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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	Jégou, Simon, Michal Drozdzal, David Vazquez, Adriana Romero, and Yoshua Bengio (2017) The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation , ArXiv:1611.09326 [Cs], October. http://arxiv.org/abs/1611.09326

	Kamnitsas, Konstantinos, Christian Ledig, Virginia FJ Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, and Ben Glocker (2017) Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation , Medical Image Analysis 36: 61–78

	Keefe, D., Acevedo, D., Moscovich, T., Laidlaw, D., and La Viola, J. (2001) CavePainting: A Fully Immersive 3D Artistic Medium and Interactive Experience , Proceedings of the 2001 Symposium on Interactive 3D Graphics, March 2001

	Kimura, K., Reichert, J. F., Olson, A., Pouya, O. R., Wang, X., Moussavi, Z., & Kelly, D. M. (2017) Orientation in virtual reality does not fully measure up to the real-world , Scientific reports, 7(1), 1-8

	Klein, T (2015) Digital Craftsmanship: The Making of Incunabula, a Fully 3D Printed Wearable Dress , Design, User Experience, and Usability: Users and Interactions, Cham, pp. https://link.springer.com/chapter/10.1007/978-3-319-20898-5_61

	Li, R., Zheng, S., Duan, C., Wang, L., & Zhang, C. (2022) Land cover classification from remote sensing images based on multi-scale fully convolutional network , Geo-Spatial Information Science, 25(2), 278-294. https://doi.org/10.1080/10095020.2021.2017237

	Long J, Shelhamer E and Darrell T (2015) Fully convolutional networks for semantic segmentation , IEEE CVPR 2015: 3431–3440.

	Long J, Shelhamer E and Darrell T. (2015) Fully convolutional networks for semantic segmentation , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, USA.

	Long, J, Shelhamer, E and Darrell, T (2015) Fully convolutional networks for semantic segmentation , Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3431-3440

	Long, J, Shelhamer, E and Darrell, T (2015) Fully Convolutional Networks for Semantic Segmentation , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2015

	Long, J, Shelhamer, E and Darrell, T (2015) Fully Convolutional Networks for Semantic Segmentation , The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), p. 3431-3440

	Long, J, Shelhamer, E and Darrell, T (2015) Fully Convolutional Networks for Semantic Segmentation , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431-3440

	Long, J, Shelhamer, E and Darrell, T (2015) Fully Convolutional Networks for Semantic Segmentation , The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), p. 3431-3440

	Long, J, Shelhamer, E and Darrell, T (2015) Fully Convolutional Networks for Semantic Segmentation , The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

	Long, J, Shelhamer, E and Darrell, T (2015) Fully Convolutional Networks for Semantic Segmentation , the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), p. 3431-3440

	Long, J., Shelhamer, E. and Darrell, T. (2015) Fully convolutional networks for semantic segmentation , Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 431-440

	Long, Jonathan, Evan Shelhamer, and Trevor Darrell (2015) Fully Convolutional Networks for Semantic Segmentation , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3431–40. Boston: CVPR

	Madiraju, Naveen Sai, Sadat, Seid M, Fisher, Dimitry, and Karimabadi, Homa (2018) Deep Temporal Clustering: Fully Unsupervised Learning of Time-Domain Features , arXiv:1802.01059 [cs.LG], February 4. https://arxiv.org/abs/1802.01059v1.

	Makadia, A, Patterson, AI and Daniilidis, K (2006) Fully Automatic Registration of 3D Point Clouds , Cvpr, 1, pp. 1297-1304

	Mohammed Faraj Al-Suwaidi, Asterios Agkathidis, Haidar, A. and Lombardi, D. (2023) Immersive Technologies in Architectural Education: A pedagogical framework for integrating virtual reality as the main design tool in a fully virtualised architectural design studio environment , eCAADe proceedings. doi:https://doi.org/10.52842/conf.ecaade.2023.1.089.? [Accessed 14 Jan. 2024]

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