6 citations · 18 across the 4 of their papers we have counts for
4 papers
PropagationNet: Propagate Points to Curve to Learn Structure Information
Xiehe Huang, Weihong Deng, Haifeng Shen +2
Deep learning technique has dramatically boosted the performance of face alignment algorithms. However, due to large variability and lack of samples, the alignment problem in uncon…
Metric Classification Network in Actual Face Recognition Scene
Jian Li, Yan Wang, Xiubao Zhang +2
In order to make facial features more discriminative, some new models have recently been proposed. However, almost all of these models use the traditional face verification method,…
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Tongtong Yuan, Weihong Deng, Jian Tang +2
Deep metric learning, which learns discriminative features to process image clustering and retrieval tasks, has attracted extensive attention in recent years. A number of deep metr…
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Binghui Chen, Weihong Deng
Deep metric learning has been widely applied in many computer vision tasks, and recently, it is more attractive in \emph{zero-shot image retrieval and clustering}(ZSRC) where a goo…