23 citations · 27 across the 9 of their papers we have counts for
5 papers · 1 filter
SPARC: SuperPixel-Aware Region Contrastive Learning for Self-Supervised Dense Prediction
David Szczecina, Yuanpei Xiang, Jitao Hu +4
Self-supervised learning (SSL) has become an effective approach for learning visual representations without manual annotations. Among SSL approaches, contrastive learning has been…
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms
Nitpreet Bamra, Vikram Voleti, Alexander Wong +1
Climate change is increasing the frequency and severity of harmful algal blooms (HABs), which cause significant fish deaths in aquaculture farms. This contributes to ocean pollutio…
Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning
Jason L. Deglint, Chao Jin, Alexander Wong
Under the impact of global climate changes and human activities, harmful algae blooms in surface waters have become a growing concern due to negative impacts on water related indus…
The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features
Jason L. Deglint, Chao Jin, Angela Chao +1
Harmful algae blooms (HABs), which produce lethal toxins, are a growing global concern since they negatively affect the quality of drinking water and have major negative impact on…
Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling
Jason Deglint, Farnoud Kazemzadeh, Daniel Cho +2
The simultaneous capture of imaging data at multiple wavelengths across the electromagnetic spectrum is highly challenging, requiring complex and costly multispectral image sensors…