111 citations · 148 across the 7 of their papers we have counts for
5 papers · 1 filter
Context-aware Cross-level Fusion Network for Camouflaged Object Detection
Yujia Sun, Geng Chen, Tao Zhou +2
Camouflaged object detection (COD) is a challenging task due to the low boundary contrast between the object and its surroundings. In addition, the appearance of camouflaged object…
Learning Synergistic Attention for Light Field Salient Object Detection
Yi Zhang, Geng Chen, Qian Chen +5
We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with…
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration
Hong-Bo Bi, Zi-Qi Liu, Kang Wang +3
Saliency detection based on the complementary information from RGB images and depth maps has recently gained great popularity. In this paper, we propose Complementary Attention and…
Enhanced Information Fusion Network for Crowd Counting
Geng Chen, Peirong Guo
In recent years, crowd counting, a technique for predicting the number of people in an image, becomes a challenging task in computer vision. In this paper, we propose a cross-colum…
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis
Tao Zhou, Huazhu Fu, Geng Chen +2
Magnetic resonance imaging (MRI) is a widely used neuroimaging technique that can provide images of different contrasts (i.e., modalities). Fusing this multi-modal data has proven…