Featured project01
TraffickCam
Computer vision and image retrieval to help identify where victims of human trafficking and child sexual abuse have been photographed.
Our work on hotel recognition combines large-scale visual search, fine-grained place recognition, and investigator-facing tools. The research has produced the Hotels-50K and OpenHotels datasets, community benchmarks, and new approaches to multimodal and geographically constrained retrieval.
TraffickCam ↗Hotels-50K ↗
Multimodal image retrieval
Image search guided by natural language, visual examples, concepts, and human notions of similarity.
AI for scientific discovery
Computer vision for plant phenomics, hyperspectral imagery, remote sensing, and genotype–phenotype analysis.
Interpretable machine learning
Visualizations and evaluation tools that make similarity models and embedding spaces easier to understand.
Former students and mentees +
Selected work
Recent publications
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Current SLU students: Email Dr. Stylianou with a short write-up describing a project aligned with the lab’s interests that you would like to pursue. Include your relevant background and explain what prepares you to do that work.
Prospective PhD students: First apply to the SLU Computer Science PhD program. Then email Dr. Stylianou with the same information: a proposed project aligned with the lab’s interests and the background that prepares you to pursue it.
abby.stylianou@slu.edu