Declan McIntosh

I am a Computer Engineering Ph.D. student at the University of Victoria. My work mainly focuses on pattern recognition and computer vision, helping computers understand their senses.

My current research interests include:

Unsupervised Computer Vision
Anomaly detection for finding interesting things in massive video datasets
Energy compaction methods for efficient CNNs

Select Publications

Unsupervised, Online and On-The-Fly Anomaly Detection For Non-Stationary Image Distributions

Declan McIntoshand Alexandra Branzan Albu

European Conference On Computer Vision (ECCV 2024)

Inter-Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification

Declan McIntoshand Alexandra Branzan Albu

International Conference On Computer Vision (ICCV 2023)

Preservation of High-Frequency Content for Deep Learning-Based Medical Image Classification

Declan McIntosh, Tunai Porto Marques, and Alexandra Branzan Albu

18th Conference on Robots and Vision

Projects

Patent - MARINE DRIVER ASSIST SYSTEM AND METHOD

Wavelet Down Sample Preprocessing for the Classification of Radiographs

Functional OPTIMUS360 System Integrated Simulator Software

Movement Tracks for the Automatic Detection of Fish Behavior in Videos

Capstone Project On Developing Automated Boat Docking Technology

Foundation Up Built and Designed a 400 sqft Garden Suite