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HDCFN: Haze Distribution-aware Cross-modal Fusion Network for Infrared ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/MM_2025_UAV_CR.pdf

HDCFN features two key components: (i) an infrared-guided multiscale feature enhance-ment framework that integrates haze-resistant structural cues from infrared modality with visible features across coarse to fine, im-proving the recovery of small objects, and (ii) a haze distribution-aware cross-modal fusion module that adaptively prioritizes ...

F-1 Student Reinstatement vs Traveling to Regain Status

https://global.temple.edu/isss/students/current-students/f-1-student/maintaining-legal-status/f-1-student-reinstatement-process/f-1-student-reinstatement-vs-traveling-regain-status

International students must maintain lawful F-1 status by complying with the immigration regulations outlined below. If an international student fails to follow these rules, they will lose their F-1 Status. In this case, a student must make a choice on how they will regain F-1 Status. If you think you may be out of status, please contact ISSS immediately. The longer you wait to address the ...

MATRICES M - Temple University

https://cis.temple.edu/~latecki/Courses/CIS2166-Fall18/Lectures/MatrixAlg1.pdf

A matrix is a rectangular array of numbers or other mathematical objects, for which operations such as addition and multiplication are defined. Most of this article focuses on real matrices, i.e., matrices whose elements are real numbers. For instance, this is a real matrix: The numbers, symbols or expressions in the matrix are called its entries or its elements. The horizontal and vertical ...

Meet Our International Staff - Office of Undergraduate Admissions

https://admissions.temple.edu/about/meet-staff/meet-international-staff

Talk to Our Admissions Staff We’re here to help you with any questions you may have about Temple and navigating the admissions process. You can now schedule a virtual appointment with an undergraduate admissions representative.

FedCPD: Personalized Federated Learning with Prototype-Enhanced ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf

Both challenges pertain to optimizing personalized feder-ated learning, yet their solutions don’t cross-apply. Parame-ter decoupling protects local knowledge to prevent forgetting but falls short on sharing global insights, thus struggling with generalization. On the other hand, prototype learning curbs overfitting and boosts generalization by sharing class proto-types, yet it misses ...

“INNOCENT” OR “CAN’T BE SURE WHAT HAPPENED?” - SCOTT TUROW AND THE ...

https://law.temple.edu/aer/2020/11/18/innocent-or-cant-br-sure-what-happened-scott-turow-and-the-closing-argument/

Which is more effective - the "actual innocence" or "reasonable doubt" story? Scott Turow's latest work raises that question.

Creative Writing MFA | English - College of Liberal Arts

https://liberalarts.temple.edu/academics/departments-and-programs/english/graduate/creative-writing/creative-writing-mfa

The Temple MFA Program in Creative Writing awards a two-year Master of Fine Arts degree in Creative Writing, with a focus in either fiction or poetry. Our innovative curriculum immerses students in the study of creative writing and literature, with course offerings that range from special topics and craft classes in creative writing to graduate seminars in literature, the humanities and the ...

Piaget’s Theory of Intelligence - Temple University

https://cis.temple.edu/tagit/presentations/Piaget%27s%20Theory%20of%20Intelligence.pdf

Piaget's theory of cognitive and epistemological view are together called "genetic epistemology".

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 ...

Boosting Chamfer Matching by Learning Chamfer Distance Normalization

https://cis.temple.edu/~latecki/Papers/ChamferECCVFinal.pdf

2 Related work There is a large number of applications of chamfer matching in computer vision and in medical image analysis. Chamfer distance was first introduced by Barrow et al. [2] in 1977 with a goal of matching two collections of contour fragments. Until today chamfer matching is widely used in object detection and classifica-tion task due to its tolerance to misalignment in position ...