Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ijac202321309g
in paper	Carta, Silvio; Tommaso Turchi; Luigi Pintacuda; Ljubomir Jankovic (2023) RECOMM. Measuring resilient communities: An analytical and predictive tool
authors	Huang G, Liu Z, Van Der Maaten L, et al
year	2017
title	Densely connected convolutional networks
source	Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, 21-26 July 2017, 4700-4708
last changed	2024/05/29 14:01

_id	caadria2019_126zz
in paper	Ng, Jennifer Mei Yee, Khean, Nariddh, Madden, David, Fabbri, Alessandra, Gardner, Nicole, Haeusler, M. Hank and Zavoleas, Yannis (2019) Optimising Image Classification - Implementation of Convolutional Neural Network Algorithms to Distinguish Between Plans and Sections within the Architectural, Engineering and Construction (AEC) Industry
authors	Huang, G, Liu, Z, van der Maaten, L and Weinberger, KQ
year	2017
title	Densely Connected Convolutional Networks
source	Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, pp. 4700-4708
last changed	2019/04/16 12:26

_id	caadria2021_039ii2
in paper	Chen, Jielin, Stouffs, Rudi and Biljecki, Filip (2021) Hierarchical (multi-label) architectural image recognition and classification
authors	Huang, G, Liu, Z, Van Der Maaten, L and Weinberger, KQ
year	2017
title	Densely connected convolutional networks
source	Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4700-4708
last changed	2021/06/02 21:45

_id	caadria2024_449dd4
in paper	Xie, Yuchen, Li, Yunqin, Zhang, Jiaxin, Zhang, Jiahao and Kuang, Zheyuan (2024) Analysis of Differences in Street Visual Walkability Perception Between DCNN and ViT Model Based on Panoramic Street View Images
authors	Huang, Y., Zhang, F., Gao, Y., Tu, W., Duarte, F., Ratti, C., Guo, D., & Liu, Y.
year	2023
title	Densely Connected Convolutional Networks
source	Computers, Environment and Urban Systems, 106, 102043
last changed	2024/06/05 13:49

_id	ecaadesigradi2019_550j
in paper	Rhee, Jinmo, Cardoso Llach, Daniel and Krishnamurti, Ramesh (2019) Context-rich Urban Analysis Using Machine Learning - A case study in Pittsburgh, PA
authors	Albert, A, Kaur, J and GONZÁLEZ, M.C.
year	2017
title	Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale
source	Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
last changed	2019/08/27 22:35

_id	acadia20_178ss2
in paper	Meeran, Ahmed; Conrad Joyce, Sam (2020) Machine Learning for Comparative Urban Planning at Scale: An Aviation Case Study
authors	Albert, Adrian, Jasleen Kaur, and Marta Gonzalez
year	2017
title	Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale
source	Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1357-1366. New York, NY: ACM
last changed	2021/10/19 09:47

_id	caadria2023_167kk
in paper	Sanatani, Rohit P. and Nagakura, Takehiko (2023) The Many Faces of the Metropolis: Unsupervised Clustering of Urban Environments in Mumbai Based on Visual Features As Captured in City-Wide Street-View Imagery
authors	Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L.
year	2017
title	Deeplab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected Crfs
source	IEEE Transactions on Pattern Analysis and Machine Intelligence, 4(4), 834-848
last changed	2023/06/15 11:36

_id	ecaade2022_264yy2
in paper	Sanatani, Rohit Priyadarshi (2022) Democratizing Urban Data - A smartphone-based framework for rapid cataloging of geolocated street-level imagery and visual content analysis
authors	Chen, L.-C.et al.,
year	2017
title	Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
source	IEEE transactions on pattern analysis and machine intelligence, Volume 40, pp. 834-848
last changed	2022/09/09 11:01

_id	caadria2021_283s
in paper	Sanatani, Rohit Priyadarshi, Chatterjee, Shamik Sambit and Manna, Ishita (2021) Subject-specific Predictive Modelling for Urban Affect Analysis
authors	Chen, LC, Papandreou, G, Kokkinos, I, Murphy, K and Yuille, AL
year	2017
title	Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
source	IEEE transactions on pattern analysis and machine intelligence, 40(4), pp. 834-848
last changed	2021/06/02 22:29

_id	ecaade2020_113yy
in paper	Li, Yunqin, Yabuki, Nobuyoshi, Fukuda, Tomohiro and Zhang, Jiaxin (2020) A big data evaluation of urban street walkability using deep learning and environmental sensors - a case study around Osaka University Suita campus
authors	Chen, LC, Papandreou, G, Kokkinos, I, Murphy, K and Yuille, AL
year	2017
title	Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
source	IEEE transactions on pattern analysis and machine intelligence, 40(4), pp. 834-848
last changed	2020/09/10 09:47

_id	acadia18_166f
in paper	Kvochick, Tyler (2018) Sneaky Spatial Segmentation. Reading Architectural Drawings with Deep Neural Networks and Without Labeling Data
authors	Dai, Jifeng, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei
year	2017
title	Deformable Convolutional Networks
source	ArXiv:1703.06211 [Cs], March. http://arxiv.org/abs/1703.06211
last changed	2019/01/25 08:41

_id	acadia20_178vv2
in paper	Meeran, Ahmed; Conrad Joyce, Sam (2020) Machine Learning for Comparative Urban Planning at Scale: An Aviation Case Study
authors	Dong, Hao, Guang Yang, Fangde Liu, Yuanhan Mo, and Yike Guo
year	2017
title	Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
source	Annual Conference on Medical Image Understanding and Analysis, 506–517. Edinburgh, UK
last changed	2021/10/19 09:47

_id	caadria2023_359ss2
in paper	Wang, Xiao, Tang, Peng and Cai, Chenyi (2023) Traditional Chinese Village Morphological Feature Extraction and Cluster Analysis Based on Multi-source Data and Machine Learning
authors	Krizhevsky, A., Sutskever, I., & Hinton, G. E.
year	2017
title	Imagenet Classification with Deep Convolutional Neural Networks
source	Communications of the ACM, 6 (6), 84-9. doi: 1.1145/365386
last changed	2023/06/15 11:51

_id	cf2019_040g
in paper	Liao, Yu-Yi and Sheng-Fen Chien (2019) Investigating Audience Satisfaction Base on the Nonverbal Language Analysis of the Audience in Photos
authors	Lopes, A.T., de Aguiar, E., De Souza, A.F. and Oliveira-Santos, T.
year	2017
title	Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order
source	Pattern Recognition, 61, 610-628
last changed	2019/07/29 14:30

_id	caadria2021_305nn2
in paper	Keshavarzi, Mohammad, Afolabi, Oladapo, Caldas, Luisa, Yang, Allen Y. and Zakhor, Avideh (2021) GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
authors	McCormac, J, Handa, A, Davison, A and Leutenegger, S
year	2017
title	Semanticfusion: Dense 3d semantic mapping with convolutional neural networks
source	2017 IEEE International Conference on Robotics and automation (ICRA), pp. 4628-4635
last changed	2021/06/02 21:45

_id	caadria2021_166ii
in paper	Hu, Wei (2021) The experiment of neural network on the cognition of style
authors	Obeso, AM, Benois-Pineau, J and Acosta, AAR
year	2017
title	Architectural style classification of Mexican historical buildings using deep convolutional neural networks and sparse features
source	Journal of Electronic Imaging, 26(1), pp. 011-016
last changed	2021/06/02 22:17

_id	acadia18_196k
in paper	Zhang, Yan; Grignard; Aubuchon, Alexander; Lyons, Keven; Larson, Kent (2018) Machine Learning for Real-time Urban Metrics and Design Recommendations
authors	Rajpurkar, Pranav, Awni Y Hannun, Masoumeh Haghpanahi, Codie Bourn, and Andrew Y Ng.
year	2017
title	Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
source	arXiv preprint arXiv:1707.01836
last changed	2019/01/25 08:41

_id	ijac202018104ll2
in paper	Tarabishy, Sherif; Stamatios Psarras, Marcin Kosicki and Martha Tsigkari (2020) Deep learning surrogate models for spatial and visual connectivity
authors	Shelhamer E, Long J and Darrell T.
year	2017
title	Fully convolutional networks for semantic segmentation
source	IEEE Trans Pattern Anal Mach Intell; 39(4): 640–651
last changed	2020/11/02 13:54

_id	acadia20_426b
in paper	Zohier, Islam; EL Antably, Ahmed; S. Madani, Ahmed (2020) An AI Lens on Historic Cairo
authors	Shelhamer, Evan, Jonathan Long, and Trevor Darrell
year	2017
title	Fully Convolutional Networks for Semantic Segmentation
source	IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (4): 640–651. https://doi.org/10.1109/TPAMI.2016.2572683
last changed	2021/10/19 09:52

_id	acadia19_392s
in paper	Steinfeld, Kyle (2019) GAN Loci
authors	Wang, Jason, and Luis Perez.
year	2017
title	The Effectiveness of Data Augmentation in Image Classification Using Deep Learning
source	Convolutional Neural Networks Vis. Recognit
last changed	2019/12/18 09:08

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