326 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sun Yat-sen UniversityCN18 papers
- Carnegie Mellon UniversityUS5 papers
- Guangdong Province Key Laboratory of Information Security TechnologyCN2 papers
- Nanyang Technological UniversitySG2 papers
- Adobe Systems (United States)US1 paper
- Chinese Academy of SciencesCN1 paper
- Chinese University of Hong KongHK1 paper
- East China Normal UniversityCN1 paper
- Harbin Institute of TechnologyCN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Infineon Technologies (Singapore)SG1 paper
- Institute of Information EngineeringCN1 paper
19 papers
Defect engineering of ultrathin gallium nitride via electric fields for advanced electronic, magnetic, and gas sensing applications
Yujia Tian, Devesh R. Kripalani, Ming Xue +1
Scaling wide-band-gap semiconductors to the ultrathin limit offers a transformative pathway for power electronics, with gallium nitride (GaN) representing a cornerstone material in…
Evaluating the Efficacy of Skincare Product: A Realistic Short-Term Facial Pore Simulation
Ling Li, Bandara Dissanayake, Tatsuya Omotezako +8
Simulating the effects of skincare products on face is a potential new way to communicate the efficacy of skincare products in skin diagnostics and product recommendations. Further…
From Preference-Based to Multiobjective Sequential Decision-Making
Paul Weng
In this paper, we present a link between preference-based and multiobjective sequential decision-making. While transforming a multiobjective problem to a preference-based one is qu…
Finding Risk-Averse Shortest Path with Time-dependent Stochastic Costs
Dajian Li, Paul Weng, Orkun Karabasoglu
In this paper, we tackle the problem of risk-averse route planning in a transportation network with time-dependent and stochastic costs. To solve this problem, we propose an adapta…
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
Jun Guo, Hongyang Chao
We consider the compression artifacts reduction problem, where a compressed image is transformed into an artifact-free image. Recent approaches for this problem typically train a o…
Realization of Zero-Refractive-Index Lens with Ultralow Spherical Aberration
Xin-Tao He, Zhi-Zhen Huang, Ming-Li Chang +5
Optical complex materials offer unprecedented opportunity to engineer fundamental band dispersion which enables novel optoelectronic functionality and devices. Exploration of photo…
Robust Ensemble Clustering Using Probability Trajectories
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
Although many successful ensemble clustering approaches have been developed in recent years, there are still two limitations to most of the existing approaches. First, they mostly…
Distributed Security Constrained Economic Dispatch
M. Hadi Amini, R. Jaddivada, S. Mishra +1
In this paper, we investigate two decomposition methods for their convergence rate which are used to solve security constrained economic dispatch (SCED): 1) Lagrangian Relaxation (…
The SYSU System for the Interspeech 2015 Automatic Speaker Verification Spoofing and Countermeasures Challenge
Shitao Weng, Shushan Chen, Lei Yu +4
Many existing speaker verification systems are reported to be vulnerable against different spoofing attacks, for example speaker-adapted speech synthesis, voice conversion, play ba…
Deep Human Parsing with Active Template Regression
Xiaodan Liang, Si Liu, Xiaohui Shen +5
In this work, the human parsing task, namely decomposing a human image into semantic fashion/body regions, is formulated as an Active Template Regression (ATR) problem, where the n…
Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang, Liliang Zhang, Liang Lin +2
This paper investigates how to extract objects-of-interest without relying on hand-craft features and sliding windows approaches, that aims to jointly solve two sub-tasks: (i) rapi…
Clothing Co-Parsing by Joint Image Segmentation and Labeling
Wei Yang, Ping Luo, Liang Lin
This paper aims at developing an integrated system of clothing co-parsing, in order to jointly parse a set of clothing images (unsegmented but annotated with tags) into semantic co…
Deep Boosting: Layered Feature Mining for General Image Classification
Zhanglin Peng, Liang Lin, Ruimao Zhang +1
Constructing effective representations is a critical but challenging problem in multimedia understanding. The traditional handcraft features often rely on domain knowledge, limitin…
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…
Towards a solid solution of real-time fire and flame detection
Bo Jiang, Yongyi Lu, Xiying Li +1
Although the object detection and recognition has received growing attention for decades, a robust fire and flame detection method is rarely explored. This paper presents an empiri…
Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling
Liang Lin, Ruimao Zhang, Xiaohua Duan
This paper investigates a general framework to discover categories of unlabeled scene images according to their appearances (i.e., textures and structures). We jointly solve the tw…
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…
Discriminatively Trained And-Or Graph Models for Object Shape Detection
Liang Lin, Xiaolong Wang, Wei Yang +1
In this paper, we investigate a novel reconfigurable part-based model, namely And-Or graph model, to recognize object shapes in images. Our proposed model consists of four layers:…
Combining Multiple Clusterings via Crowd Agreement Estimation and Multi-Granularity Link Analysis
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
The clustering ensemble technique aims to combine multiple clusterings into a probably better and more robust clustering and has been receiving an increasing attention in recent ye…