Publications

Jilliam Maria Diaz Barros; Chen-Yu Wang; Didier Stricker; Jason Raphael Rambach

CONFIDENCE-AWARE CLUSTERED LANDMARK FILTERING FOR HYBRID 3D FACE TRACKING

In: IEEE (Hrsg.). Proceedings of the 30th ICIP. IEEE International Conference on Image Processing (ICIP-2023), October 8-11, Kuala Lumpur, Malaysia, IEEE, 2023.

Leonid Schwenke; Martin Atzmueller

Making Time Series Embeddings More Interpretable in Deep Learning: Extracting Higher-Level Features via Symbolic Approximation Representations

In: Proceedings of the 36th International Florida Artificial Intelligence Research Society Conference (FLAIRS-2023). International FLAIRS Conference (FLAIRS-2023), May 14-17, Clearwater Beach, FL, USA, Florida Online Journals, 2023.

Simon Jungbluth; Nigora Gafur; Jens Popper; Vassilios Yfantis; Martin Ruskowski

Reinforcement Learning-based Scheduling of a Job-Shop Process with Distributedly Controlled Robotic Manipulators for Transport Operations

In: IFAC-PapersOnLine, Vol. 55, No. 2, Pages 156-162, Elsevier, 2022.

Dipam Goswami; René Schuster; Didier Stricker

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation

In: Winter Conference on Applications of Computer Vision 2023. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 2-7, Waikoloa, HI, USA, IEEE, 2023.

Hamraz Javaheri; Sencer Melih Deniz; Juan Felipe Vargas; Dogan Urgun; Fariza Sabit; Mahmut Tok; Mehmet Haklidir; Bo Zhou; Paul Lukowicz

Prediction of Lifted Weight Category Using EEG Equipped Headgear

In: IEEÉ-BHI-BSN 2022. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI-22), IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’22) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN’22, Ioannina, Greece, IEEE EMBS, 2022.

Huy Phan; Thi Ngoc Tho Nguyen; Philipp Koch; Alfred Mertins

Publications

Year

CONFIDENCE-AWARE CLUSTERED LANDMARK FILTERING FOR HYBRID 3D FACE TRACKING

Making Time Series Embeddings More Interpretable in Deep Learning: Extracting Higher-Level Features via Symbolic Approximation Representations

Reinforcement Learning-based Scheduling of a Job-Shop Process with Distributedly Controlled Robotic Manipulators for Transport Operations

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation

Prediction of Lifted Weight Category Using EEG Equipped Headgear

Polyphonic Audio Event Detection: Multi-Label or Multi-Class Multi-Task Classification Problem?

Pediatric Automatic Sleep Staging: A comparative study of state-of-the-art deep learning methods

SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification

Convolutive Attention for Image Registration

Performance Evaluation over DL-Based Channel Prediction Algorithm on Realistic CSI

Year