主题：Multi-source Information Perception and Fusion

时间：2022年5月4日9:00 （北京时间）

腾讯会议ID：915-237-158

IEEE/CAA JAS Symposium Series旨在为研究人员、学生和工程师提供一个讨论自动化科学与技术发展趋势和挑战的渠道。本次研讨会由哈尔滨工业大学和武汉大学联合主办，将会为大家带来在多源信息感知与融合的最新进展。

会议程序

9:00-9:10 开幕致辞（龚威 教授）

9:10-9:20 JAS介绍（欧彦 副编审）

9:20-10:00 特邀嘉宾：李树涛教授 高分辨高光谱遥感融合成像与智能识别

10:00-10:40 特邀嘉宾：韩琥研究员 非配对数据条件下的图像跨域跨模态生成

10:40-11:20 特邀嘉宾：Dr. Qi Wu 视觉与语言导航最新进展

11:20-12:00 特邀嘉宾：马佳义教授 面向实际应用需求的图像融合方法

13:30-13:45 论文分享：Glioma Segmentation-Oriented Multi-modal MR Image Fusion with Adversarial Learning

13:45-14:00 论文分享：CCP-GAN: Near-infrared and Visible Image Fusion Via a Color Characteristics Preserved GAN

14:00-14:15论文分享：Progressive Fusion Network Based on Infrared Light Field Equipment for Infrared Image Enhancement

14:15-14:30论文分享：SSL-AEIE: Self-Supervised Learning with Auto-Encoding and Information Exchange for Infrared and Visible Image Fusion

14:30-14:45论文分享：NormFuse: Infrared and Visible Image Fusion with Pixel-Adaptive Normalization

14:45-15:00论文分享：Sparse Tensor Prior for Hyperspectral, Multispectral, and Panchromatic Image Fusion

15:00-15:15论文分享：Dual-branch Multi-level Feature Aggregation Network for Pansharpening

15:15-15:30 论文分享：Contrastive Consensus Graph Learning for Multi-view Clustering

15:30-15:45论文分享：Geometric-Spectral Reconstruction Learning for Multi-Source Open-Set Classification with Hyperspectral and LiDAR Data

15:45-16:00论文分享：Differentiable Automatic Data Augmentation by Proximal Update for Medical Image Segmentation

16:00-16:15论文分享：Multi-attention Fusion and Fine-grained Alignment for Bidirectional Image-Sentence Retrieval in Remote Sensing

16:15-16:30 论文分享：Self-Supervised Entitiy Alignment based on Multi-modal Contrastive Learning

16:30-16:45 论文分享：Multiview Locally Linear Embedding for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery

16:45-17:00 论文分享：S2-Net: Self-supervision Guided Feature Representation Learning for Cross-Modality Images

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