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8 papers · 2 filters
A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition
Shuangyan Miao, Yonghong Hou, Zhimin Gao +2
This paper proposes a new graph convolutional operator called central difference graph convolution (CDGC) for skeleton based action recognition. It is not only able to aggregate no…
Contrastive Proposal Extension with LSTM Network for Weakly Supervised Object Detection
Pei Lv, Suqi Hu, Tianran Hao
Weakly supervised object detection (WSOD) has attracted more and more attention since it only uses image-level labels and can save huge annotation costs. Most of the WSOD methods u…
Locality Relationship Constrained Multi-view Clustering Framework
Xiangzhu Meng, Wei Wei, Wenzhe Liu
In most practical applications, it's common to utilize multiple features from different views to represent one object. Among these works, multi-view subspace-based clustering has g…
User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
Pei Lv, Jianqi Fan, Xixi Nie +5
Personalized image aesthetic assessment (PIAA) has recently become a hot topic due to its usefulness in a wide variety of applications such as photography, film and television, e-c…
The Labeled Multiple Canonical Correlation Analysis for Information Fusion
Lei Gao, Rui Zhang, Lin Qi +2
The objective of multimodal information fusion is to mathematically analyze information carried in different sources and create a new representation which will be more effectively…
Online Behavioral Analysis with Application to Emotion State Identification
Lei Gao, Lin Qi, Ling Guan
In this paper, we propose a novel discriminative model for online behavioral analysis with application to emotion state identification. The proposed model is able to extract more d…