387 citations · 2k across the 64 of their papers we have counts for
5 papers · 1 filter
Traffic Flow Forecasting Using a Spatio-Temporal Bayesian Network Predictor
Shiliang Sun, Changshui Zhang, Yi Zhang
A novel predictor for traffic flow forecasting, namely spatio-temporal Bayesian network predictor, is proposed. Unlike existing methods, our approach incorporates all the spatial a…
An In-field Automatic Wheat Disease Diagnosis System
Jiang Lu, Jie Hu, Guannan Zhao +2
Crop diseases are responsible for the major production reduction and economic losses in agricultural industry world- wide. Monitoring for health status of crops is critical to cont…
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu, Jianguo Li, Zhiqiang Shen +3
The deployment of deep convolutional neural networks (CNNs) in many real world applications is largely hindered by their high computational cost. In this paper, we propose a novel…
Zero-Shot Learning by Generating Pseudo Feature Representations
Jiang Lu, Jin Li, Ziang Yan +1
Zero-shot learning (ZSL) is a challenging task aiming at recognizing novel classes without any training instances. In this paper we present a simple but high-performance ZSL approa…
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm
Ziang Yan, Jian Liang, Weishen Pan +2
Object detection when provided image-level labels instead of instance-level labels (i.e., bounding boxes) during training is an important problem in computer vision, since large sc…