The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Name-It: Naming and Detecting Faces in News Videos
IEEE MultiMedia
Greedy approximation algorithms for finding dense components in a graph
APPROX '00 Proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Face Detection
International Journal of Computer Vision
Leveraging context to resolve identity in photo albums
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Learning a Similarity Metric Discriminatively, with Application to Face Verification
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Multiple instance learning for labeling faces in broadcasting news video
Proceedings of the 13th annual ACM international conference on Multimedia
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Improving People Search Using Query Expansions
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Taking the bite out of automated naming of characters in TV video
Image and Vision Computing
Kernel Grassmannian distances and discriminant analysis for face recognition from image sets
Pattern Recognition Letters
Context-aware person identification in personal photo collections
IEEE Transactions on Multimedia - Special issue on integration of context and content
Character identification in feature-length films using global face-name matching
IEEE Transactions on Multimedia
Interesting faces: A graph-based approach for finding people in news
Pattern Recognition
PICTION: a system that uses captions to label human faces in newspaper photographs
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Cast2Face: character identification in movie with actor-character correspondence
Proceedings of the international conference on Multimedia
Improving face clustering using social context
Proceedings of the international conference on Multimedia
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Seeing people in social context: recognizing people and social relationships
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Journal of Machine Learning Research
Describable Visual Attributes for Face Verification and Image Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition from Caption-Based Supervision
International Journal of Computer Vision
Cross-Media Alignment of Names and Faces
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Unsupervised metric learning for face identification in TV video
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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Automatically naming faces in online social networks enables us to search for photos and build user face models. We consider two common weakly supervised settings where: (1) users are linked to photos, not to faces and (2) photos are not labeled but part of a user's album. The focus is on algorithms that scale up to an entire online social network. We extensively evaluate different graph-based strategies to label faces in both settings and consider dependencies. We achieve results on a par with a recent multi-person approach, but with 60 times less computation time on a set of 300K weakly labeled faces and 1.4M faces in user albums. A subset of the faces can be labeled with a speed-up of over three orders of magnitude.