60 citations · 71 across the 4 of their papers we have counts for
4 papers
Pyramid Feature Attention Network for Saliency detection
Ting Zhao, Xiangqian Wu
Saliency detection is one of the basic challenges in computer vision. How to extract effective features is a critical point for saliency detection. Recent methods mainly adopt inte…
TCDCaps: Visual Tracking via Cascaded Dense Capsules
Ding Ma, Xiangqian Wu
The critical challenge in tracking-by-detection framework is how to avoid drift problem during online learning, where the robust features for a variety of appearance changes are di…
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
Youbao Tang, Xiangqian Wu
This paper proposes a novel saliency detection method by combining region-level saliency estimation and pixel-level saliency prediction with CNNs (denoted as CRPSD). For pixel-leve…
Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection
Youbao Tang, Xiangqian Wu, Wei Bu
This paper proposes a novel saliency detection method by developing a deeply-supervised recurrent convolutional neural network (DSRCNN), which performs a full image-to-image salien…