244 citations · 458 across the 16 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…
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark
Kunpeng Wang, Danying Lin, Chenglong Li +2
RGB and Thermal (RGBT) Salient Object Detection (SOD) aims to achieve high-quality saliency prediction by exploiting the complementary information of visible and thermal image pair…
Unified-modal Salient Object Detection via Adaptive Prompt Learning
Kunpeng Wang, Chenglong Li, Zhengzheng Tu +2
Existing single-modal and multi-modal salient object detection (SOD) methods focus on designing specific architectures tailored for their respective tasks. However, developing comp…
Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark
Zhengzheng Tu, Qishun Wang, Hongshun Wang +2
Recently, many breakthroughs are made in the field of Video Object Detection (VOD), but the performance is still limited due to the imaging limitations of RGB sensors in adverse il…
TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network
Zhengyi Liu, Yuan Wang, Zhengzheng Tu +2
Salient object detection is the pixel-level dense prediction task which can highlight the prominent object in the scene. Recently U-Net framework is widely used, and continuous con…
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
Zhengzheng Tu, Yan Ma, Zhun Li +3
Salient object detection in complex scenes and environments is a challenging research topic. Most works focus on RGB-based salient object detection, which limits its performance of…
Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection
Zhengzheng Tu, Zhun Li, Chenglong Li +2
RGB-thermal salient object detection (SOD) aims to segment the common prominent regions of visible image and corresponding thermal infrared image that we call it RGBT SOD. Existing…
ML: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking
Zhengzheng Tu, Chun Lin, Chenglong Li +2
Classifying the confusing samples in the course of RGBT tracking is a quite challenging problem, which hasn't got satisfied solution. Existing methods only focus on enlarging the b…
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…
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…