30 citations · 42 across the 2 of their papers we have counts for
4 papers
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Rui Huang, Yixuan Li
Detecting out-of-distribution (OOD) inputs is a central challenge for safely deploying machine learning models in the real world. Existing solutions are mainly driven by small data…
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
Ruibing Hou, Hong Chang, Bingpeng Ma +2
In this paper, we present an efficient spatial-temporal representation for video person re-identification (reID). Firstly, we propose a Bilateral Complementary Network (BiCnet) for…
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…
An Expressive Deep Model for Human Action Parsing from A Single Image
Zhujin Liang, Xiaolong Wang, Rui Huang +1
This paper aims at one newly raising task in vision and multimedia research: recognizing human actions from still images. Its main challenges lie in the large variations in human p…