1.4k citations
- University of Illinois Urbana-ChampaignUS28 papers
- Nanyang Technological UniversitySG16 papers
- National University of SingaporeSG12 papers
- Digital Science (United States)US8 papers
- Singapore University of Technology and DesignSG8 papers
- Agency for Science, Technology and ResearchSG5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Hamad bin Khalifa UniversityQA4 papers
- Institute for Infocomm ResearchSG4 papers
- Chinese Academy of SciencesCN3 papers
- ShanghaiTech UniversityCN3 papers
- Sun Yat-sen UniversityCN3 papers
8 papers · 2 filters
Video Tracking Using Learned Hierarchical Features
Li Wang, Ting Liu, Gang Wang +2
In this paper, we propose an approach to learn hierarchical features for visual object tracking. First, we offline learn features robust to diverse motion patterns from auxiliary v…
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Dan Xu, Elisa Ricci, Yan Yan +2
We present a novel unsupervised deep learning framework for anomalous event detection in complex video scenes. While most existing works merely use hand-crafted appearance and moti…
Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification
Zhen Zuo, Gang Wang, Bing Shuai +2
In order to encode the class correlation and class specific information in image representation, we propose a new local feature learning approach named Deep Discriminative and Shar…
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis
Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian +5
Studying free-standing conversational groups (FCGs) in unstructured social settings (e.g., cocktail party ) is gratifying due to the wealth of information available at the group (m…
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence
Keze Wang, Liang Lin, Jiangbo Lu +2
Driven by recent vision and graphics applications such as image segmentation and object recognition, computing pixel-accurate saliency values to uniformly highlight foreground obje…
Weakly Supervised Fine-Grained Image Categorization
Yu Zhang, Xiu-shen Wei, Jianxin Wu +4
In this paper, we categorize fine-grained images without using any object / part annotation neither in the training nor in the testing stage, a step towards making it suitable for…