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	ecaade2017_271k
in paper	Narahara, Taro (2017) Collective Construction Modeling and Machine Learning: Potential for Architectural Design
authors	Shimizu, R.
year	2016
title	Deep Learning Programming
source	Technological Review Co., Ltd., Tokyo
last changed	2017/09/26 14:24

_id	ecaade2017_009t
in paper	Takizawa, Atsushi and Furuta, Airi (2017) 3D Spatial Analysis Method with First-Person Viewpoint by Deep Convolutional Neural Network with Omnidirectional RGB and Depth Images
authors	Abe, H, et al.
year	2016
title	Possibility of applying deep learning to the evaluation of street scape
source	Proceeding of the annual symposium of Japan Society of Graphic Science, pp. 85-90
last changed	2017/09/26 14:04

_id	ecaadesigradi2019_061j
in paper	Alkadri, Miktha Farid, De Luca, Francesco, Turrin, Michela and Sariyildiz, Sevil (2019) Making use of Point Cloud for Generating Subtractive Solar Envelopes
authors	Boulch, A and Marlet, R
year	2016
title	Deep Learning for Robust Normal Estimation in Unstructured Point Clouds
source	Proceeding of SGP 2016, Berlin, pp. 281-290
last changed	2019/08/26 23:15

_id	acadia18_166e
in paper	Kvochick, Tyler (2018) Sneaky Spatial Segmentation. Reading Architectural Drawings with Deep Neural Networks and Without Labeling Data
authors	Caley, Jeffrey A., Nicholas R.J. Lawrance, and Geoffrey A. Hollinger
year	2016
title	Deep Learning of Structured Environments for Robot Search
source	Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 3987–92. Daejeon, Korea: IROS. doi:10.1109/IROS.2016.7759587
last changed	2019/01/25 08:41

_id	caadria2021_283u
in paper	Sanatani, Rohit Priyadarshi, Chatterjee, Shamik Sambit and Manna, Ishita (2021) Subject-specific Predictive Modelling for Urban Affect Analysis
authors	Dubey, A, Naik, N, Parikh, D, Raskar, R and Hidalgo, CA
year	2016
title	Deep learning the city: Quantifying urban perception at a global scale
source	European conference on computer vision, pp. 196-212
last changed	2021/06/02 22:29

_id	caadria2022_302mm
in paper	Raghu, Deepika, Markopoulou, Areti, Marengo, Mathilde, Neri, Iacopo, Chronis, Angelos and De Wolf, Catherine (2022) Enabling Component Reuse from Existing Buildings through Machine Learning, Using Google Street View to Enhance Building Databases
authors	Dubey, A., Naik, N., Parikh, D., Raskar, R. & Hidalgo, C. A.
year	2016
title	Deep Learning the City: Quantifying Urban Perception at a Global Scale
source	B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Computer Vision – ECCV 2016 (pp. 196–212). Springer International Publishing. https://doi.org/10.1007/978-3-319-46448-0_12
last changed	2022/06/16 12:25

_id	caadria2022_267bb2
in paper	Toohey, Gabrielle, Nguyen, Tommy Bao Nghi, Vilppola, Ritva, Qiu, Waishan, Li, Wenjing and Luo, Dan (2022) Data-Driven Evaluation of Streets to Plan for Bicycle Friendly Environments: A Case Study of Brisbane Suburbs
authors	Dubey, A., Naik, N., Parikh, D., Raskar, R. & Hidalgo, C. A.
year	2016
title	Deep Learning the City: Quantifying Urban Perception at a Global Scale
source	Computer Vision – ECCV 2016 Lecture Notes in Computer Science, 196-212. doi:10.1007/978-3-319-46448-0_12
last changed	2022/06/16 10:49

_id	caadria2023_167mm
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	Dubey, A., Naik, N., Parikh, D., Raskar, R., & Hidalgo, C. A.
year	2016
title	Deep Learning the City: Quantifying Urban Perception At a Global Scale
source	European Conference on Computer Vision, 196-212
last changed	2023/06/15 11:36

_id	sigradi2022_35g
in paper	Tu, Han (2022) Eyes on the Street: Assessing Window-to-Wall Ratios in Google Street Views using Machine Learning
authors	Dubey, A., Naik, N., Parikh, D., Raskar, R., & Hidalgo, C. A.
year	2016
title	Deep Learning the City: Quantifying Urban Perception at a Global Scale
source	B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Computer Vision - ECCV 2016 (pp. 196-212). Springer International Publishing. https://doi.org/10.1007/978-3-319-46448-0_12
last changed	2023/05/17 08:17

_id	acadia20_658yy2
in paper	Ho, Brian (2020) Making a New City Image
authors	Dubey, Abhimanyu, Nikhil Naik, Devi Parikh, Ramesh Raskar, and César A. Hidalgo
year	2016
title	Deep Learning the City: Quantifying Urban Perception at a Global Scale
source	European Conference on Computer Vision, pp. 196-212. Cham: Springer
last changed	2021/10/19 09:54

_id	ecaade2022_273j
in paper	Zhuang, Xinwei (2022) Rendering Sketches - Interactive rendering generation from sketches using conditional generative adversarial neural network
authors	Dumoulin, V., & Visin, F.
year	2016
title	A guide to convolution arithmetic for deep learning
source	ArXiv:1603.07285 [Cs, Stat]. http://arxiv.org/abs/1603.07285
last changed	2022/09/09 11:06

_id	caadria2020_347k
in paper	Budig, Michael, Heckmann, Oliver, Ng Qi Boon, Amanda, Hudert, Markus, Lork, Clement and Cheah, Lynette (2020) Data-driven Embodied Carbon Evaluation of Early Building Design Iterations
authors	Gal, Y and Ghahramani, Z
year	2016
title	Dropout as a bayesian approximation: Representing model uncertainty in deep learning
source	international conference on machine learning, pp. 1050-1059
last changed	2020/08/14 22:45

_id	ijac202119106gg
in paper	Del Campo, Matias; Alexandra Carlson, and Sandra Manninger (2021) Towards Hallucinating Machines - Designing with Computational Vision
authors	Goodfellow I, Bengio Y and Courville A.
year	2016
title	Deep learning.
source	Cambridge: The MIT Press.
last changed	2021/06/07 15:48

_id	ijac202321209o3
in paper	Byrne, Ultan (2023) A Parochial Comment on Midjourney
authors	Goodfellow I, Bengio Y, and Courville A
year	2016
title	Deep Learning
source	Cambridge: MIT Press, p. 45
last changed	2024/04/17 15:32

_id	ijac202321401b
in paper	Zhou, Yifan and Hyoung-June Park (2023) An AI-augmented multimodal application for sketching out conceptual design
authors	Goodfellow I, Bengio Y, Courville A, et al
year	2016
title	Deep learning
source	Cambridge, MA: MIT Press, 2016
last changed	2024/05/29 13:53

_id	acadia19_130j
in paper	Devadass, Pradeep; Heimig, Tobias; Stumm, Sven; Kerber, Ethan; Cokcan, Sigrid Brell (2019) Robotic Constraints Informed Design Process
authors	Goodfellow I., Y. Bengio, and A. Courville.
year	2016
title	Deep Learning
source	Cambridge, MA: The MIT Press
last changed	2019/12/18 09:06

_id	caadria2021_052n2
in paper	Yousif, Shermeen and Bolojan, Daniel (2021) Deep-Performance - Incorporating Deep Learning for Automating Building Performance Simulation in Generative Systems
authors	Goodfellow, I, Bengio, Y and Courville, A
year	2016
title	Deep learning
source	MIT press
last changed	2021/06/02 21:45

_id	ecaade2021_148bb
in paper	Mintrone, Alessandro and Erioli, Alessio (2021) Training Spaces - Fostering machine sensibility for spatial assemblages through wave function collapse and reinforcement learning
authors	Goodfellow, I, Bengio, Y and Courville, A
year	2016
title	Deep Learning
source	MIT Press, Cambridge
last changed	2021/08/09 14:31

_id	ecaadesigradi2019_514u
in paper	de Miguel, Jaime, Villafa?e, Maria Eugenia, Piškorec, Luka and Sancho-Caparrini, Fernando (2019) Deep Form Finding - Using Variational Autoencoders for deep form finding of structural typologies
authors	Goodfellow, I, Bengio, Y and Courville, A
year	2016
title	Deep Learning
source	MIT Press
last changed	2019/08/26 22:40

_id	ecaadesigradi2019_605j
in paper	Andrade Zandavali, Bárbara and Jiménez García, Manuel (2019) Automated Brick Pattern Generator for Robotic Assembly using Machine Learning and Images
authors	Goodfellow, I, Bengio, Y and Courville, A
year	2016
title	Deep Learning
source	MIT
last changed	2019/08/27 22:20

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