https://law.temple.edu/news/temple-law-welcomes-six-new-faculty-members/
Temple University Beasley School of Law will welcome six new faculty members this fall, bringing added strength and diversity to its already exceptional roster of scholars, educators, and advocates. Rachel López writes, teaches, and practices in the areas of criminal law, public international law, international human rights law, international criminal law, and post-conflict and transitional ...
https://sites.temple.edu/spanogroup/current-research/
The Spano Group is primarily interested in modelling the photophysical properties of organic materials, such as molecular aggregates, thin films and crystals comprised of small p-conjugated organic molecules such as tetracene as well as large semiconducting polymers, like polythiophene. Such materials can assemble in a remarkable number of ways – Figure 1 shows but a few. They can be ...
https://dabi.temple.edu/slobodan-vucetic/
Profile Director, Center for Hybrid Intelligence (CHI) (former Center for Cognitive Computing) Professor, Department of Computer and Information Sciences (CIS) Temple University Address: 1925 N. 12th St., 314 SERCPhiladelphia, PA 19122-6094 Telephone: (215) 204-5535Fax: (215) 204-5082Email: vucetic@temple.eduOffice: 314 SERC Resume: View News (December 2020) Co-organizing a NAACL Workshop on ...
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https://cis.temple.edu/~latecki/Papers/ICIP2019.pdf
ABSTRACT The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this prob-lem, namely LEDNet, which employs an asymmetric encoder-decoder architecture for the task of real-time semantic seg-mentation. More specifically, the encoder adopts a ResNet as backbone network, where two new ...
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https://cis.temple.edu/~yu/research/FitLoc-infocom16.pdf
In this paper, we propose, FitLoc, a fine-grained and low cost DfL approach that can localize multiple targets in various areas. By taking advantage of the compressive sensing (CS) theory, FitLoc decreases the deployment cost by collecting only a few of RSS measurements and performs a fine-grained localization. Further, FitLoc employs a rigorously designed transfer scheme to unify the radio ...
http://fim.temple.edu/idp/profile/cas/login?execution=e1s1
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