7 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…
UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification
Xixi Wan, Aihua Zheng, Bo Jiang +3
Multi-modal object Re-IDentification (ReID) has gained considerable attention with the goal of retrieving specific targets across cameras using heterogeneous visual data sources. A…
ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification
Shihao Li, Chenglong Li, Aihua Zheng +2
Multi-spectral object re-identification (ReID) brings a new perception perspective for smart city and intelligent transportation applications, effectively addressing challenges fro…
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…
Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset
Lei Liu, Mengya Zhang, Cheng Li +2
Visual tracking often faces challenges such as invalid targets and decreased performance in low-light conditions when relying solely on RGB image sequences. While incorporating add…