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Learning Pixel-wise Alignment for Unsupervised Image Stitching

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 ...

Impacts of the IIoT-Based Platform in the Maintenance Service Market

https://www3.fox.temple.edu/discover/wp-content/uploads/2025/03/Kumar_2023_at-a-glance_F.pdf

The Industrial Internet of Things (IIoT) is a network of connected devices, sensors, and instruments that work together to collect, analyze, and monitor data from industrial operations. It can be used to help businesses maintain their equipment more efficiently and reduce costs.

Yan Wang's personal website - Temple University

https://cis.temple.edu/~yanwang/publications.html

Yucheng Xie, Xiaonan Guo, Yan Wang, Jerry Cheng, and Yingying Chen. "Universal targeted adversarial attacks against mmwave-based human activity recognition." In Network Security Empowered by Artificial Intelligence, pp. 177-211. Cham: Springer Nature Switzerland, 2024. New!

Research Guides: Qualitative Data Repository: Home

https://guides.temple.edu/qdr

Temple University is a member of the Qualitative Data Repository (QDR), a dedicated archive for storing and sharing qualitative and mixed-method research data for the social sciences and related fields.

Enrique A. Gomez - Fox School of Business

https://www.fox.temple.edu/directory/enrique-gomez-tuo03938

Biography Enrique Gomez joins the Fox School as an assistant professor in the Department of Accounting, coming from the University of Georgia. Gomez’s research interests include asymmetry in capital markets, voluntary disclosures, information intermediaries and disclosure regulations. Throughout his career, he has received various academic honors, including a Deloitte Doctoral Fellowship ...

Tech Help | Information Technology Services | Temple University ...

https://its.temple.edu/tech-help

Service outages and other reported urgent issues are escalated immediately to the team responsible for the impacted system or service for quick turnaround. Otherwise, ITS works to respond to non-urgent request within two business days. Depending on the complexity of the request, the response may take longer, especially if it requires technical, procedural, or security-related review.

Search and Apply For Jobs - Human Resources

https://careers.temple.edu/careers-temple/search-and-apply-jobs

Temple is always looking to add exceptional faculty to the university community. Those interested in applying for a full-time faculty position can view current openings by clicking on the career site link below.

Temple raises $100 million-plus for fourth straight year

https://www.temple.edu/news/2023/09/temple-raises-100-million-plus-fourth-straight-year

Gifts made to Temple University during fiscal year 2023 reached $127,841,145, which represents a $13 million increase from the previous year. It is also the most gifts ever raised by the university during one single fiscal year.

Publications – Temple Robotics and Artificial Intelligence Laboratory

https://sites.temple.edu/trail/publications/

Pre-Prints/Under Review Alkesh Kumar Srivastava, Jared Levin, and Philip Dames. “Energy Efficient Multi Robot Package Delivery under Capacity-Constraints via Voronoi-Constrained Networks.” [arXiv] Alkesh Kumar Srivastava, Jared Levin, Alexander Derrico, and Philip Dames. “DELIVER: A System for LLM-Guided Coordinated Multi-Robot Pickup and Delivery using Voronoi-Based Relay Planning ...

PPGSpotter: Personalized Free Weight Training Monitoring Using Wearable ...

https://cis.temple.edu/~yu/research/PPGSpotter-info24.pdf

Abstract—Free weight training (FWT) is of utmost importance for physical well-being. However, the success of FWT depends heavily on choosing the suitable workload, as improper selections can lead to suboptimal outcomes or injury. Current workload estimation approaches rely on manual recording and special-ized equipment with limited feedback. Therefore, we introduce PPGSpotter, a novel PPG ...