18 citations · 35 across the 15 of their papers we have counts for
9 papers · 1 filter
SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences
Takehiro Tanaka, Hyomin Choi, Ivan V. Bajić
We present a dataset that contains object annotations with unique object identities (IDs) for the High Efficiency Video Coding (HEVC) v1 Common Test Conditions (CTC) sequences. Gro…
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms
Liam Burrows, Ke Chen, Francesco Torella
Variational segmentation algorithms require a prior imposed in the form of a regularisation term to enforce smoothness of the solution. Recently, it was shown in the Deep Image Pri…
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…