A support vector method for multivariate performance measures
ICML '05 Proceedings of the 22nd international conference on Machine learning
Structured Prediction, Dual Extragradient and Bregman Projections
The Journal of Machine Learning Research
Correlative multi-label video annotation
Proceedings of the 15th international conference on Multimedia
Hidden Conditional Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Large margin training for hidden Markov models with partially observed states
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision
Optimizing complex loss functions in structured prediction
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Hi, magic closet, tell me what to wear!
Proceedings of the 20th ACM international conference on Multimedia
Learning human interaction by interactive phrases
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Latent hough transform for object detection
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Attributes for classifier feedback
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Learning hybrid part filters for scene recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Augmented attribute representations
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
What makes a good detector? --- structured priors for learning from few examples
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
View-Invariant action recognition using latent kernelized structural SVM
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Recognizing complex events using large margin joint low-level event model
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Unsupervised learning of discriminative relative visual attributes
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Enhanced representation and multi-task learning for image annotation
Computer Vision and Image Understanding
Personalized image recommendation and retrieval via latent SVM based model
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
We are not equally negative: fine-grained labeling for multimedia event detection
Proceedings of the 21st ACM international conference on Multimedia
"Wow! you are so beautiful today!"
Proceedings of the 21st ACM international conference on Multimedia
Editor's Choice Article: A survey of approaches and trends in person re-identification
Image and Vision Computing
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We present a discriminatively trained model for joint modelling of object class labels (e.g. "person", "dog", "chair", etc.) and their visual attributes (e.g. "has head", "furry", "metal", etc.). We treat attributes of an object as latent variables in our model and capture the correlations among attributes using an undirected graphical model built from training data. The advantage of our model is that it allows us to infer object class labels using the information of both the test image itself and its (latent) attributes. Our model unifies object class prediction and attribute prediction in a principled framework. It is also flexible enough to deal with different performance measurements. Our experimental results provide quantitative evidence that attributes can improve object naming.