Dr. Ye LUO (罗烨)
                                          
                                                               I work as a Research Fellow since October, 2013 in NUS, Singapore 
                                                  Before that, I was a PhD. student and supervised by Prof. Junsong Yuan 
                                                  and Dr. Qi Tian in School of Electrical and Electric Engineering, NTU, Singapore
            
                                                               Email: luoy0009 AT e DOT ntu DOT edu DOT sg
                                                                          kennyluo2008 AT hotmail DOT com
 
 
 
 
 
 
Research Interests:
Computer Vision, Machine Learning, Multimedia search and content/perceptual-based video analytics, mainly on object detection
 
 
 
Selected Publications (Full publications):

Conferences:
Ye Luo, Loong-Fah Cheong and An Tran
Actionness-assisted Recognition of Actions [PDF] [Project Page]
in Internation Conference on Computer Vision (ICCV), pp. 3244-3252, 2015.

Ye Luo, Loong-Fah Cheong and John-John Cabibihan
in Asia Conference on Computer Vision(ACCV) (3) 2014: 205-220 (accepted rate 27%).

Ye Luo, Junsong Yuan and Qi Tian
in ACM multimedia 2013 (MM), pp. 509-512. (short paper)

Ye Luo and Gangqiang Zhao
Thematic Saliency Detection using Spatial-Temporal Context
in Proc. Int’l Conf. on Computer Vision Workshop on Large-Scale Video Search and Mining (LSVSM’13), 2013.

Ye Luo, Junsong Yuan, Ping Xue and Qi Tian
Salient Region Detection and Its Application to Video Retargeting
IEEE Conf. on Multimedia Expo (ICME), pp. 1-6, 2011. (oral ) 
 
Asian Conf. on Computer Vision (ACCV), Vol. 3, pp. 396-408, 2010.   
 
Journals:
Ye Luo, Junsong Yuan and Jianwei Lu [Code]
Finding Spatio-temporal Salient Paths for Video Objects Discovery
Journal of Visual Communication and Image Representation,Vol 38, pp. 45-54, 2016.

Ye Luo, Junsong Yuan, Ping Xue and Qi Tian [ Project ]
Saliency Density Maximization for Efficient Visual Object Discovery
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), Vol. 21, pp. 1822-1834, 2011.

Academic Services

Reviewers for Signal Processing: Image Communication,Visual Computer of a Springer Journal, IEEE Signal Processing Letter, Neurocomputing, Computer Vision and Image Understanding, IEEE Access, ICME 2015, ICME 2014, ACCV 2010.