MLSP-P27: Learning on Graphs and Structured Data
Poster
Wed, 6 May, 14:00 - 16:00
Location: Poster Area 5
Session Type: Poster
Track: Machine Learning for Signal Processing [ML]
Click the to view the manuscript on IEEE Xplore Open Preview

MLSP-P27.1: BEYOND HUMAN SKELETONS: PROMPT-GUIDED GRAPH MATCHING FOR MULTI-LIMBED POSE ESTIMATION IN ARTISTIC IMAGERY

yukai xian, Yurui Lee, Yunjie Xiang, Te Shen, Dingguo Gao, Tibet University, China

MLSP-P27.2: MULTI-SCALE FREQUENCY PERCEPTION ENABLED SELECTIVE STATE-SPACE AND FEATURE PYRAMID COLLABORATIVE METHOD FOR SMALL OBJECT DETECTION

Wenbo Gao, Yuehuan Wang, Ruonan Wei, Yuntao Wang, National Key Laboratory of Intelligent Processing Technology for Multi-spectral Information, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, China., China

MLSP-P27.3: DocLayout: Elevating the Role of Complex Layout Understanding in Document Visual Question Answering

Jinxu Zhang, Yongqi Yu, Qiyuan Fan, Yuqi Wang, Haoxuan Zhu, Haofeng Wang, Yu Zhang, Harbin Institute of Technology, China

MLSP-P27.4: SDRTRANS-FUSE: IMAGE FUSION METHOD BASED ON DEPTHWISE SEPARABLE CONVOLUTION-ENHANCED TRANSFORMER

Yajie Wang, Jingyi Yang, Yanyan Wu, Feng Gu, Song Liu, Shengyang Aerospace University, China

MLSP-P27.5: DSR-REC: ENHANCING GENERATIVE RECOMMENDATION THROUGH DYNAMIC EXPERT SELECTION AND SEMANTIC ID REDIRECTION

Hailong Luo, Zhengzhou University, China; Yunjia Qi, University of Oxford, United Kingdom of Great Britain and Northern Ireland; Hongyong Jia, Zhengzhou University, China; Wei Zhao, Songshan Laboratory, China

MLSP-P27.6: BOUNDARY-ENHANCED VISION MAMBA U-NET FOR MEDICAL IMAGE SEGMENTATION

Jiaxing Liang, Qingzeng Song, Yongjiang Xue, Tiangong University, China

MLSP-P27.7: Chemical Sight Net: Incorporating Crystallographic Priors for Accurate Space Group Determination from PXRD

Di Wu, Chen Zhang, Yudong Zhang, Pengkun Wang, Yang Wang, University of Science and Technology of China, China

MLSP-P27.8: Spiking Meets Causality: Efficient Granger Causal Discovery with Spiking Neural Networks

Bo Liu, Peking Universtiy, China; Di Dai, Peking University, China; Gaofeng Cheng, University of Chinese Academy of Sciences, China; Hongyan Li, Shenda Hong, Peking University, China