Conferences

Human-centered data are extremely widespread and have been intensely investigated by researchers belonging to even very different fields, including computer vision, machine learning, and artificial intelligence. These research efforts are motivated by the several highly informative aspects of humans that can be investigated, ranging from corporal elements (e.g., bodies, faces, hands, anthropometric measurements) to emotions and outward appearance (e.g., human garments and accessories).

We encourage submissions from all areas of computer vision, focusing on the analysis of humans. More general contributions such as novel theories, frameworks, architectures, and datasets are also welcome. The topics of interest include but are not limited to:

Human body

• People detection and tracking
• 2D/3D human pose estimation
• Action and gesture recognition
• Anthropometric measurement estimation
• Gait analysis
• Person re-identification
• 3D body reconstruction

Human face

• Facial landmarks detection
• Head pose estimation
• Facial expression and emotion recognition

Outward appearance

• Garment-based virtual try-on
• Human-centered image and video synthesis
• Generative clothing
• Human clothing and attribute recognition
• Fashion image manipulation
• Outfit recommendation

Human-centered data

• Novel datasets with human data
• Fairness and biases in human analysis
• Privacy preserving and data anonymization
• First-person vision for human behavior understanding
• Multimodal data fusion for human analysis
• Computational issues in human analysis architectures

Biometrics

• Face recognition and verification
• Fingerprint and iris recognition
• Morphing attack detection

https://sites.google.com/view/t-cap2021/home-page