75 citations · 138 across the 4 of their papers we have counts for
7 papers
Geometric Scene Parsing with Hierarchical LSTM
Zhanglin Peng, Ruimao Zhang, Xiaodan Liang +2
This paper addresses the problem of geometric scene parsing, i.e. simultaneously labeling geometric surfaces (e.g. sky, ground and vertical plane) and determining the interaction r…
Attentive Contexts for Object Detection
Jianan Li, Yunchao Wei, Xiaodan Liang +4
Modern deep neural network based object detection methods typically classify candidate proposals using their interior features. However, global and local surrounding contexts that…
Semantic Object Parsing with Graph LSTM
Xiaodan Liang, Xiaohui Shen, Jiashi Feng +2
By taking the semantic object parsing task as an exemplar application scenario, we propose the Graph Long Short-Term Memory (Graph LSTM) network, which is the generalization of LST…
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Si Liu, Xiaodan Liang, Luoqi Liu +6
Both parametric and non-parametric approaches have demonstrated encouraging performances in the human parsing task, namely segmenting a human image into several semantic regions (e…
Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model
Xiaodan Liang, Qingxing Cao, Rui Huang +1
The aim of this study is to provide an automatic computational framework to assist clinicians in diagnosing Focal Liver Lesions (FLLs) in Contrast-Enhancement Ultrasound (CEUS). We…
Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models
Liang Lin, Yuanlu Xu, Xiaodan Liang +1
Although it has been widely discussed in video surveillance, background subtraction is still an open problem in the context of complex scenarios, e.g., dynamic backgrounds, illumin…