https://cis.temple.edu/~latecki/Papers/ACM_MM2023.pdf
ABSTRACT Image stitching aims to align a pair of images in the same view. Generating precise alignment with natural structures is challeng-ing for image stitching, as there is no wider field-of-view image as a reference, especially in non-coplanar practical scenarios. In this paper, we propose an unsupervised image stitching frame-work, breaking through the coplanar constraints in homography ...
https://www.hpc.temple.edu/compute/
About Compute is a collection of large high-performance, shared memory compute servers for interactive use. These multi-socket machines host up to 88 Intel Xeon (Cascade Lake) CPU cores and 1.5TB of RAM. They provide access to various licensed software packages (MATLAB, STATA) and many open-source packages (R, RStudio, Sage Math, Apache Spark). All servers share the same user home directories ...
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https://medicine.temple.edu/education/about-graduate-medical-education/prospective-residents-fellows-0
Welcome to Temple University Hospital GME Recruitment This website was designed to assist you in choosing the appropriate Graduate Medical Education program and provide you with an array of useful information. In this website you will find: a synopsis of the benefits we offer; a sample of our resident physician contract; and a few pertinent policies. Also provided are hotel information; a map ...
https://scholarshare.temple.edu/
DSpace at Temple University provides access to a wide range of academic resources, including theses, dissertations, and research projects.
https://ibit.temple.edu/
Temple's Institute for Business and Information Technology (IBIT) engages with industry and the IT Advisory Board to develop knowledge and talent for the digital era.
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https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICDE2024_Online_Federated_Learning_on_Distributed_Unknown_Data_Using_UAVs.pdf
Abstract—Along with the advance of low-altitude economy, a variety of applications based on Unmanned Aerial Vehicles (UAVs) have been developed to accomplish diverse tasks. In this paper, we focus on the scenario of multiple UAVs performing Federated Learning (FL) tasks. Specifically, a group of UAVs is scheduled to repeatedly visit some Points of Interest (PoIs), collect the data produced ...
https://www.temple.edu/directory/yichuan-zhu-tup46467
Biography Dr. Yichuan Zhu leads the Computational Geosystems Laboratory in the Civil & Environmental Engineering Department at Temple University. Prior to joining Temple University, he worked as a Post-doctoral fellow at Kentucky Geological Survey where he applied quantitative methods such as machine learning, Bayesian techniques, and spatio-temporal simulations to solve applied Earth science ...