In this paper, we explore the use of the diffusion geometry framework for the fusion of geometric and photometric information in local and global shape descriptors. Our construction is based on the definition of a diffusion process on the shape manifold embedded into a high-dimensional space where the embedding coordinates represent the photometric information. Experimental results show that such data fusion is useful in coping with different challenges of shape analysis where pure geometric and pure photometric methods fail.
Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion
Britton Chance Center for Biomedical Photonics（布里顿·钱斯生物医学光子学研究中心）；Wuhan National Laboratory for Optoelectronics（武汉光电国家研究中心）；MoE Key Laboratory for Biomedical Photonics（教育部生物医学光子学重点实验室）；Collaborative Innovation Center for Biomedical Engineering（生物医学工程协同创新中心）；School of Engineering Sciences, Huazhong University of Science and Technology（华中科技大学工程科学学院）
Beyond Strict Pairing: Arbitrarily Paired Training for High-Performance Infrared and Visible Image Fusion
School of Artificial Intelligence and Computer Science, Jiangnan University（江南大学人工智能与计算机科学学院）；Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey（Surrey 大学视觉、语音和信号处理中心）
BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation
Computer Aided Medical Procedures, TU Munich, Munich, Germany（慕尼黑技术大学计算机辅助医疗程序部）；Department of General, Visceral, and Transplantation Surgery, Hospital of the LMU Munich, Ludwig-Maximilians-Universität (LMU), Munich, Germany（慕尼黑路德维希-马克西米利安大学（LMU）普通外科、 visceral外科及移植外科部门）；Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA（哈佛医学院布里特妇女医院）
Coarse-to-Fine Non-Rigid Registration for Side-Scan Sonar Mosaicking
School of Marine Science and Technology, Northwestern Polytechnical University（海洋科学与技术学院，西北工业大学）；Research & Development Institute of Northwestern Polytechnical University（西北工业大学研发院）；Computer Vision and Robotics Research Institute (ViCOROB) of the University of Girona（加泰罗尼亚大学计算机视觉与机器人研究所（ViCOROB））
Bayesian Fully-Connected Tensor Network for Hyperspectral-Multispectral Image Fusion
School of Computer Science and Technology, Huazhong University of Science and Technology（华中科技大学计算机科学与技术学院）；School of Computer Science and Artificial Intelligence, Zhengzhou University（郑州大学计算机科学与人工智能学院）；Department of Computer Science, St. Francis Xavier University（圣弗朗西斯大学计算机科学系）
Region-Manipulated Fusion Networks for Pancreatitis Recognition
Nanjing University of Science and Technology（南京理工大学）；Jinling Hospital（金陵医院）；Medical School of Nanjing University（南京大学医学院）
这项工作首先尝试自动识别胰腺炎的CT扫描图像。然而，与传统的对象识别不同，由于局部患病区域的细粒度和非刚性外观变化，这种胰腺炎识别是具有挑战性的。为此，我们提出了一个定制的区域操纵融合网络（RMFN），以捕捉胰腺炎识别局部病变的关键特征。具体而言，为了有效地突出不可感知的病变区域，提出了一种新的区域操作的RMFN方案，通过不断地将多尺度局部信息聚合到特征图上来强制病变区域，同时削弱非病变区域。所提出的方案可以灵活地安装到现有的神经网络，如AlexNet和VGG。为了评估所提出的方法的性能，一个真实的CT图像数据库有关胰腺炎收集医院\footnote{The database is available later}。在该数据库上的实验结果表明了该方法在胰腺炎识别中的有效性。
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints
Universidade Federal de Minas Gerais（米纳斯吉拉斯联邦大学）；Google Research（谷歌研究院）；Université de Bourgogne（勃艮第大学）；Université de Lorraine（洛林大学）；Inria（法国国家信息与自动化研究所）；Microsoft（微软）
Diverse via bounded Agreement: Geometric Regularization for Multimodal Fusion
Department of Informatics University of Bern（伯尔尼大学信息学院）；College of Computing and Data Science Nanyang Technological University（南洋理工大学计算机与数据科学学院）；School of Software Engineering Xi’an Jiaotong University（西安交通大学软件工程学院）
NIMBLE: A Non-rigid Hand Model with Bones and Muscles
ShanghaiTech University（上海科技大学）；Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences（中国科学院上海微系统与信息技术研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Deemos Technology（迪莫斯科技）；Clemson University（克莱姆森大学）；DGene Digital Technology（叠境数字科技）
