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  (5)
KACEM, Anis  (5)
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 (4)
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 6)

The most downloaded
66 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

6 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

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