THP1.PC.3
Deep Visual Features as Dense Anchors for Zero-Shot Height Recovery and Updating
Osher Rafaeli, Tal Svoray, Ben-Gurion University of the Negev
Session:
THP1.PC: 3D Mapping & Target Detection Poster
Track:
Theory and Techniques
Location:
Poster Area C
Presentation Time:
Thursday, 13 August, 09:45 - 11:00
Session Co-Chairs:
Osher Rafaeli, Ben-Gurion University of the Negev and Luiz Camara Neto, University of Waterloo
Presentation
Discussion
Resources
No resources available.
Session THP1.PC
THP1.PC.1: Geometrically Constrained Height Estimation for Monocular 3D Building Reconstruction
Lekang Wen, Jie Yang, Yingdong Pi, Zhongli Fan, Qiyan Luo, Mi Wang, Wuhan University
THP1.PC.2: Estimating Instance-Level Building Height from Monocular Satellite Imagery by Adapting Visual Foundation Model
Qikang Zhao, University of Macau; Qingyan Meng, Aerospace Information Research Institute, Chinese Academy of Sciences; Liang Gao, University of Macau; Wenxu Shi, Xin Tan, Xuewen Lei, Aerospace Information Research Institute, Chinese Academy of Sciences
THP1.PC.3: Deep Visual Features as Dense Anchors for Zero-Shot Height Recovery and Updating
Osher Rafaeli, Tal Svoray, Ben-Gurion University of the Negev
THP1.PC.4: ROBUST COST GUIDED SEMI-GLOBAL MATCHING FOR MULTI-ASPECT SAR 3D RECONSTRUCTION
Zhiwei Yue, Fei Teng, Wen Hong, Aerospace Information Research Institute,Chinese Academy of Sciences
THP1.PC.5: DATA-EFFICIENT RIVER BATHYMETRY RECONSTRUCTION WITH MASKED AUTOENCODERS AND HIGH-RESOLUTION TOPOBATHYMETRIC DEMS
Zequn Lin, Maopu Xu, University of Wisconsin-Milwaukee; Xi Chen, Chinese Academy of Sciences; Xinyi Shen, University of Wisconsin-Milwaukee; Chenkai Cai, Zhejiang Tongji Vocational College of Science and Technology
THP1.PC.6: UNCERTAINTY-AWARE RADAR PULSE SEGMENTATION VIA BAYESIAN 1D U-NET
Yassine Barhoumi, Rochester Institute of Technology; Jeff Cammerata, Lockheed Martin Corporation; Dimah Dera, Rochester Institute of Technology
Resources
No resources available.