Publications

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).