Arian Bakhtiarnia

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Diffusion Models

Top Venues

Publications

Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. ICASSP (2024)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Efficient High-Resolution Deep Learning: A Survey. ACM Comput. Surv. 56 (7) (2024)
Aleksandar Armacki, Nemanja Milosevic, Dragana Bajovic, S. Kar, Dusan Jakovetic, Arian Bakhtiarnia, Lukas Esterle, Adrian Muscat, T. Festi
Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. EUSIPCO (2023)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. CoRR (2023)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. CoRR (2023)
Blazej Leporowski, Arian Bakhtiarnia, Nicole Bonnici, Adrian Muscat, Luca Zanella, Yiming Wang, Alexandros Iosifidis
Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos. CoRR (2023)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. IJCNN (2023)
Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis
Dynamic Split Computing for Efficient Deep EDGE Intelligence. ICASSP (2023)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. SSCI (2023)
Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis
Continual Transformers: Redundancy-Free Attention for Online Inference. ICLR (2023)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. CoRR (2022)
Arian Bakhtiarnia, Blazej Leporowski, Lukas Esterle, Alexandros Iosifidis
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. ISC2 (2022)
Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis
Dynamic Split Computing for Efficient Deep Edge Intelligence. CoRR (2022)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Efficient High-Resolution Deep Learning: A Survey. CoRR (2022)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks 153 (2022)
Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis
Continual Transformers: Redundancy-Free Attention for Online Inference. CoRR (2022)
Arian Bakhtiarnia, Blazej Leporowski, Lukas Esterle, Alexandros Iosifidis
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. CoRR (2022)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. IJCNN (2021)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. CoRR (2021)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Multi-Exit Vision Transformer for Dynamic Inference. CoRR (2021)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Multi-Exit Vision Transformer for Dynamic Inference. BMVC (2021)
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead. CoRR (2021)