109 citations · 137 across the 4 of their papers we have counts for
4 papers
LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer
Lin-Zhuo Chen, Xuan-Yi Li, Deng-Ping Fan +3
Directly learning features from the point cloud has become an active research direction in 3D understanding. Existing learning-based methods usually construct local regions from th…
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric
Yujun Shi, Benben Liao, Guangyong Chen +3
The vulnerability to slight input perturbations is a worrying yet intriguing property of deep neural networks (DNNs). Despite many previous works studying the reason behind such ad…
A Simple Pooling-Based Design for Real-Time Salient Object Detection
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng +2
We solve the problem of salient object detection by investigating how to expand the role of pooling in convolutional neural networks. Based on the U-shape architecture, we first bu…
Structure-measure: A New Way to Evaluate Foreground Maps
Deng-Ping Fan, Ming-Ming Cheng, Yun Liu +2
Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the filed of salient object detection where the purpose is to accu…