124 citations · 187 across the 6 of their papers we have counts for
6 papers
Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene Labeling
Abrar H. Abdulnabi, Bing Shuai, Zhen Zuo +2
This paper proposes a new method called Multimodal RNNs for RGB-D scene semantic segmentation. It is optimized to classify image pixels given two input sources: RGB color channels…
Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association
Bing Wang, Li Wang, Bing Shuai +4
In this paper, we study the challenging problem of multi-object tracking in a complex scene captured by a single camera. Different from the existing tracklet association-based trac…
Scene Parsing with Integration of Parametric and Non-parametric Models
Bing Shuai, Zhen Zuo, Gang Wang +1
We adopt Convolutional Neural Networks (CNNs) to be our parametric model to learn discriminative features and classifiers for local patch classification. Based on the occurrence fr…
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks
Zhen Zuo, Bing Shuai, Gang Wang +3
Existing deep convolutional neural networks (CNNs) have shown their great success on image classification. CNNs mainly consist of convolutional and pooling layers, both of which ar…
DAG-Recurrent Neural Networks For Scene Labeling
Bing Shuai, Zhen Zuo, Gang Wang +1
In image labeling, local representations for image units are usually generated from their surrounding image patches, thus long-range contextual information is not effectively encod…
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…