38 citations · 95 across the 44 of their papers we have counts for
12 papers · 1 filter
BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image Fusion
Huafeng Li, Dayong Su, Qing Cai +1
If unaligned multimodal medical images can be simultaneously aligned and fused using a single-stage approach within a unified processing framework, it will not only achieve mutual…
PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition
ShuaiHeng Li, Qing Cai, Fan Zhang +5
Self-supervised learning is emerging in fine-grained visual recognition with promising results. However, existing self-supervised learning methods are often susceptible to irreleva…
Dual-task Mutual Reinforcing Embedded Joint Video Paragraph Retrieval and Grounding
Mengzhao Wang, Huafeng Li, Yafei Zhang +3
Video Paragraph Grounding (VPG) aims to precisely locate the most appropriate moments within a video that are relevant to a given textual paragraph query. However, existing methods…
Instruction-Driven Fusion of Infrared-Visible Images: Tailoring for Diverse Downstream Tasks
Zengyi Yang, Yafei Zhang, Huafeng Li +1
The primary value of infrared and visible image fusion technology lies in applying the fusion results to downstream tasks. However, existing methods face challenges such as increas…
Infrared-Assisted Single-Stage Framework for Joint Restoration and Fusion of Visible and Infrared Images under Hazy Conditions
Huafeng Li, Jiaqi Fang, Yafei Zhang +1
Infrared and visible (IR-VIS) image fusion has gained significant attention for its broad application value. However, existing methods often neglect the complementary role of infra…
Phrase Decoupling Cross-Modal Hierarchical Matching and Progressive Position Correction for Visual Grounding
Minghong Xie, Mengzhao Wang, Huafeng Li +3
Visual grounding has attracted wide attention thanks to its broad application in various visual language tasks. Although visual grounding has made significant research progress, ex…
Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration
Xiaoyan Yu, Shen Zhou, Huafeng Li +1
The use of a single image restoration framework to achieve multi-task image restoration has garnered significant attention from researchers. However, several practical challenges r…
Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging
Huafeng Li, Zhenmei Yang, Yafei Zhang +2
The reconstruction of high dynamic range (HDR) images from multi-exposure low dynamic range (LDR) images in dynamic scenes presents significant challenges, especially in preserving…
Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
Yafei Zhang, Shen Zhou, Huafeng Li
Recovering a clear image from a single hazy image is an open inverse problem. Although significant research progress has been made, most existing methods ignore the effect that dow…
UMCFuse: A Unified Multiple Complex Scenes Infrared and Visible Image Fusion Framework
Xilai Li, Xiaosong Li, Tianshu Tan +2
Infrared and visible image fusion has emerged as a prominent research area in computer vision. However, little attention has been paid to the fusion task in complex scenes, leading…
All-weather Multi-Modality Image Fusion: Unified Framework and 100k Benchmark
Xilai Li, Wuyang Liu, Xiaosong Li +3
Multi-modality image fusion (MMIF) combines complementary information from different image modalities to provide a comprehensive and objective interpretation of scenes. However, ex…
TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network
Yuchan Jie, Yushen Xu, Xiaosong Li +3
This study aims to address the problem of incomplete information in unimodal images for semantic segmentation and object detection tasks. Existing multimodal fusion methods suffer…