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Arian Bakhtiarnia
Arian Bakhtiarnia
Deep Learning Researcher, Aarhus University
Verified email at ece.au.dk
Title
Cited by
Cited by
Year
Single-layer vision transformers for more accurate early exits with less overhead
A Bakhtiarnia, Q Zhang, A Iosifidis
Neural Networks 153, 461-473, 2022
412022
Dynamic split computing for efficient deep edge intelligence
A Bakhtiarnia, N Milošević, Q Zhang, D Bajović, A Iosifidis
Icassp 2023-2023 ieee international conference on acoustics, speech and …, 2023
342023
Efficient High-Resolution Deep Learning: A Survey
A Bakhtiarnia, Q Zhang, A Iosifidis
ACM Computing Surveys, 2024
232024
Multi-Exit Vision Transformer for Dynamic Inference
A Bakhtiarnia, Q Zhang, A Iosifidis
2021 British Machine Vision Conference (BMVC), 2021
232021
Marvel: Multimodal extreme scale data analytics for smart cities environments
D Bajovic, A Bakhtiarnia, G Bravos, A Brutti, F Burkhardt, D Cauchi, ...
2021 International Balkan Conference on Communications and Networking …, 2021
212021
Improving the accuracy of early exits in multi-exit architectures via curriculum learning
A Bakhtiarnia, Q Zhang, A Iosifidis
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
142021
Continual Transformers: Redundancy-Free Attention for Online Inference
L Hedegaard, A Bakhtiarnia, A Iosifidis
The Eleventh International Conference on Learning Representations (ICLR 2023), 2023
112023
Parameter identification of complex network dynamics
A Bakhtiarnia, A Fahim, EM Miandoab
Nonlinear Dynamics 104 (4), 3991-4005, 2021
62021
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
A Bakhtiarnia, Q Zhang, A Iosifidis
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
42023
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications
A Bakhtiarnia, B Leporowski, L Esterle, A Iosifidis
2022 IEEE International Smart Cities Conference (ISC2 2022) MARV Workshop, 2022
42022
Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos
B Leporowski, A Bakhtiarnia, N Bonnici, A Muscat, L Zanella, Y Wang, ...
2024 International Conference on Image Processing (ICIP), 2024
22024
Data-driven discovery of social network dynamics
A Bakhtiarnia, A Fahim, EM Miandoab
2020 4th International Conference on Smart City, Internet of Things and …, 2020
22020
Are LLM-based methods good enough for detecting unfair terms of service?
M Frasheri, A Bakhtiarnia, L Esterle, A Iosifidis
arXiv preprint arXiv:2409.00077, 2024
12024
Communication efficient model-aware federated learning for visual crowd counting and density estimation in smart cities
A Armacki, N Milosevic, D Bajovic, S Kar, D Jakovetic, A Bakhtiarnia, ...
2023 31st European Signal Processing Conference (EUSIPCO), 875-879, 2023
12023
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training
A Bakhtiarnia, Q Zhang, A Iosifidis
2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023
12023
Continual Low-Rank Scaled Dot-product Attention
GC Picón, I Oleksiienko, L Hedegaard, A Bakhtiarnia, A Iosifidis
arXiv preprint arXiv:2412.03214, 2024
2024
Continual Low-Rank Scaled Dot-product Attention
G Carreto Picón, I Oleksiienko, L Hedegaard, A Bakhtiarnia, A Iosifidis
arXiv e-prints, arXiv: 2412.03214, 2024
2024
MAVAD: Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos
B Leporowski, A Bakhtiarnia, N Bonnici, A Muscat, L Zanella, Y Wang, ...
2024 IEEE International Conference on Image Processing (ICIP), 1106-1112, 2024
2024
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement
A Bakhtiarnia, Q Zhang, A Iosifidis
2024 IEEE International Conference on Acoustics, Speech, and Signal …, 2024
2024
Optimizing Deep Learning Inference for Edge Intelligence
A Bakhtiarnia
Aarhus University, 2023
2023
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