From the 6 of 13 papers with an AI index.
3 citations
- Queen Mary University of LondonGB8 papers
- A. Alikhanyan National LaboratoryAM7 papers
- Alexandru Ioan Cuza UniversityRO7 papers
- Ankara UniversityTR7 papers
- Aristotle University of ThessalonikiGR7 papers
- Azerbaijan National Academy of SciencesAZ7 papers
- Boğaziçi UniversityTR7 papers
- Brookhaven National LaboratoryUS7 papers
- California State University SystemUS7 papers
- California University of PennsylvaniaUS7 papers
- Carleton UniversityCA7 papers
- Centro Nacional de MicroelectrónicaES7 papers
13 papers
How Formerly Incarcerated People Envision Technologies for Prison Parole
Saiph Savage, Jesse Nava, Wanqing Iris Zhou +1
AI-driven algorithms and automated tools are increasingly embedded in the correctional landscape, shaping parole eligibility,release decisions, and surveillance. These tools are al…
Search for decays of the Higgs boson into scalar particles decaying into four or six -quarks using collisions at with the ATLAS detector
ATLAS Collaboration
The ATLAS experiment searches for Higgs boson decays into new scalar particles that subsequently produce four or six b‑quarks in ZH production, using 140 fb⁻¹ of 13 TeV proton‑prot…
Electroweak diboson production in association with a high-mass dijet system in semileptonic final states from collisions at TeV with the ATLAS detector
ATLAS Collaboration
The ATLAS experiment observed electroweak production of diboson (WW, WZ, ZZ) in association with a high‑mass dijet system in semileptonic final states using 140 fb⁻¹ of 13 TeV prot…
FSFVE: Few Shot Compressed Face Video Enhancement
Varun Ramesh Jois, Antonella DiLillo, James Storer
The paper introduces a framework that can train a model from as few as 10 face frames to enhance highly compressed video‑call streams in real time on low‑compute devices.
RTFVE: Realtime Face Video Enhancement
Varun Ramesh Jois, Antonella DiLillo, James Storer
The paper introduces RTFVE, a real‑time face video enhancement model that can be integrated with any video decoder and runs on ordinary CPUs, improving perceptual quality of low‑bi…
Reference-Based Face Super-Resolution Using the Spatial Transformer
Varun Ramesh Jois, Antonella DiLillo, James Storer
The paper introduces a reference-based face super-resolution method that leverages high‑resolution reference images and a spatial transformer alignment module to improve detail rec…