5 papers
Whose Face Is It Anyway? A Multi-Model Audit of Facial Affect Recognition on Children, and Why the Gap Is the Head, Not the Features
Tobias Hallmen, Robin-Nico Kampa, Elisabeth André
Facial affect models are trained almost entirely on adults, yet are increasingly applied to children in education, health, and developmental research. We present a controlled, mult…
Parsed Text Understates Vision-Language Models: From Below to Above Expert Agreement on Fine-Grained Facial Emotion
Tobias Hallmen, Fabian Deuser, Robin-Nico Kampa +2
EmoNet-Face-HQ is a benchmark of 2,500 generated portraits, each rated by four psychology experts on 40 emotion categories. It concludes that vision-language models (VLMs) on avera…
1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job?
Robin-Nico Kampa, Fabian Deuser, Anna Bößendörfer +2
Autonomous AI coding agents are becoming a core tool for ML practitioners in industry and research alike. Despite this growing adoption, no standardized benchmark exists to evaluat…
ViewSparsifier: Killing Redundancy in Multi-View Plant Phenotyping
Robin-Nico Kampa, Fabian Deuser, Konrad Habel +1
Plant phenotyping involves analyzing observable characteristics of plants to better understand their growth, health, and development. In the context of deep learning, this analysis…
Semantic Matters: Multimodal Features for Affective Analysis
Tobias Hallmen, Robin-Nico Kampa, Fabian Deuser +2
In this study, we present our methodology for two tasks: the Emotional Mimicry Intensity (EMI) Estimation Challenge and the Behavioural Ambivalence/Hesitancy (BAH) Recognition Chal…