300 citations · 1.3k across the 36 of their papers we have counts for
7 papers · 1 filter
Edge-guided Non-local Fully Convolutional Network for Salient Object Detection
Zhengzheng Tu, Yan Ma, Chenglong Li +2
Fully Convolutional Neural Network (FCN) has been widely applied to salient object detection recently by virtue of high-level semantic feature extraction, but existing FCN based me…
Learning Compact Target-Oriented Feature Representations for Visual Tracking
Chenglong Li, Yan Huang, Liang Wang +2
Many state-of-the-art trackers usually resort to the pretrained convolutional neural network (CNN) model for correlation filtering, in which deep features could usually be redundan…
Dense Feature Aggregation and Pruning for RGBT Tracking
Yabin Zhu, Chenglong Li, Bin Luo +2
How to perform effective information fusion of different modalities is a core factor in boosting the performance of RGBT tracking. This paper presents a novel deep fusion algorithm…
Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation
Chenglong Li, Wei Xia, Yan Yan +2
Despite much research progress in image semantic segmentation, it remains challenging under adverse environmental conditions caused by imaging limitations of visible spectrum. Whil…
Multi-Adapter RGBT Tracking
Chenglong Li, Andong Lu, Aihua Zheng +2
The task of RGBT tracking aims to take the complementary advantages from visible spectrum and thermal infrared data to achieve robust visual tracking, and receives more and more at…
RGB-T Image Saliency Detection via Collaborative Graph Learning
Zhengzheng Tu, Tian Xia, Chenglong Li +3
Image saliency detection is an active research topic in the community of computer vision and multimedia. Fusing complementary RGB and thermal infrared data has been proven to be ef…