61 citations · 118 across the 6 of their papers we have counts for
9 papers · 1 filter
Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision
Richard T. Marriott, Sami Romdhani, Liming Chen
Generative Adversarial Networks (GANs) are able to learn mappings between simple, relatively low-dimensional, random distributions and points on the manifold of realistic images in…
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition
Asim Jan, Huaxiong Ding, Hongying Meng +2
Meaningful facial parts can convey key cues for both facial action unit detection and expression prediction. Textured 3D face scan can provide both detailed 3D geometric shape and…
Discriminative Label Consistent Domain Adaptation
Lingkun Luo, Liming Chen, Ying lu +1
Domain adaptation (DA) is transfer learning which aims to learn an effective predictor on target data from source data despite data distribution mismatch between source and target.…
Brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure
Ying Lu, Liming Chen, Alexandre Saidi +1
Correctly estimating the discrepancy between two data distributions has always been an important task in Machine Learning. Recently, Cuturi proposed the Sinkhorn distance which mak…
Discriminative and Geometry Aware Unsupervised Domain Adaptation
Lingkun Luo, Liming Chen, Shiqiang Hu +2
Domain adaptation (DA) aims to generalize a learning model across training and testing data despite the mismatch of their data distributions. In light of a theoretical estimation o…
Improving Heterogeneous Face Recognition with Conditional Adversarial Networks
Wuming Zhang, Zhixin Shu, Dimitris Samaras +1
Heterogeneous face recognition between color image and depth image is a much desired capacity for real world applications where shape information is looked upon as merely involved…