Back
  1. Home
  2. Profile of Peyman ROSTAMI ABENDANSARI (Unilu)
Profil

ROSTAMI ABENDANSARI Peyman

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2

Main Referenced Co-authors
AOUADA, Djamila  (6)
KACEM, Anis  (6)
SHABAYEK, Abd El Rahman  (5)
SINHA, Nilotpal  (5)
SHNEIDER, Carl  (4)
Main Referenced Keywords
Neural Network Compression (4); Deep Learning (3); Edge Devices (2); Hardware-aware Neural Architecture Search (2); Artificial Intelligence (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > CVI² - Computer Vision Imaging & Machine Intelligence (4)
Main Referenced Disciplines
Computer science (5)
Engineering, computing & technology: Multidisciplinary, general & others (3)
Electrical & electronics engineering (2)
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others (2)
Space science, astronomy & astrophysics (1)

Publications (total 7)

The most downloaded
98 downloads
SHNEIDER, C., SINHA, N., JAMROZIK, M. L., ASTRID, M., ROSTAMI ABENDANSARI, P., KACEM, A., SHABAYEK, A. E. R., & AOUADA, D. (19 April 2023). Compression of Deep Neural Networks for Space Autonomous Systems [Poster presentation]. Luxembourg Space Resources Week 2023, Luxembourg, Luxembourg. doi:10.5281/zenodo.7931156 https://hdl.handle.net/10993/56045

The most cited

12 citations (OpenAlex)

ROSTAMI ABENDANSARI, P. (2022). A Deep Learning Approach for Reconstruction in Millimeter-Wave Imaging Systems. IEEE Transactions on Antennas and Propagation. doi:10.1109/TAP.2022.3210690 https://hdl.handle.net/10993/54209

ALI OUSALAH, N., ROSTAMI ABENDANSARI, P., KACEM, A., GHORBEL, E., Emmanuel Koumandakis, & AOUADA, D. (2025). FPG-NAS: FLOPs-Aware Gated Differentiable Neural Architecture Search for Efficient 6DoF Pose Estimation. IEEE International Workshop on Multimedia Signal Processing.
Peer reviewed

SINHA, N., ROSTAMI ABENDANSARI, P., SHABAYEK, A. E. R., KACEM, A., & AOUADA, D. (April 2024). Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity [Paper presentation]. Conference on Computer Vision and Pattern Recognition (CVPR) Workshop 2024, Seattle, United States.
Peer reviewed

SINHA, N., SHABAYEK, A. E. R., KACEM, A., ROSTAMI ABENDANSARI, P., SHNEIDER, C., & AOUADA, D. (2024). Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric. Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. doi:10.1109/WACV57701.2024.00261
Peer reviewed

SHNEIDER, C., ROSTAMI ABENDANSARI, P., KACEM, A., SINHA, N., SHABAYEK, A. E. R., & AOUADA, D. (19 July 2023). Impact of Disentanglement on Pruning Neural Networks [Paper presentation]. International Symposium on Computational Sensing (ISCS23), Luxembourg, Luxembourg. doi:10.48550/arXiv.2307.09994

SHNEIDER, C., ROSTAMI ABENDANSARI, P., KACEM, A., SINHA, N., SHABAYEK, A. E. R., & AOUADA, D. (20 June 2023). Impact of Disentanglement on Pruning Neural Networks [Poster presentation]. International Symposium on Computational Sensing (ISCS23), Luxembourg, Luxembourg. doi:10.5281/zenodo.8060029

SHNEIDER, C., SINHA, N., JAMROZIK, M. L., ASTRID, M., ROSTAMI ABENDANSARI, P., KACEM, A., SHABAYEK, A. E. R., & AOUADA, D. (19 April 2023). Compression of Deep Neural Networks for Space Autonomous Systems [Poster presentation]. Luxembourg Space Resources Week 2023, Luxembourg, Luxembourg. doi:10.5281/zenodo.7931156

ROSTAMI ABENDANSARI, P. (2022). A Deep Learning Approach for Reconstruction in Millimeter-Wave Imaging Systems. IEEE Transactions on Antennas and Propagation. doi:10.1109/TAP.2022.3210690
Peer Reviewed verified by ORBi

Contact ORBilu