TH4.R12: High-Performance and Efficient Learning Frameworks for Remote Sensing
Oral
Thu, 13 Aug, 16:15 - 17:30
Location: TBD
Session Type: Oral
Session Chair: Gabriele Cavallaro, University of Iceland
Track: AI and Big Data
Click the to view the manuscript on IEEE Xplore Open Preview
Thu, 13 Aug, 16:15 - 16:30

TH4.R12.1: SC-DBNET: AN EFFICIENT SPECTRAL-CONDITIONED DUAL-BRANCH NET FOR HSI CLASSIFICATION

Jihun Kim, Jungkwon Kim, Chi Zhang, JEONGHYEON PARK, Kwangsun Yoo, Seok-Joo Byun, ELROILAB, Korea (South)
Thu, 13 Aug, 16:30 - 16:45

TH4.R12.2: ENERGY EFFICIENT GPU FREQUENCY SCALING FOR GEOSPATIAL FOUNDATION MODELS

Joseph Arnold Xavier, Rocco Sedona, Forschungszentrum Jülich, Germany; Morris Riedel, Gabriele Cavallaro, University of Iceland, Iceland
Thu, 13 Aug, 16:45 - 17:00

TH4.R12.3: FROGNER: ANCHOR-DRIVEN NEURAL GAUSSIAN REPRESENTATION FOR COMPACT AND HIGH-FIDELITY NOVEL VIEW SYNTHESIS

Xinhao Deng, Chaojie Zhang, Hongwei Li, Zhejiang University, China
Thu, 13 Aug, 17:00 - 17:15

TH4.R12.4: A DOCKER-BASED FRAMEWORK FOR PARALLEL HYPERPARAMETER TUNING OF LSTM MODELS

Anusha Srirenganathan Malarvizhi, George Mason University, United States; Tayven Stover, Northern Virginia Community College, United States; Seren Smith, George Mason University, United States; Kaylee Smith, University of Michigan, United States; Zifu Wang, Harvard University, United States; Chaowei Yang, George Mason University, United States