12 citations · 20 across the 9 of their papers we have counts for
8 papers · 1 filter
NEEDL-Bench: Dataset for Swiss Needle Cast and Stomata Detection in Microscopy Images
Benjamin Blake, Declan McIntosh, Jürgen Ehlting +3
We present NEEDL-Bench, a microscopy detection benchmark for Swiss Needle Cast (SNC), a fungal disease of Douglas-fir trees. Douglas-fir is a keystone species of major ecological a…
TubeLite: Lightweight Multi-Actor Spatio-Temporal Action Detection
Ali Soltaninezhad, Melissa Cote, Alejandro Rico Espinosa +2
Spatio-temporal action detection in videos requires jointly localizing actors in space and identifying action boundaries over time. A common challenge is constructing temporally st…
BAAF: Universal Transformation of One-Class Classifiers for Unsupervised Image Anomaly Detection
Declan McIntosh, Alexandra Branzan Albu
Detecting anomalies in images and video is an essential task for multiple real-world problems, including industrial inspection, computer-assisted diagnosis, and environmental monit…
Exploring text-to-image generation for historical document image retrieval
Melissa Cote, Alexandra Branzan Albu
Attribute-based document image retrieval (ABDIR) was recently proposed as an alternative to query-by-example (QBE) searches, the dominant document image retrieval (DIR) paradigm. O…
TempNet: Temporal Attention Towards the Detection of Animal Behaviour in Videos
Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu +2
Recent advancements in cabled ocean observatories have increased the quality and prevalence of underwater videos; this data enables the extraction of high-level biologically releva…
Movement Tracks for the Automatic Detection of Fish Behavior in Videos
Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu +2
Global warming is predicted to profoundly impact ocean ecosystems. Fish behavior is an important indicator of changes in such marine environments. Thus, the automatic identificatio…