We (Abhijit Das, Mayank Vatsa, Richa Singh, Arun Ross, Vitomir Štruc, Antitza Dantcheva, Ph.D. and Raghavendra Ramachandra) are organising the 1st Computer Vision for Biometrics, Identity & Behaviour (CV4BIOM) workshop at ICCV 2025.
Submission deadline: 29 June 2025
Decision: 11 July 2025
All accepted paper in the workshops will be publish in the ICCV workshop proceedings:
ICCVW will follow only include works longer than 4 pages and up to 8 pages not including references.
***********The best-reviewed paper from the workshop will be invited to submit extended work to the IEEE TBIOM SPECIAL ISSUE on Best Reviewed Papers from ICCV 2025 Biometrics.***************
Topics of interest, but not limited to:
• Biometrics & Identity: Technologies, Applications, and Challenges:
– Biometric Modalities and Sensors: Face, fingerprint, ear, eye (iris, retina), vein pat-
terns, palm, gait, and emerging biometric traits.
– Biometric Processing and Computation: Template generation, feature extraction,
matching algorithms, and dataset baselines.
– Multi-Biometrics and Fusion: Information fusion, normalization techniques, machine
learning-based integration, and theoretical models.
– Privacy, Security and Bias: Bias mitigation, privacy-preserving techniques, security
assessments, and adversarial robustness in biometric systems.
– Forensic and Law Enforcement Applications: Biometrics in forensics, crime investi-
gation, and security assessment.
– Biometrics in Technology and Industry: Mobile and wearable devices, banking, IoT,
large-scale identity management, and biometric authentication standards.
– Emerging Challenges and Ethical Considerations: Digital data forensics, biometric
deepfakes, synthetic realities, ethical, social, and legal issues in biometric adoption.
• Behavior Understanding & Applications:
– Multimodal Behavior Modeling: Human and animal behavior analysis, social interac-
tions, empathy, and emotional intelligence.
– Generative and Machine Learning Approaches: Advanced learning models for be-
havior prediction and synthesis.
– Sensor Technologies and Data Fusion: Multisensory solutions, information fusion tech-
niques, and integration for behavior analysis.
– Datasets and Benchmarks: Standardized datasets and evaluation metrics for behavior
recognition and prediction.
– Attention and Perception Analysis: Visual attention, visual saliency, and cognitive
modeling.
– Assistive and Inclusive Technologies: Applications for the visually and hearing im-
paired, sign language recognition, and assistive living solutions.
– Personalized and Health-Centric Applications: Monitoring for aging populations,
child development, and quality-of-life technologies.
– Egocentric and First-Person Vision: Wearable vision-based applications for personal-
ized assistance and behaviour tracking.