Declan McIntosh

I am a Computer Engineering Ph.D. student at The University of Victoria who loves building novel solutions to interesting problems. I mainly focus my work on pattern recognition and computer vision.

My current research interests include:

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

Select Publications

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

TempNet: Temporal Attention Towards the Detection of Animal Behaviour in Videos

Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu, Rodney Rountree, and Fabio De Leo

26th International Conference on Pattern Recognition (ICPR 2022)

Movement Tracks for the Automatic Detection of Fish Behavior in Videos

Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu, Rodney Rountree, and Fabio De Leo

NeurIPS 2020 Workshop - Tackling Climate Change with Machine Learning

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