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Recent advances in convolutional neural networks
Understanding images of groups of people
In many social settings, images of groups of people are captured. The structure of this group provides meaningful context for reasoning about individuals in the group, and about the structure of the
iCoseg: Interactive co-segmentation with intelligent scribble guidance
iCoseg, an automatic recommendation system that intelligently recommends where the user should scribble next, is proposed, and users following these recommendations can achieve good quality cutouts with significantly lower time and effort than exhaustively examining all cutouts.
Towards computational models of kinship verification
This work conducts a controlled online search to collect frontal face images of 150 pairs of public figures and celebrities, along with images of their parents or children, and proposes and evaluates a set of low-level image features for the challenge of kinship verification.
Video-based face recognition using adaptive hidden Markov models
This paper proposes to use adaptive hidden Markov models (HMM) to perform video-based face recognition and shows that the proposed algorithm results in better performance than using majority voting of image-based recognition results.
A mixed bag of emotions: Model, predict, and transfer emotion distributions
It is shown through psychovisual studies that different people have different emotional reactions to the same image, which is a strong and novel departure from previous work that only records and predicts a single dominant emotion for each image.
Image retrieval with geometry-preserving visual phrases
This paper proposes an approach that can encode more spatial information into BoV representation and that is efficient enough to be applied to large-scale databases and can be integrated to the min-hash method to improve its retrieval accuracy.
Clothing cosegmentation for recognizing people
This work analyzes the mutual information between pixel locations near the face and the identity of the person to learn a global clothing mask and introduces a publicly available consumer image collection where each individual is identified.
Aesthetic Visual Quality Assessment of Paintings
A group of methods to extract features to represent both the global characteristics and local characteristics of a painting are designed, which can classify high-quality and low-quality paintings with performance comparable to humans.
Kinship classification by modeling facial feature heredity
A novel framework for recognizing kinship by modeling this problem as that of reconstructing the query face from a mixture of parts from a set of families, and achieves state-of-the-art family classification performance.