collaborators

5 papers

cs.CV2026

Can't Find Waldo: Evaluating VLMs' Sensitivity to Image Resolution and Detail Level

Alexandra Schild, Gerard de Melo

Visual Language Models (VLMs) have achieved remarkable success across diverse tasks, yet they struggle with high-resolution inputs where critical information resides in small regio…

cs.CV2026

What Does Animal Re-Identification Learn? Linear Biological Concepts and Their Origins in Visual Representations

Robert Nolting, Alexandra Schild, Moritz Weckbecker +2

Conservation increasingly relies on camera traps that collect more wildlife imagery than experts can manually analyze, making animal re-identification (Re-ID) essential for monitor…

cs.AI2026

SVG-Score: Human-Aligned Evaluation of Text-to-SVG Generation

Marco Cipriano, Leonardo Zini, Alexandra Schild +5

Scalable Vector Graphics (SVG) generation is attracting increasing attention as generative models improve in expressiveness and controllability. Progress, however, is held back by…

cs.CV2026

Are We Recognizing the Jaguar or Its Background? A Diagnostic Framework for Jaguar Re-Identification

Antonio Rueda-Toicen, Abigail Allen Martin, Daniil Morozov +5

Jaguar re-identification (re-ID) from citizen-science imagery can look strong on standard retrieval metrics while still relying on the wrong evidence, such as background context or…

cs.CV2025

GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring

Maximilian Schall, Felix Leonard Knöfel, Noah Elias König +11

Monitoring critically endangered western lowland gorillas is currently hampered by the immense manual effort required to re-identify individuals from vast archives of camera trap f…