Object detection using strongly-supervised deformable part models
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Interactive facial feature localization
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Continuous regression for non-rigid image alignment
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Hierarchical On-line Appearance-Based Tracking for 3D head pose, eyebrows, lips, eyelids and irises
Image and Vision Computing
Face parts localization using structured-output regression forests
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Generic active appearance models revisited
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Visual object detection with deformable part models
Communications of the ACM
Image and Vision Computing
eHeritage of shadow puppetry: creation and manipulation
Proceedings of the 21st ACM international conference on Multimedia
Emotion recognition in the wild challenge 2013
Proceedings of the 15th ACM on International conference on multimodal interaction
Emotion recognition with boosted tree classifiers
Proceedings of the 15th ACM on International conference on multimodal interaction
Multiple kernel learning for emotion recognition in the wild
Proceedings of the 15th ACM on International conference on multimodal interaction
Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP
Proceedings of the 15th ACM on International conference on multimodal interaction
Combining modality specific deep neural networks for emotion recognition in video
Proceedings of the 15th ACM on International conference on multimodal interaction
Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary
Proceedings of the 15th ACM on International conference on multimodal interaction
Why is facial expression analysis in the wild challenging?
Proceedings of the 2013 on Emotion recognition in the wild challenge and workshop
Facing reality: an industrial view on large scale use of facial expression analysis
Proceedings of the 2013 on Emotion recognition in the wild challenge and workshop
Multi-modal social signal analysis for predicting agreement in conversation settings
Proceedings of the 15th ACM on International conference on multimodal interaction
Detecting People Looking at Each Other in Videos
International Journal of Computer Vision
Image and Vision Computing
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We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of trees with a shared pool of parts; we model every facial landmark as a part and use global mixtures to capture topological changes due to viewpoint. We show that tree-structured models are surprisingly effective at capturing global elastic deformation, while being easy to optimize unlike dense graph structures. We present extensive results on standard face benchmarks, as well as a new “in the wild” annotated dataset, that suggests our system advances the state-of-the-art, sometimes considerably, for all three tasks. Though our model is modestly trained with hundreds of faces, it compares favorably to commercial systems trained with billions of examples (such as Google Picasa and face.com).