Multi-Exit Vision Transformer for Dynamic Inference. - Arian Bakhtiarnia; Qi Zhang 013; Alexandros Iosifidis (BMVC, 2021)

Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. - Arian Bakhtiarnia; Qi Zhang 013; Alexandros Iosifidis (IJCNN, 2021)

Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. - Arian Bakhtiarnia; Blazej Leporowski; Lukas Esterle; Alexandros Iosifidis (ISC2, 2022)

Single-layer vision transformers for more accurate early exits with less overhead. - Arian Bakhtiarnia; Qi Zhang 013; Alexandros Iosifidis (Neural Networks, 2022)

Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. - Aleksandar Armacki; Nemanja Milosevic; Dragana Bajovic; Soummya Kar; Dusan Jakovetic; Arian Bakhtiarnia; Lukas Esterle; Adrian Muscat; Thomas Festi (EUSIPCO, 2023)

Dynamic Split Computing for Efficient Deep EDGE Intelligence. - Arian Bakhtiarnia; Nemanja Milosevic; Qi Zhang 013; Dragana Bajovic; Alexandros Iosifidis (ICASSP, 2023)

Continual Transformers: Redundancy-Free Attention for Online Inference. - Lukas Hedegaard; Arian Bakhtiarnia; Alexandros Iosifidis (ICLR, 2023)

PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. - Arian Bakhtiarnia; Qi Zhang 013; Alexandros Iosifidis (IJCNN, 2023)

Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. - Arian Bakhtiarnia; Qi Zhang 013; Alexandros Iosifidis (SSCI, 2023)

Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos. - Blazej Leporowski; Arian Bakhtiarnia; Nicole Bonnici; Adrian Muscat; Luca Zanella; Yiming Wang 002; Alexandros Iosifidis (CoRR, 2023)

Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. - Arian Bakhtiarnia; Qi Zhang 013; Alexandros Iosifidis (ICASSP, 2024)

MAVAD: Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos. - Blazej Leporowski; Arian Bakhtiarnia; Nicole Bonnici; Adrian Muscat; Luca Zanella; Yiming Wang 002; Alexandros Iosifidis (ICIP, 2024)

Are LLM-based methods good enough for detecting unfair terms of service? - Mirgita Frasheri; Arian Bakhtiarnia; Lukas Esterle; Alexandros Iosifidis (CoRR, 2024)

Continual Low-Rank Scaled Dot-product Attention. - Ginés Carreto Picón; Illia Oleksiienko; Lukas Hedegaard; Arian Bakhtiarnia; Alexandros Iosifidis (CoRR, 2024)

Efficient High-Resolution Deep Learning: A Survey. - Arian Bakhtiarnia; Qi Zhang 013; Alexandros Iosifidis (ACM Comput. Surv., 2024)