4 citations · 7 across the 6 of their papers we have counts for
6 papers
Generation and Recombination for Multifocus Image Fusion with Free Number of Inputs
Huafeng Li, Dan Wang, Yuxin Huang +2
Multifocus image fusion is an effective way to overcome the limitation of optical lenses. Many existing methods obtain fused results by generating decision maps. However, such meth…
Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval
Huafeng Li, Shedan Yang, Yafei Zhang +2
Text-Pedestrian Image Retrieval aims to use the text describing pedestrian appearance to retrieve the corresponding pedestrian image. This task involves not only modality discrepan…
Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-Identification
Huafeng Li, Le Xu, Yafei Zhang +2
In visible-infrared video person re-identification (re-ID), extracting features not affected by complex scenes (such as modality, camera views, pedestrian pose, background, etc.) c…
Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor Image Segmentation
Yafei Zhang, Zhiyuan Li, Huafeng Li +1
For multi-modal magnetic resonance (MR) brain tumor image segmentation, current methods usually directly extract the discriminative features from input images for tumor sub-region…
Domain-adaptive Person Re-identification without Cross-camera Paired Samples
Huafeng Li, Yanmei Mao, Yafei Zhang +2
Existing person re-identification (re-ID) research mainly focuses on pedestrian identity matching across cameras in adjacent areas. However, in reality, it is inevitable to face th…
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
Xinyu Lin, Jinxing Li, Zeyu Ma +5
Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-IR) person re-identification (Re-ID) is achieved by projecting them into a common space, allowing person Re-I…