]
    • CONF PROC Navigating Open Set Scenarios for Skeleton-based Action Recognition.
      K. Peng, C. Yin, J. Zheng, R. Liu, D. Schneider, J. Zhang, K. Yang, M. S. Sarfraz, R. Stiefelhagen, A. Roitberg.
      AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024. [pdf] [data+code]
    • CONF PROC Elevating Skeleton-based Action Recognition with Efficient Multi-modality Self-supervision.
      Y. Wei, K. Peng, A. Roitberg, J. Zhang, J. Zheng, R. Liu, Y. Chen, K. Yang, R. Stiefelhagen.
      IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, April 2024. [pdf] [code]
    • JOURNAL Managing uncertainty in product and process design for the circular factory.
      M. Heizmann, J. Beyerer, S. Dietrich, L. Hoffmann, J.-P. Kaiser, G. Lanza, A. Roitberg, R. Stiefelhagen, N. Stricker, H. Wexel, F. Zanger.
      Automatisierungstechnik, 72(9): 829–843, 2024. [doi]
    • JOURNAL Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory.
      M. Zaremski, B. Handwerker, C. R. G. Dreher, F. Leven, D. Schneider, A. Roitberg, R. Stiefelhagen, G. Neumann, M. Heizmann, T. Asfour, B. Deml.
      Automatisierungstechnik, 72(9): 844–860, 2024. [doi]
    • CONF PROC Towards Video-based Activated Muscle Group Estimation in the Wild.
      K. Peng, D. Schneider, A. Roitberg, K. Yang, J. Zhang, C. Deng, K. Zhang, M. Saquib Sarfraz, R. Stiefelhagen.
      ACM Multimedia (ACM MM), 2024, pp. 4495–4504. [pdf] [code]
    • CONF PROC Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments.
      C. Tanama, K. Peng, Z. Marinov, R. Stiefelhagen, A. Roitberg.
      IEEE International Conference on Intelligent Robots and Systems (IROS), 2023. [pdf] [code]
    • JOURNAL Delving Deep into One-Shot Skeleton-based Action Recognition with Diverse Occlusions.
      K. Peng, A. Roitberg, K. Yang, J. Zhang, R. Stiefelhagen.
      IEEE Transactions on Multimedia (TMM), 2023. [pdf] [code]
    • CONF PROC Line Graphics Digitization: A Step Towards Full Automation.
      O. Moured, J. Zhang, A. Roitberg, T. Schwarz, R. Stiefelhagen.
      International Conference on Document Analysis and Recognition (ICDAR), 2023. Cham: Springer Nature Switzerland. [pdf] [code]
    • JOURNAL Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation.
      H. Xiao, K. Peng, X. Huang, A. Roitberg, H. Li, Z. Wang, R. Stiefelhagen.
      IEEE Sensors Journal, 2023. [pdf] [code]
    • CONF PROC On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars.
      W. Morales-Alvarez*, N. Certad*, A. Roitberg*, R. Stiefelhagen, C. Olaverri-Monreal.
      IEEE Conference on Intelligent Transportation Systems (ITSC), 2023. [pdf] (* denotes equal contribution)
    • WORKSHOP PROC FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation.
      H. Shi, Y. Li, K. Yang, J. Zhang, K. Peng, A. Roitberg, Y. Ye, H. Ni, K. Wang, R. Stiefelhagen.
      CVPR Workshops (OmniCV), 2023, pp. 6434–6444. [pdf] [code]
    • CONF PROC Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Daily Living Activities.
      Z. Marinov*, A. Roitberg*, D. Schneider*, R. Stiefelhagen.
      IEEE International Conference on Intelligent Robots and Systems (IROS), 2022. [pdf] (* denotes equal contribution)
    • CONF PROC TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration.
      K. Peng, A. Roitberg, K. Yang, J. Zhang, R. Stiefelhagen.
      IEEE International Conference on Intelligent Robots and Systems (IROS), 2022. [pdf] [code]
    • WORKSHOP PROC Multi-modal Depression Estimation based on Sub-attentional Fusion.
      P.-C. Wei, K. Peng, A. Roitberg, K. Yang, J. Zhang, R. Stiefelhagen.
      International Workshop on Assistive Computer Vision and Robotics (ACVR) with European Conference on Computer Vision (ECCV), 2022.
    • JOURNAL Is my Model Overconfident? Uncertainty-aware Driver Observation with Reliable and Interpretable Confidence Estimates.
      A. Roitberg, K. Peng, D. Schneider, M. Koulakis, K. Yang, M. Martinez, R. Stiefelhagen.
      IEEE Transactions on Intelligent Transportation Systems, 2022. [pdf]
    • CONF PROC Pose-based Contrastive Learning for Domain Agnostic Activity Representations.
      D. Schneider, S. Sarfraz, A. Roitberg, R. Stiefelhagen.
      Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022.
    • WORKSHOP PROC Should I take a walk? Estimating Energy Expenditure from Video Data.
      K. Peng*, A. Roitberg*, K. Yang, J. Zhang, R. Stiefelhagen.
      CVPR Workshop on Computer Vision for Physiological Measurement, June 2022. [pdf] [code] (* denotes equal contribution)
    • JOURNAL MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding.
      K. Peng, J. Fei, K. Yang, A. Roitberg, J. Zhang, F. Bieder, P. Heidenreich, C. Stiller, R. Stiefelhagen.
      IEEE Transactions on Intelligent Transportation Systems, 2022. [pdf] [code]
    • JOURNAL Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation.
      J. Zhang, C. Ma, K. Yang, A. Roitberg, K. Peng, R. Stiefelhagen.
      IEEE Transactions on Intelligent Transportation Systems, 2022. [pdf] [data]
    • CONF PROC Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning.
      K. Peng, A. Roitberg, D. Schneider, M. Koulakis, K. Yang, R. Stiefelhagen.
      International Conference on Automatic Face and Gesture Recognition, December 2021.
    • CONF PROC Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games.
      A. Roitberg*, D. Schneider*, A. Djamal, C. Seibold, S. ReiĂź, R. Stiefelhagen.
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 2021. [pdf] [website] (* denotes equal contribution)
    • CONF PROC From Driver Talk To Future Action: Vehicle Maneuver Prediction by Learning from Driving Exam Dialogs.
      A. Roitberg, S. ReiĂź, R. Stiefelhagen.
      IEEE Intelligent Vehicles Symposium, Nagoya, Japan (virtual), July 2021. [pdf]
    • CONF PROC DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange.
      C. Ma, J. Zhang, K. Yang, A. Roitberg, K. Peng, R. Stiefelhagen.
      IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021. [pdf] [website]
    • THESIS Uncertainty-aware Models for Deep Learning-based Human Activity Recognition and Applications in Intelligent Vehicles.
      A. Roitberg.
      PhD Dissertation, April 2021. [pdf]
    • CONF PROC Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models.
      A. Roitberg, M. Haurilet, M. Martinez, R. Stiefelhagen.
      International Conference on Pattern Recognition (ICPR), January 2021, oral (<10% acceptance rate for orals). [pdf]
    • CONF PROC Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information.
      R. Ruede, V. Heusser, L. Frank, A. Roitberg, M. Haurilet, R. Stiefelhagen.
      International Conference on Pattern Recognition (ICPR), January 2021. [pdf] [press article]
    • BOOK CHAPTER Personalisation and Control Transition Between Automation and Driver in Highly Automated Cars.
      M. Flad, P. Karg, P, A. Roitberg, M. Martin, M. Mazewitsch, C. Lange, E. Kenar, L. Ahrens, B. Flecken, L. Kalb, B. Karakaya, J. Ludwig, A. Pruksch, R. Stiefelhagen, S. Hohmann.
      Smart Automotive Mobility. Human–Computer Interaction Series. Springer, 2020. [doi]
    • CONF PROC Open Set Driver Activity Recognition.
      A. Roitberg, C. Ma, M. Haurilet, R. Stiefelhagen.
      Intelligent Vehicles Symposium (IV), IEEE, October 2020, 🏆 Best Student Paper 2nd Place Award. [pdf]
    • CONF PROC Deep Classification-driven Domain Adaptation for Cross-Modal Driver Behavior Recognition.
      S. ReiĂź*, A. Roitberg*, M. Haurilet, R. Stiefelhagen.
      Intelligent Vehicles Symposium (IV), IEEE, October 2020. [pdf] (* denotes equal contribution)
    • CONF PROC CNN-based Driver Activity Recognition: Shedding Light on Deep Spatiotemporal Representations.
      A. Roitberg, M. Haurilet, S. ReiĂź, R. Stiefelhagen.
      International Conference on Intelligent Transportation Systems (ITSC), IEEE, September 2020. [pdf]
    • WORKSHOP PROC Activity-aware Attributes for Zero-Shot Driver Behavior Recognition.
      S. ReiĂź*, A. Roitberg*, M. Haurilet, R. Stiefelhagen.
      CVPR Workshop on Visual Learning with Limited Labels (VL-LL), IEEE, June 2020. [pdf] (* denotes equal contribution)
    • CONF PROC Drive&Act: A Multi-modal Dataset for Fine-grained Driver Behavior Recognition in Autonomous Vehicles.
      M. Martin*, A. Roitberg*, M. Haurilet, M. Horne, S. ReiĂź, M. Voit, R. Stiefelhagen.
      International Conference on Computer Vision (ICCV), IEEE, Seoul, South Korea, Oct. 2019. [pdf] [bib] (25.0% acceptance rate, * denotes equal contribution)
    • CONF PROC WiSe - Slide Segmentation in the Wild.
      M. Haurilet, A. Roitberg, M. Martinez, R. Stiefelhagen.
      International Conference on Document Analysis and Recognition (ICDAR), IEEE, Sydney, Australia, Sep. 2019. [pdf]
    • WORKSHOP PROC Learning Fine-Grained Image Representations for Mathematical Expression Recognition.
      S. Bender*, M. Haurilet*, A. Roitberg, R. Stiefelhagen.
      ICDAR Workshop on Graphics Recognition, Sydney, Australia, Sep. 2019. [pdf] (* denotes equal contribution)
    • CONF PROC End-to-end Prediction of Driver Intention using 3D Convolutional Neural Networks.
      P. Gebert*, A. Roitberg*, M. Haurilet, R. Stiefelhagen.
      Intelligent Vehicles Symposium (IV), IEEE, Paris, France, June 2019. (* denotes equal contribution)
    • CONF PROC It’s not about the Journey; It’s about the Destination: Following Soft Paths under Question-Guidance for Visual Reasoning.
      M. Haurilet, A. Roitberg, R. Stiefelhagen.
      Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Long Beach, USA, June 2019. [pdf] (25.2% acceptance rate)
    • WORKSHOP PROC Analysis of Deep Fusion Strategies for Multi-modal Gesture Recognition.
      A. Roitberg*, T. Pollert*, M. Haurilet, M. Martin, R. Stiefelhagen.
      CVPR Workshop on Analysis and Modeling of Faces and Gestures (AMFG), IEEE, Long Beach, USA, June 2019. [pdf] [bib] (* denotes equal contribution)
    • CONF PROC Informed Democracy: Voting-based Novelty Detection for Action Recognition.
      A. Roitberg, Z. Al-Halah, R. Stiefelhagen.
      British Machine Vision Conference (BMVC), 2018. [pdf] [poster] [bib] (29.5% acceptance rate)
    • WORKSHOP PROC Towards a Fair Evaluation of Zero-Shot Action Recognition using External Data.
      A. Roitberg, M. Martinez, M. Haurilet, R. Stiefelhagen.
      ECCV Workshop on Shortcomings in Vision and Language (SiVL), Springer, Munich, Germany, 2018. [pdf] [poster] [bib] (spotlight presentation)
    • WORKSHOP PROC Estimating Mental Load in Passive and Active Tasks from Pupil and Gaze Changes using Bayesian Surprise.
      E. Wolf, M. Martinez, A. Roitberg, R. Stiefelhagen, B. Deml.
      ACM ICMI Modeling Cognitive Processes from Multimodal Data Workshop (ICMI-MCPMD), Boulder, Colorado, USA, 2018.
    • WORKSHOP PROC Using Technology Developed for Autonomous Cars to Help Navigate Blind People.
      M. Martinez, A. Roitberg, D. Koester, B. Schauerte, R. Stiefelhagen.
      ICCV Workshop on Assistive Computer Vision and Robotics (ACVR), 2017.
    • JOURNAL Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform.
      E. Falotico, L. Vannucci, A. Ambrosano, U. Albanese, S. Ulbrich, J. C. Vasquez Tieck, G. Hinkel, J. Kaiser, I. Peric, O. Denninger, N. Cauli, M. Kirtay, A. Roennau, G. Klinker, A. Von Arnim, L. Guyot, D. Peppicelli, P. Martínez-Cañada, E. Ros, P. Maier, S. Weber, M. Huber, D. Plecher, F. Röhrbein, S. Deser, A. Roitberg, P. van der Smagt, R. Dillman, P. Levi, C. Laschi, A. C. Knoll, M.-O. Gewaltig.
      Frontiers in Neurorobotics, 2017.
    • CONF PROC Improved skeleton estimation by means of depth data fusion from multiple depth cameras.
      M. Carraro, M. Munaro, A. Roitberg, E. Menegatti.
      International Conference on Intelligent Autonomous Systems, Springer, 2016.
    • CONF PROC Multimodal human activity recognition for industrial manufacturing processes in robotic workcells.
      A. Roitberg, N. Somani, A. Perzylo, M. Rickert, A. Knoll.
      ACM International Conference on Multimodal Interaction (ICMI), Seattle, USA, 2015.
    • CONF PROC Human Activity Recognition in the Context of Industrial Human-Robot Interaction.
      A. Roitberg, A. Perzylo, N. Somani, M. Giuliani, M. Rickert, A. Knoll.
      Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2014), IEEE, Siem Reap, Cambodia, 2014.