Ahmad Sajedi

21 papers A* 2Misc 2Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios.
CVPR
Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alexander Hauptmann, Yang You
2025 J jnl
FedPnP: Personalized graph-structured federated learning.
Pattern Recognit.
Arash Rasti-Meymandi, Ahmad Sajedi, Konstantinos N. Plataniotis
2024 — conf
ATOM: Attention Mixer for Efficient Dataset Distillation.
CVPR Workshops
Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 J jnl
ATOM: Attention Mixer for Efficient Dataset Distillation.
CoRR
Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 — conf
Data-to-Model Distillation: Data-Efficient Learning Framework.
ECCV (43)
Ahmad Sajedi, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 J jnl
Data-to-Model Distillation: Data-Efficient Learning Framework.
CoRR
Ahmad Sajedi, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 J jnl
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios.
CoRR
Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alex Hauptmann, Yang You
2024 — conf
GSTAM: Efficient Graph Distillation with Structural Attention-Matching.
ECCV Workshops (19)
Arash Rasti-Meymandi, Ahmad Sajedi, Zhaopan Xu, Konstantinos N. Plataniotis
2024 J jnl
GSTAM: Efficient Graph Distillation with Structural Attention-Matching.
CoRR
Arash Rasti-Meymandi, Ahmad Sajedi, Zhaopan Xu, Konstantinos N. Plataniotis
2024 J jnl
Prioritize Alignment in Dataset Distillation.
CoRR
Zekai Li, Ziyao Guo, Wangbo Zhao, Tianle Zhang, Zhi-Qi Cheng, Samir Khaki, Kaipeng Zhang, Ahmad Sajedi, Konstantinos N. Plataniotis, Kai Wang, Yang You
2024 Misc conf
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification.
ICASSP
Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2024 J jnl
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification.
CoRR
Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 J jnl
A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction.
CoRR
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 Misc conf
A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction.
ICASSP
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 A* conf
DataDAM: Efficient Dataset Distillation with Attention Matching.
ICCV
Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 J jnl
DataDAM: Efficient Dataset Distillation with Attention Matching.
CoRR
Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2023 J jnl
End-to-End Supervised Multilabel Contrastive Learning.
CoRR
Ahmad Sajedi, Samir Khaki, Konstantinos N. Plataniotis, Mahdi S. Hosseini
2022 — conf
Subclass Knowledge Distillation with Known Subclass Labels.
IVMSP
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2022 J jnl
Subclass Knowledge Distillation with Known Subclass Labels.
CoRR
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
2021 J jnl
High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks.
CoRR
Hossam Amer, Ahmed H. Salamah, Ahmad Sajedi, En-Hui Yang
2021 J jnl
On the Efficiency of Subclass Knowledge Distillation in Classification Tasks.
CoRR
Ahmad Sajedi, Konstantinos N. Plataniotis