5 citations · 11 across the 3 of their papers we have counts for
5 papers
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos
Lifang Wu, Zhou Yang, Qi Wang +4
Many semantic events in team sport activities e.g. basketball often involve both group activities and the outcome (score or not). Motion patterns can be an effective means to ident…
Ontology Based Global and Collective Motion Patterns for Event Classification in Basketball Videos
Lifang Wu, Zhou Yang, Jiaoyu He +4
In multi-person videos, especially team sport videos, a semantic event is usually represented as a confrontation between two teams of players, which can be represented as collectiv…
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi, Liheng Zhang, Chang Wen Chen +1
The learning of Transformation-Equivariant Representations (TERs), which is introduced by Hinton et al. \cite{hinton2011transforming}, has been considered as a principle to reveal…
DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)
Shuang Ma, Jianlong Fu, Chang Wen Chen +1
Unsupervised image translation, which aims in translating two independent sets of images, is challenging in discovering the correct correspondences without paired data. Existing wo…
D-Sempre: Learning Deep Semantic-Preserving Embeddings for User interests-Social Contents Modeling
Shuang Ma, Chang Wen Chen
Exponential growth of social media consumption demands effective user interests-social contents modeling for more personalized recommendation and social media summarization. Howeve…