18 citations · 28 across the 11 of their papers we have counts for
6 papers · 1 filter
Privacy-Preserving Feature Coding for Machines
Bardia Azizian, Ivan V. Bajić
Automated machine vision pipelines do not need the exact visual content to perform their tasks. Therefore, there is a potential to remove private information from the data without…
Practical Noise Simulation for RGB Images
Saeed Ranjbar Alvar, Ivan V. Bajić
This document describes a noise generator that simulates realistic noise found in smartphone cameras. The generator simulates Poissonian-Gaussian noise whose parameters have been e…
CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence
Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajić
In collaborative intelligence, an artificial intelligence (AI) model is typically split between an edge device and the cloud. Feature tensors produced by the edge sub-model are sen…
Error Resilient Collaborative Intelligence via Low-Rank Tensor Completion
Lior Bragilevsky, Ivan V. Bajić
In the race to bring Artificial Intelligence (AI) to the edge, collaborative intelligence has emerged as a promising way to lighten the computation load on edge devices that run ap…
Swimmer Stroke Rate Estimation From Overhead Race Video
Timothy Woinoski, Ivan V. Bajić
In this work, we propose a swimming analytics system for automatically determining swimmer stroke rates from overhead race video (ORV). General ORV is defined as any footage of swi…
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…