WE2.R15.3
Reliability and Confidence Guided Referring Video Object Segmentation in Remote Sensing
Haochen Jiang, Yuzhe Sun, Tianzhu Liu, Yanfeng Gu, Harbin Institute of Technology, China
Session:
WE2.R15: Vision-Language Models for Remote Sensing: Foundations, Applications, and Challenges (2/3) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Wed, 12 Aug, 11:30 - 11:45
Session Co-Chairs:
Hongjie He, and Linlin Xu,
Presentation
Discussion
Resources
No resources available.
Session WE2.R15
WE2.R15.1: Remote Sensing Phrase Grounding Using Modulated Detection Transformer–Geospatial
Nicholas Harvey, Jeffrey Yu, The George Washington University, United States
WE2.R15.2: Explicit Alignment and Guided Refinement for Referring Remote Sensing Segmentation
Yuzhe Sun, Zhe Dong, Tianzhu Liu, Yanfeng Gu, Harbin Institute of Technology, China
WE2.R15.3: Reliability and Confidence Guided Referring Video Object Segmentation in Remote Sensing
Haochen Jiang, Yuzhe Sun, Tianzhu Liu, Yanfeng Gu, Harbin Institute of Technology, China
WE2.R15.4: WildfireVLM: AI-powered Analysis for Early Wildfire Detection and Risk Assessment Using Satellite Imagery
Aydin Ayanzadeh, Prakhar Dixit, Sadia Kamal, Milton Halem, University of Maryland, Baltimore County, United States
WE2.R15.5: BEYOND RGB: SPECTRAL-SPATIAL PROMPTING FOR ENHANCED REMOTE SENSING VISUAL QUESTION ANSWERING
Sourabh Barala, Sumedha Basu, Kuldeep Ramchandra Kurte, International Institute of Information Technology, Hyderabad, India; Abhishek V. Potnis, Oak Ridge National Laboratory, USA, United States
Contacts