MOP2.PA.4
SRAC: Superpixel Retrieval-Augmented Classification for Multi-Modal Disaster Building Damage Assessment
Siheng Ning, Yuan Li, University of Chinese University of Chinese, China; Xiaodan Zhang, Beijing University of Technology, China; Jianbin Jiao, University of Chinese University of Chinese, China
Session:
MOP2.PA: Foundation Models, Generative AI, and Scalable Learning Poster
Track:
AI and Big Data
Location:
TBD
Presentation Time:
Mon, 10 Aug, 15:00 - 16:15
Session Co-Chairs:
Felix Von Hagen, University of the Bundeswehr Munihc and Ronny Hänsch, DLR
Presentation
Discussion
Resources
No resources available.
Session MOP2.PA
MOP2.PA.1: SAM 3D for 3D Object Reconstruction from Remote Sensing Images
Junsheng Yao, The Chinese University of Hong Kong (Shenzhen), China; Lichao Mou, MedAI Technology, China; Qingyu Li, The Chinese University of Hong Kong (Shenzhen), China
MOP2.PA.2: A FIRST BENCHMARK OF FOUNDATION-MODEL APPLICATION TO COASTAL RIVER-PLUME SEGMENTATION FOR MARINE MONITORING: A CASE OF SURUGA BAY, JAPAN
Kazuto Kashiwakura, Takashi Kobayashi, Kota Sato, Kirara Kotani, Masaki Hisada, NTT Inc., Japan
MOP2.PA.3: Learning Flood Depth via Conditional Flow Matching in Water Surface Elevation Space
Zhongyuan Yang, Wei Yuan, Tohoku University, Japan; Weihang Ran, The University of Tokyo, Japan; Bruno Adriano, Tohoku University, Japan; Ryosuke Shibasaki, The University of Tokyo, Japan; Shunichi Koshimura, Tohoku University, Japan
MOP2.PA.4: SRAC: Superpixel Retrieval-Augmented Classification for Multi-Modal Disaster Building Damage Assessment
Siheng Ning, Yuan Li, University of Chinese University of Chinese, China; Xiaodan Zhang, Beijing University of Technology, China; Jianbin Jiao, University of Chinese University of Chinese, China
MOP2.PA.5: Local--Global Vision Transformer for Well Logging Interpretation
Yimeng Ding, Guanwen Zhang, Northwestern Polytechnical University, China; Changjiang Yu, Juan Zhang, Jun Zhou, China National Logging Corporation, China; Wei Zhou, Northwestern Polytechnical University, China
MOP2.PA.6: Generative Well Logging Interpretation via Large Language Models and Group Relative Policy Optimization
Li Yao, Guanwen Zhang, Northwestern Polytechnical University, China; Juan Zhang, Jun Zhou, China National Logging Corporation, China; Wei Zhou, Northwestern Polytechnical University, China
MOP2.PA.7: Prompt Engineering Design and Knowledge Extraction for Road Monitoring Based on KIMI Large Language Model
ShuangShuang Hu, Junyu Chen, Xi Chen, Hong Fan, Wuhan University, China
MOP2.PA.8: A FOUNDATION MODEL FOR PRECISION AGRICULTURE
Peder Olsen, None, United States; Arif Masrur, ESRI, United States; Olaoluwa Adigun, Florida International University, United States; Paul Adler, USDA, United States
MOP2.PA.9: FLOOD MAPPING FROM RGB IMAGERY USING A VISION FOUNDATION MODEL
Vladyslav Polushko, Fraunhofer Institute for Industrial Mathematics, Germany; Tilman Bucher, German Aerospace Center, Germany; Ronald Rösch, Fraunhofer Institute for Industrial Mathematics, Germany; Thomas März, Darmstadt University of Applied Sciences, Germany; Markus Rauhut, Fraunhofer Institute for Industrial Mathematics, Germany; Andreas Weinmann, Technical University of Applied Sciences Würzburg-Schweinfurt, Germany
MOP2.PA.10: An End-to-end SAM-based Center Pivot Irrigation System Mapping Framework
Yongda Wei, Liping Di, Chen Zhang, George Mason University, United States
MOP2.PA.11: RemoteCLIP-ViM: A Novel Remote Sensing Image-Text Retrieval Model Integrating RemoteCLIP with Mamba-Like Linear Attention
Tianhao Li, Guoqing Zhou, Yuheng Chen, Jianyin Liu, Yue Jiang, Yi Tang, Guilin University of Technology, China
Contacts