6 citations · 8 across the 7 of their papers we have counts for
7 papers
SAMSOD: Rethinking SAM Optimization for RGB-T Salient Object Detection
Zhengyi Liu, Xinrui Wang, Xianyong Fang +2
RGB-T salient object detection (SOD) aims to segment attractive objects by combining RGB and thermal infrared images. To enhance performance, the Segment Anything Model has been fi…
LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection
Zhengyi Liu, Longzhen Wang, Xianyong Fang +2
A light field camera can reconstruct 3D scenes using captured multi-focus images that contain rich spatial geometric information, enhancing applications in stereoscopic photography…
SSFam: Scribble Supervised Salient Object Detection Family
Zhengyi Liu, Sheng Deng, Xinrui Wang +3
Scribble supervised salient object detection (SSSOD) constructs segmentation ability of attractive objects from surroundings under the supervision of sparse scribble labels. For th…
Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning
Linbo Wang, Jing Wu, Xianyong Fang +3
Recent studies of two-view correspondence learning usually establish an end-to-end network to jointly predict correspondence reliability and relative pose. We improve such a framew…
Scribble-Supervised RGB-T Salient Object Detection
Zhengyi Liu, Xiaoshen Huang, Guanghui Zhang +3
Salient object detection segments attractive objects in scenes. RGB and thermal modalities provide complementary information and scribble annotations alleviate large amounts of hum…
Viewpoint Selection for Photographing Architectures
Jingwu He, Linbo Wang, Wenzhe Zhou +3
This paper studies the problem of how to choose good viewpoints for taking photographs of architectures. We achieve this by learning from professional photographs of world famous l…