12 papers
Different Defects, Different Effects: A Controlled Audit of Face Recognition Training Data
Ana Dias, João Ribeiro Pinto, Hugo Proença +1
The development of face recognition has been strongly supported by the availability of large-scale training datasets. Among them, MS-Celeb-1M has played an important role by provid…
Generalization Under Scrutiny: Cross-Domain Detection Progresses, Pitfalls, and Persistent Challenges
Saniya M. Deshmukh, Kailash A. Hambarde, Hugo Proença
Object detection models trained on a source domain often exhibit significant performance degradation when deployed in unseen target domains, due to various kinds of variations, suc…
Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge
Sharayu Nilesh Deshmukh, Kailash A. Hambarde, Joana C. Costa +2
Current DeepFake detection scenarios are mostly binary, yet data manipulation can vary across audio, video, or both, whose variability is not captured in binary settings. Four-clas…
The Good, the Better, and the Best: Improving the Discriminability of Face Embeddings through Attribute-aware Learning
Ana Dias, João Ribeiro Pinto, Hugo Proença +1
Despite recent advances in face recognition, robust performance remains challenging under large variations in age, pose, and occlusion. A common strategy to address these issues is…
SRL-MAD: Structured Residual Latents for One-Class Morphing Attack Detection
Diogo J. Paulo, Hugo Proença, João C. Neves
Face morphing attacks represent a significant threat to biometric systems as they allow multiple identities to be combined into a single face. While supervised morphing attack dete…
Rectifying Geometry-Induced Similarity Distortions for Real-World Aerial-Ground Person Re-Identification
Kailash A. Hambarde, Hugo Proença
Aerial-ground person re-identification (AG-ReID) is fundamentally challenged by extreme viewpoint and distance discrepancies between aerial and ground cameras, which induce severe…
FD-MAD: Frequency-Domain Residual Analysis for Face Morphing Attack Detection
Diogo J. Paulo, Hugo Proença, João C. Neves
Face morphing attacks present a significant threat to face recognition systems used in electronic identity enrolment and border control, particularly in single-image morphing attac…
When Gender is Hard to See: Multi-Attribute Support for Long-Range Recognition
Nzakiese Mbongo, Kailash A. Hambarde, Hugo Proença
Accurate gender recognition from extreme long-range imagery remains a challenging problem due to limited spatial resolution, viewpoint variability, and loss of facial cues. For suc…
Seeing Across Time and Views: Multi-Temporal Cross-View Learning for Robust Video Person Re-Identification
Md Rashidunnabi, Kailash A. Hambarde, Vasco Lopes +2
Video-based person re-identification (ReID) in cross-view domains (for example, aerial-ground surveillance) remains an open problem because of extreme viewpoint shifts, scale dispa…
AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results
Kien Nguyen, Clinton Fookes, Sridha Sridharan +20
Person re-identification (ReID) across aerial and ground vantage points has become crucial for large-scale surveillance and public safety applications. Although significant progres…
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey
Md Rashidunnabi, Kailash Hambarde, Hugo Proença
Video-based person re-identification (Re-ID) remains brittle in real-world deployments despite impressive benchmark performance. Most existing models rely on superficial correlatio…
DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
Kailash A. Hambarde, Nzakiese Mbongo, Pavan Kumar MP +8
Person reidentification (ReID) technology has been considered to perform relatively well under controlled, ground-level conditions, but it breaks down when deployed in challenging…