2 citations · 3 across the 11 of their papers we have counts for
16 papers
Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark
Qishun Wang, Yapeng Li, Zhengzheng Tu +2
RGB-Thermal (RGBT) Video Object Detection (VOD) has gained significant attention because of the limitations of conventional RGB-based VOD methods under challenging conditions, such…
Compositional-Degradation UAV Image Restoration: Conditional Decoupled MoE Network and A Benchmark
Jinquan Yan, Zhicheng Zhao, Zhengzheng Tu +3
UAV images are critical for applications such as large-area mapping, infrastructure inspection, and emergency response. However, in real-world flight environments, a single image i…
Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network
Kunpeng Wang, Keke Chen, Chenglong Li +2
Alignment-free RGB-Thermal (RGB-T) salient object detection (SOD) aims to achieve robust performance in complex scenes by directly leveraging the complementary information from una…
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…
Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance
Kunpeng Wang, Danying Lin, Chenglong Li +2
Although most existing multi-modal salient object detection (SOD) methods demonstrate effectiveness through training models from scratch, the limited multi-modal data hinders these…
Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection
Kunpeng Wang, Zhengzheng Tu, Chenglong Li +2
Multi-modal salient object detection (MSOD) aims to boost saliency detection performance by integrating visible sources with depth or thermal infrared ones. Existing methods genera…