Driton Salihu

21 papers A* 2A 7B 1C 1Misc 4Journal 4Unranked 2
YearRankTypeTitle / Venue / Authors
2025 Misc conf
HypCAD: Geometry-Enhanced Hyperbolic Contrastive Learning for CAD Model Retrieval.
ICASSP
Adam Misik, Driton Salihu, Xin Su, Heike Brock, Eckehard G. Steinbach
2025 — conf
PoinTS: mmWave Radar-based PointNet and Transformer Network for Human Skeleton Estimation in Privacy-Preserving Rehabilitation.
EUROCON
Yujun Wang, Fabián Seguel, Stefan Hägele, Driton Salihu, Eckehard G. Steinbach
2025 Misc conf
SMCNet: Supervised Surface Material Classification Using mmWave Radar IQ Signals and Complex-valued CNNs.
ICASSP
Stefan Hägele, Fabián Seguel, Driton Salihu, Adam Misik, Eckehard G. Steinbach
2025 — conf
VLP-KAN: Low-Complexity and Interpretable RSS-Based VLP Using Kolmogorov-Arnold Networks.
WONS
Fabián Seguel, Driton Salihu, Stefan Hägele, Eckehard G. Steinbach
2024 A* conf
DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation.
ICLR
Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Fabián Seguel, Eckehard G. Steinbach
2024 A conf
Enhanced Robotic Assistance for Human Activities through Human-Object Interaction Segment Prediction.
IROS
Yuankai Wu, Rayene Messaoud, Arne-Christoph Hildebrandt, Marco Baldini, Driton Salihu, Constantin Patsch, Eckehard G. Steinbach
2024 A* conf
HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration.
ICRA
Adam Misik, Driton Salihu, Xin Su, Heike Brock, Eckehard G. Steinbach
2024 J jnl
LEMON: Localized Editing with Mesh Optimization and Neural Shaders.
CoRR
Furkan Mert Algan, Umut Yazgan, Driton Salihu, Cem Eteke, Eckehard G. Steinbach
2024 Misc conf
Long-Term Action Anticipation Based on Contextual Alignment.
ICASSP
Constantin Patsch, Jinghan Zhang, Yuankai Wu, Marsil Zakour, Driton Salihu, Eckehard G. Steinbach
2024 Misc conf
NPRF: Neural Painted Radiosity Fields for Neural Implicit Rendering and Surface Reconstruction.
ICASSP
Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Eckehard G. Steinbach
2024 A conf
Rethinking 3D Geometric Object Features for Enhancing Skeleton-based Action Recognition.
IROS
Yuankai Wu, Chi Wang, Driton Salihu, Constantin Patsch, Marsil Zakour, Eckehard G. Steinbach
2024 A conf
Sim-to-Real Domain Shift in Online Action Detection.
IROS
Constantin Patsch, Wael Torjmene, Marsil Zakour, Yuankai Wu, Driton Salihu, Eckehard G. Steinbach
2024 J jnl
TSCL: Timestamp Supervised Contrastive Learning for Action Segmentation.
IEEE Robotics Autom. Lett.
Constantin Patsch, Yuankai Wu, Driton Salihu, Marsil Zakour, Eckehard G. Steinbach
2023 B conf
COCCA: Point Cloud Completion through Cad Cross-Attention.
ICIP
Adam Misik, Driton Salihu, Heike Brock, Eckehard G. Steinbach
2023 A conf
Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection.
IROS
Yuankai Wu, Xin Su, Driton Salihu, Hao Xing, Marsil Zakour, Constantin Patsch
2023 J jnl
Reconstruction with robustness: A semantic prior guided face super-resolution framework for multiple degradations.
Image Vis. Comput.
Hongjun Wu, Haoran Qi, Huanrong Zhang, Zhi Jin, Driton Salihu, Jian-Fang Hu
2023 A conf
SGPCR: Spherical Gaussian Point Cloud Representation and its Application to Object Registration and Retrieval.
WACV
Driton Salihu, Eckehard G. Steinbach
2022 A conf
AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms.
DATE
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, Walter Stechele
2022 C conf
S2CMAF: Multi-Method Assessment Fusion for Scan-to-CAD Methods.
ISM
Driton Salihu, Adam Misik, Markus Hofbauer, Eckehard G. Steinbach
2021 J jnl
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology.
ACM Trans. Embed. Comput. Syst.
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
2021 A conf
Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization.
BMVC
Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele