449 citations · 567 across the 4 of their papers we have counts for
4 papers
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
Liang Lin, Yiming Gao, Ke Gong +2
Prior highly-tuned image parsing models are usually studied in a certain domain with a specific set of semantic labels and can hardly be adapted into other scenarios (e.g., sharing…
Deep Feature Learning with Relative Distance Comparison for Person Re-identification
Shengyong Ding, Liang Lin, Guangrun Wang +1
Identifying the same individual across different scenes is an important yet difficult task in intelligent video surveillance. Its main difficulty lies in how to preserve similarity…
A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition
Liang Lin, Keze Wang, Wangmeng Zuo +3
Understanding human activity is very challenging even with the recently developed 3D/depth sensors. To solve this problem, this work investigates a novel deep structured model, whi…
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification
Ruimao Zhang, Liang Lin, Rui Zhang +2
Extracting informative image features and learning effective approximate hashing functions are two crucial steps in image retrieval . Conventional methods often study these two ste…