Publications

Hirra Anwar, Haseeb Muhammad, Muhammad Mohsin Ghaffar, Muhammad Ali Afridi, Muhammad Jawad Khan, Christian Weis, Norbert Wehn, Faisal Shafait (2025). Segmentation of Wheat Rust Disease Using Co-Salient Feature Extraction. AgriEngineering, 2025.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel (2024). Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. 2024 International Joint Conference on Neural Networks (IJCNN).

Sungho Suh, Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Paul Lukowicz (2024). Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks. Heliyon, 2024.

Karen Joisten (2024). Selbstverständlich digital. J.B. Metzler Berlin, Heidelberg.

Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim (2024). AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. Knowledge-Based Systems, 2024.

Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim (2024). ContextMix: A context-aware data augmentation method for industrial visual inspection systems. Engineering Applications of Artificial Intelligence, 2024.

Mengisti Berihu Girmay, Felix Möhrle (2024). Exploring explainability formats to aid decision-making in dairy farming systems.

GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft

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Mengisti Berihu Girmay, Samuel Obeng (2024). Explainable AI: Leaf-based medicinal plant classification using knowledge distillation.

GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft

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Sungho Suh, Vitor Fortes Rey, Sizhen Bian, Yu-Chi Huang, Jože M Rožanec, Hooman Tavakoli Ghinani, Bo Zhou, Paul Lukowicz (2024). Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field. IEEE Internet of Things Journal, 2024.

Tapanta Bhanja, Jonathan Nußbaum, Khalil Abuibaid, Tatjana Legler, Achim Wagner, Martin Ruskowski (2024). The need for neuromorphic computing in industrial robotics. 2023 International Conference on Artificial Intelligence and Power Engineering (AIPE).

Davinder Pal Singh, Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz (2024). A Novel Local-Global Feature Fusion Framework for Body-Weight Exercise Recognition with Pressure Mapping Sensors. ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tobias Christian Nauen, Sebastian Palacio, Andreas Dengel (2024). TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax. 27th International Conference on Pattern Recognition (ICPR) 2024.

Katharina Bendig, René Schuster, Didier Stricker (2024). ShapeAug: Occlusion Augmentation for Event Camera Data. International Conference on Pattern Recognition Applications and Methods.

Mohammad Hassani Sadi, Chirag Sudarshan, Norbert Wehn (2024). Novel adaptive quantization methodology for 8-bit floating-point DNN training. Design Automation for Embedded Systems, 2024.

Vinit Hegiste, Tatjana Legler, Martin Ruskowski (2023). Federated Ensemble YOLOv5 – A Better Generalized Object Detection Algorithm. International Conference on Fog and Mobile Edge Computing.

Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Sungho Suh, Paul Lukowicz (2023). Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries. IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society.

Brian B Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel (2023). DWA: Differential Wavelet Amplifier for Image Super-Resolution. International Conference on Artificial Neural Networks.

Parham Zolfaghari, Vitor Fortes Rey, Lala Ray, Hyun Kim, Sungho Suh, Paul Lukowicz (2023). Sensor data augmentation from skeleton pose sequences for improving human activity recognition. 2024 International Conference on Activity and Behavior Computing (ABC).

Hirra Anwar, Saad Ullah Khan, Muhammad Mohsin Ghaffar, Muhammad Fayyaz, Muhammad Jawad Khan, Christian Weis, Norbert Wehn, Faisal Shafait (2023). The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop. Sensors, 2023.

Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim (2023). Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. IEEE/CVF International Conference on Computer Vision (ICCV 2023).

Yunmin Cho, Lala Shakti Swarup Ray, Kundan Sai Prabhu Thota, Sungho Suh, Paul Lukowicz (2023). ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset. IEEE International Conference on Image Processing 2023 (ICIP 2023).

Octavio Arriaga, Sebastian Palacio, Matias Valdenegro-Toro (2023). Difficulty Estimation With Action Scores for Computer Vision Tasks. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, Vancouver, Canada.

Chonghyo Joo, Jeongdong Kim, Hyungtae Cho, Jaewon Lee, Sungho Suh, Junghwan Kim (2023). Chemical Property-Guided Neural Networks for Naphtha Composition Prediction. IEEE International Conference on Industrial Informatics 2023 (INDIN).

Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vitor Fortes Rey, Paul Lukowicz (2023). FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. 34th IEEE International Conference on Application-specific Systems Architectures and Processors (ASAP).

Katharina Bendig, René Schuster, Didier Stricker (2023). On the Future of Training Spiking Neural Networks. International Conference on Pattern Recognition Applications and Methods, 2023.

Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz (2023). A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. IEEE International Symposium on Biomedical Imaging (ISBI) 2023.

Sungho Suh, Vitor Fortes Rey, Paul Lukowicz (2022). TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation. Knowledge-Based Systems, 2022.

Chirag Sudarshan, Mohammad Hassani Sadi, Christian Weis, Norbert Wehn (2022). Optimization of DRAM based PIM Architecture for Energy-Efficient Deep Neural Network Training. 2022 IEEE International Symposium on Circuits and Systems (ISCAS).

Vitor Fortes Rey, Sungho Suh, Paul Lukowicz (2022). Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognitiony. International Symposium on Wearable Computers, 2022.

Chirag Sudarshan, Taha Soliman, Thomas Kämpfe, Christian Weis, Norbert Wehn (2022). FeFET versus DRAM based PIM Architectures: A Comparative Study. IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), October, 2022, Patras, Greece.

Chirag Sudarshan, Mohammad Hassani Sadi, Lukas Steiner, Christian Weis, Norbert Wehn (2022). A Critical Assessment of DRAM-PIM Architectures - Trends, Challenges and Solutions. International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXII), July, 2022, Samos Island, Greece.

Chirag Sudarshan, Taha Soliman, Jan Lappas, Christian Weis, Mohammad Hassani Sadi, Matthias Jung, Andre Guntoro, Norbert Wehn (2022). A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (Volume: 12, Issue: 2, June 2022).