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
11 papers · 1 filter
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…
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…
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:…