17 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Context Matters: Vision-Based Depression Detection Comparing Classical and Deep Approaches
Maneesh Bilalpur, Saurabh Hinduja, Sonish Sivarajkumar +4
The classical approach to detecting depression from vision emphasizes interpretable features, such as facial expression, and classifiers such as the Support Vector Machine (SVM). W…
cs.CV2016★ 17 cited
Modeling Spatial and Temporal Cues for Multi-label Facial Action Unit Detection
Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn
Facial action units (AUs) are essential to decode human facial expressions. Researchers have focused on training AU detectors with a variety of features and classifiers. However, s…