8 citations · 23 across the 13 of their papers we have counts for
5 papers · 1 filter
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
JPEG image compression algorithm is a widely used technique for image size reduction in edge and cloud computing settings. However, applying such lossy compression on images proces…
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications
Arian Bakhtiarnia, Błażej Leporowski, Lukas Esterle +1
Images and video frames captured by cameras placed throughout smart cities are often transmitted over the network to a server to be processed by deep neural networks for various ta…
Efficient High-Resolution Deep Learning: A Survey
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Cameras in modern devices such as smartphones, satellites and medical equipment are capable of capturing very high resolution images and videos. Such high-resolution data often nee…
Dynamic Split Computing for Efficient Deep Edge Intelligence
Arian Bakhtiarnia, Nemanja Milošević, Qi Zhang +2
Deploying deep neural networks (DNNs) on IoT and mobile devices is a challenging task due to their limited computational resources. Thus, demanding tasks are often entirely offload…
Continual Transformers: Redundancy-Free Attention for Online Inference
Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis
Transformers in their common form are inherently limited to operate on whole token sequences rather than on one token at a time. Consequently, their use during online inference on…