40 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Everbright International (China)CN2 papers
- Innovative Micro Technology (United States)US2 papers
- Beijing Academy of Quantum Information SciencesCN1 paper
- Collaborative Innovation Center of Quantum MatterCN1 paper
- Département d'InformatiqueFR1 paper
- Emory UniversityUS1 paper
- Epsilon Systems (United States)US1 paper
- Hefei UniversityCN1 paper
- IMT AtlantiqueFR1 paper
- King UniversityUS1 paper
- Laboratoire des Sciences et Techniques de l’Information de la Communication et de la ConnaissanceFR1 paper
- Peking UniversityCN1 paper
5 papers
Integrated photonics incorporating 2D materials for practical applications
David J. Moss
On-chip integration of 2D materials with exceptional optical properties provides an attractive solution for next-generation photonic integrated circuits to address the limitations…
Rayleigh-Taylor Unstable Flames: the Effect of Two-Mode Coupling
Mingxuan Liu, Elizabeth P. Hicks
In the classical Rayleigh-Taylor (RT) instability, initial conditions are forgotten and the growth of the mixing layer becomes self-similar when short wavelength modes couple to ge…
Human Activity Recognition (HAR) in Smart Homes
Damien Bouchabou, Christophe Lohr, Ioannis Kanellos +1
Generally, Human Activity Recognition (HAR) consists of monitoring and analyzing the behavior of one or more persons in order to deduce their activity. In a smart home context, the…
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
Juan Wang, Bin Xia
This paper presents a weakly supervised image segmentation method that adopts tight bounding box annotations. It proposes generalized multiple instance learning (MIL) and smooth ma…
CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep Learning
Juan Wang, Bin Xia
The cup-to-disc ratio (CDR) is one of the most significant indicator for glaucoma diagnosis. Different from the use of costly fully supervised learning formulation with pixel-wise…