David Nam

12 papers A 1B 2Journal 2Unranked 7
YearRankTypeTitle / Venue / Authors
2020 — conf
Effects of Pre-trained Word Embeddings on Text-based Deception Detection.
DASC/PiCom/CBDCom/CyberSciTech
David Nam, Jerin Yasmin, Farhana H. Zulkernine
2019 — conf
Vehicle Activity Recognition Using DCNN.
VISIGRAPP (Revised Selected Papers)
Alaa AlZoubi, David Nam
2019 — conf
Vehicle Activity Recognition using Mapped QTC Trajectories.
VISIGRAPP (5: VISAPP)
Alaa AlZoubi, David Nam
2018 J jnl
Performance Evaluation of Feature Detectors and Descriptors Beyond the Visible.
J. Intell. Robotic Syst.
Tarek Mouats, Nabil Aouf, David Nam, Stephen Vidas
2017 B conf
Automated mosaicing for improving vehicle situational awareness in real time.
Intelligent Vehicles Symposium
David Nam, Nabil Aouf
2016 — conf
A novel approach to identifying merging/splitting events in time-lapse microscopy.
ISBI
David Nam, Kenton Arkill, Lorna Hodgson, David R. Bull, Paul Verkade, Alin Achim
2015 — conf
RJMCMC-based tracking of vesicles in fluorescence time-lapse microscopy.
EUSIPCO
David Nam, Kenton Arkill, Richard Eales, Lorna Hodgson, Paul Verkade, Alin Achim
2014 J jnl
A Novel Framework for Segmentation of Secretory Granules in Electron Micrographs.
Medical Image Anal.
David Nam, Judith Mantell, David R. Bull, Paul Verkade, Alin Achim
2014 B conf
Feature-based registration for correlative light and electron microscopy images.
ICIP
David Nam, Judith Mantell, Lorna Hodgson, David R. Bull, Paul Verkade, Alin Achim
2013 A conf
Insulin Granule Segmentation in 3-D TEM Beta Cell Tomograms.
BMVC
David Nam, Judith Mantell, David R. Bull, Paul Verkade, Alin Achim
2012 — conf
Active contour based segmentation for insulin granule cores in electron micrographs of beta islet cells.
EMBC
David Nam, Judith Mantell, Dave Bull, Paul Verkade, Alin Achim
2012 — conf
Segmentation and analysis of insulin granule membranes in beta islet cell electron micrographs.
EUSIPCO
David Nam, Judith Mantell, David R. Bull, Paul Verkade, Alin Achim