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3An Efficient System for Forward Collison Avoidance Using Low Cost Camera & Embedded Processor in Autonomous Vehicles
M. R. Advanced Computational Intelligence: An International Journal (ACII), 4 (1/2): 01 - 08 (April 2017)
2 years ago by @janakirob
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3D
Advanced
collision
SFM/
avoidance/
detection/classification
FCA/
driver
assistance/HOG/
reconstruction/object
3DAdvancedcollisionSFM/avoidance/detection/classificationFCA/driverassistance/HOG/reconstruction/object
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1The Importance of Digital Technologies and Virtual Systems in the World of Modern Tourism
E. Jabbarova. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (3): 404-407 (March 2022)
2 years ago by @ijtsrd
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3D
innovations
panorama
zone
booking
virtual
ADI
hotspot.
online
tourism
active
travel
3DinnovationspanoramazonebookingvirtualADIhotspot.onlinetourismactivetravel
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1ShapeMOD: Macro Operation Discovery for 3D Shape Programs
R. Jones, D. Charatan, P. Guerrero, N. Mitra, and D. Ritchie. (2021)cite arxiv:2104.06392Comment: Project Page: https://rkjones4.github.io/shapeMOD.html.
4 years ago by @analyst
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3D
shape
language
2021
3Dshapelanguage2021
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1Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
K. Stelzner, K. Kersting, and A. Kosiorek. (2021)cite arxiv:2104.01148Comment: 15 pages, 3 figures. For project page with videos, see http://stelzner.github.io/obsurf/.
4 years ago by @analyst
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3D
unsupervised
segmentation
2021
NeRF
3Dunsupervisedsegmentation2021NeRF
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1An Efficient System for Forward Collison Avoidance Using Low Cost Camera
M. R. Advanced Computational Intelligence: An International Journal (ACII, 4 (1/2): 01 - 08 (April 2017)
4 years ago by @janakirob
show all tags
Advanced
FCA
detection
assistance
avoidance
classification
3D
collision
SFM
driver
HOG
(ADAS)
reconstruction
object
AdvancedFCAdetectionassistanceavoidanceclassification3DcollisionSFMdriverHOG(ADAS)reconstructionobject
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3An Efficient System for Forward Collison Avoidance Using Low Cost Camera & Embedded Processor in AutonomousVehicles
M. R. Advanced Computational Intelligence: An International Journal (ACII), 4 (1/2): 01 - 08 (April 2017)
4 years ago by @janakirob
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Advanced
FCA
detection
assistance
avoidance
classification
3D
collision
SFM
driver
HOG
(ADAS)
reconstruction
object
AdvancedFCAdetectionassistanceavoidanceclassification3DcollisionSFMdriverHOG(ADAS)reconstructionobject
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4Ultra-High Resolution 3D Imaging of Whole Cells
F. Huang, G. Sirinakis, E. Allgeyer, L. Schroeder, W. Duim, E. Kromann, T. Phan, F. Rivera-Molina, J. Myers, I. Irnov and 9 other author(s). Cell, 166 (4): 1028--1040 (August 2016)
5 years ago by @kfriedl
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3D
fluorescence
superresolution
microscopy
3Dfluorescencesuperresolutionmicroscopy
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4Deep Hough Voting for 3D Object Detection in Point Clouds.
C. Qi, O. Litany, K. He, and L. Guibas. CoRR, (2019)
5 years ago by @kluger
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3d
cloud
point
cnn
detection
hough
deep
neural
learning
network
object
3dcloudpointcnndetectionhoughdeepneurallearningnetworkobject
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2Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
S. Richter, and S. Roth. (2018)cite arxiv:1804.10975Comment: Published at the Conference on Computer Vision and Pattern Recognition (CVPR 2018).
6 years ago by @analyst
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3D
deep-learning
2018
paper
cvpr
arxiv
3Ddeep-learning2018papercvprarxiv
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2Beyond PASCAL: A benchmark for 3D object detection in the wild
Y. Xiang, R. Mottaghi, and S. Savarese. 2014 IEEE Winter Conference on Applications of Computer Vision (WACV), 00, page 75-82. (March 2014)
6 years ago by @analyst
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3D
computer-vision
dataset
detection
paper
pose
2014
ieee
3Dcomputer-visiondatasetdetectionpaperpose2014ieee
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6PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi, L. Yi, H. Su, and L. Guibas. (2017)cite arxiv:1706.02413.
6 years ago by @analyst
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3D
deep-learning
paper
2017
stanford
segmentation
point-cloud
arxiv
3Ddeep-learningpaper2017stanfordsegmentationpoint-cloudarxiv
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6PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi, H. Su, K. Mo, and L. Guibas. (2016)cite arxiv:1612.00593Comment: CVPR 2017.
6 years ago by @analyst
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3D
deep-learning
paper
2016
stanford
segmentation
point-cloud
arxiv
classification
3Ddeep-learningpaper2016stanfordsegmentationpoint-cloudarxivclassification
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13-D visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)
M. Rautenhaus, M. Kern, A. Schäfler, and R. Westermann. Geoscientific Model Development Discussions, 8 (2): 2101--2160 (Feb 27, 2015)
6 years ago by @pbett
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3D
ensembles
visualisation
3Densemblesvisualisation
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1Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)
M. Rautenhaus, M. Kern, A. Schäfler, and R. Westermann. Geoscientific Model Development, 8 (7): 2329--2353 (Jul 31, 2015)
6 years ago by @pbett
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3D
computing
nwp
visualisation
3Dcomputingnwpvisualisation
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1Three-dimensional visualization of ensemble weather forecasts – Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns
M. Rautenhaus, C. Grams, A. Schäfler, and R. Westermann. Geoscientific Model Development, 8 (7): 2355--2377 (Jul 31, 2015)
6 years ago by @pbett
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3D
computing
nwp
visualisation
3Dcomputingnwpvisualisation
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13-D visualization of ensemble weather forecasts – Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns
M. Rautenhaus, C. Grams, A. Schäfler, and R. Westermann. Geoscientific Model Development Discussions, 8 (2): 2161--2212 (Feb 27, 2015)
6 years ago by @pbett
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3D
ensembles
visualisation
3Densemblesvisualisation
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6PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi, L. Yi, H. Su, and L. Guibas. (2017)cite arxiv:1706.02413.
6 years ago by @achakraborty
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3D
deep-learning
paper
2017
stanford
segmentation
point-cloud
arxiv
3Ddeep-learningpaper2017stanfordsegmentationpoint-cloudarxiv
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6PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi, H. Su, K. Mo, and L. Guibas. (2016)cite arxiv:1612.00593Comment: CVPR 2017.
7 years ago by @achakraborty
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3D
deep-learning
paper
2016
segmentation
point-cloud
arxiv
3Ddeep-learningpaper2016segmentationpoint-cloudarxiv
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1The architectural information system SIArch3D-univaq for analysis and preservation of architectural heritage
M. Centofanti, R. Continenza, S. Brusaporci, and I. Trizio. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 38 (5): 9 -- 14 (September 2011)
8 years ago by @cepek
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3D
modelling,
surveying
geoinformatics_fce_ctu_ref
informative
Architectonical
systems,
3Dmodelling,surveyinggeoinformatics_fce_ctu_refinformativeArchitectonicalsystems,
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1Dust in three dimensions in the Galactic Plane
R. Hanson, C. Bailer-Jones, W. Burgett, K. Chambers, K. Hodapp, N. Kaiser, J. Tonry, R. Wainscoat, and C. Waters. (2016)cite arxiv:1609.03177Comment: Accepted for publication in MNRAS. Free-access link http://mnras.oxfordjournals.org/cgi/content/abstract/stw2240. Data temporarily available at www.rhanson.de/gpdust.
8 years ago by @miki
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3d
map
dust
3dmapdust
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publications (hide)39
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