Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. - Manoj Rohit Vemparala; Nael Fasfous; Lukas Frickenstein; Alexander Frickenstein; Anmol Singh; Driton Salihu; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (BMVC, 2021)

HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. - Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Emanuele Valpreda; Driton Salihu; Nguyen Anh Vu Doan; Christian Unger; Naveen Shankar Nagaraja; Maurizio Martina; Walter Stechele (ACM Trans. Embed. Comput. Syst., 2021)

AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. - Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Emanuele Valpreda; Driton Salihu; Julian Höfer; Anmol Singh; Naveen Shankar Nagaraja; Hans-Jörg Vögel; Nguyen Anh Vu Doan; Maurizio Martina; Jürgen Becker 001; et al. (DATE, 2022)

S2CMAF: Multi-Method Assessment Fusion for Scan-to-CAD Methods. - Driton Salihu; Adam Misik; Markus Hofbauer; Eckehard G. Steinbach (ISM, 2022)

COCCA: Point Cloud Completion through Cad Cross-Attention. - Adam Misik; Driton Salihu; Heike Brock; Eckehard G. Steinbach (ICIP, 2023)

Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection. - Yuankai Wu; Xin Su; Driton Salihu; Hao Xing; Marsil Zakour; Constantin Patsch (IROS, 2023)

SGPCR: Spherical Gaussian Point Cloud Representation and its Application to Object Registration and Retrieval. - Driton Salihu; Eckehard G. Steinbach (WACV, 2023)

Reconstruction with robustness: A semantic prior guided face super-resolution framework for multiple degradations. - Hongjun Wu 003; Haoran Qi; Huanrong Zhang; Zhi Jin; Driton Salihu; Jian-Fang Hu (Image Vis. Comput., 2023)

Long-Term Action Anticipation Based on Contextual Alignment. - Constantin Patsch; Jinghan Zhang 009; Yuankai Wu; Marsil Zakour; Driton Salihu; Eckehard G. Steinbach (ICASSP, 2024)

NPRF: Neural Painted Radiosity Fields for Neural Implicit Rendering and Surface Reconstruction. - Driton Salihu; Adam Misik; Yuankai Wu; Constantin Patsch; Eckehard G. Steinbach (ICASSP, 2024)

DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation. - Driton Salihu; Adam Misik; Yuankai Wu; Constantin Patsch; Fabián Seguel; Eckehard G. Steinbach (ICLR, 2024)

HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration. - Adam Misik; Driton Salihu; Xin Su; Heike Brock; Eckehard G. Steinbach (ICRA, 2024)

Sim-to-Real Domain Shift in Online Action Detection. - Constantin Patsch; Wael Torjmene; Marsil Zakour; Yuankai Wu; Driton Salihu; Eckehard G. Steinbach (IROS, 2024)

Enhanced Robotic Assistance for Human Activities through Human-Object Interaction Segment Prediction. - Yuankai Wu; Rayene Messaoud; Arne-Christoph Hildebrandt; Marco Baldini; Driton Salihu; Constantin Patsch; Eckehard G. Steinbach (IROS, 2024)

Rethinking 3D Geometric Object Features for Enhancing Skeleton-based Action Recognition. - Yuankai Wu; Chi Wang; Driton Salihu; Constantin Patsch; Marsil Zakour; Eckehard G. Steinbach (IROS, 2024)

LEMON: Localized Editing with Mesh Optimization and Neural Shaders. - Furkan Mert Algan; Umut Yazgan; Driton Salihu; Cem Eteke; Eckehard G. Steinbach (CoRR, 2024)

TSCL: Timestamp Supervised Contrastive Learning for Action Segmentation. - Constantin Patsch; Yuankai Wu; Driton Salihu; Marsil Zakour; Eckehard G. Steinbach (IEEE Robotics Autom. Lett., 2024)

PoinTS: mmWave Radar-based PointNet and Transformer Network for Human Skeleton Estimation in Privacy-Preserving Rehabilitation. - Yujun Wang; Fabián Seguel; Stefan Hägele; Driton Salihu; Eckehard G. Steinbach (EUROCON, 2025)

SMCNet: Supervised Surface Material Classification Using mmWave Radar IQ Signals and Complex-valued CNNs. - Stefan Hägele; Fabián Seguel; Driton Salihu; Adam Misik; Eckehard G. Steinbach (ICASSP, 2025)

HypCAD: Geometry-Enhanced Hyperbolic Contrastive Learning for CAD Model Retrieval. - Adam Misik; Driton Salihu; Xin Su; Heike Brock; Eckehard G. Steinbach (ICASSP, 2025)

VLP-KAN: Low-Complexity and Interpretable RSS-Based VLP Using Kolmogorov-Arnold Networks. - Fabián Seguel; Driton Salihu; Stefan Hägele; Eckehard G. Steinbach (WONS, 2025)