18 citations · 23 across the 5 of their papers we have counts for
6 papers
Collaborative Intelligence: Challenges and Opportunities
Ivan V. Bajić, Weisi Lin, Yonghong Tian
This paper presents an overview of the emerging area of collaborative intelligence (CI). Our goal is to raise awareness in the signal processing community of the challenges and opp…
Analysis of Latent-Space Motion for Collaborative Intelligence
Mateen Ulhaq, Ivan V. Bajić
When the input to a deep neural network (DNN) is a video signal, a sequence of feature tensors is produced at the intermediate layers of the model. If neighboring frames of the inp…
Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection
Ivan V. Bajić
Edge devices, such as cameras and mobile units, are increasingly capable of performing sophisticated computation in addition to their traditional roles in sensing and communicating…
Analysis of Information Flow Through U-Nets
Suemin Lee, Ivan V. Bajić
Deep Neural Networks (DNNs) have become ubiquitous in medical image processing and analysis. Among them, U-Nets are very popular in various image segmentation tasks. Yet, little is…
Bit Allocation for Multi-Task Collaborative Intelligence
Saeed Ranjbar Alvar, Ivan V. Bajić
Recent studies have shown that collaborative intelligence (CI) is a promising framework for deployment of Artificial Intelligence (AI)-based services on mobile devices. In CI, a de…
Shared Mobile-Cloud Inference for Collaborative Intelligence
Mateen Ulhaq, Ivan V. Bajić
As AI applications for mobile devices become more prevalent, there is an increasing need for faster execution and lower energy consumption for neural model inference. Historically,…