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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	Yin, X., Wonka, P. and Razdan, A. (2009) Generating 3D Building Models from Architectural Drawings:A Survey , IEEE Computer Graphics and Applications

	Yin, X.,Wonka, P., Razdan, A. (2009) Generating 3D building models from architectural drawings: A survey , IEEE Computer Graphics and Applications, 29(1), pp. 20-30

	Yin, X.; Wonka, P. and Razdan, A. (2009 ) Generating 3d building models from architectural drawings: A survey , Computer Graphics and Applications, IEEE, 29(1), (pp. 20-30)

	You, X., Misra, M., Gregori, S. and Mohanty, AK. (2018) Preparation of an Electric Double Layer Capacitor (EDLC) Using Miscanthus-Derived Biocarbon , ACS Sustainable Chemistry & Engineering, 6, pp.318-324

	Yu, C. L., Wang, X. F., Tong, X., Jiang, H. T. and Wang, G. W. (2007) Integrated Liquid-Phase Sintering of Glass-Alumina Functionally Graded Materials , Science of Sintering, 39(2), 133-144

	Yu, C. L.,Wang, X. F.,Tong, X., Jiang, H.T. and Wang, G.W. (2007) Integrated Liquid-Phase Sintering of Glass-Alumina Functionally Graded Materials , Science of Sintering, 2007, 39(2), 133- 144

	Yu, F., Peng, T., Peng, K., Tang, S., Chen, C.S., Qian, X., Sun, P., Han, T. and Chai, F. (2016) Cultural value shifting in pronoun use , Journal of Cross-Cultural Psychology, 47(2), pp. 310-316

	Yu, H., He, X., Deng, Y., & Mo, L. (2002) A formal method for analyzing software architecture models in SAM , Proceedings 26th Annual International Computer Software and Applications (pp. 645-652). IEEE

	Yu, X., Rao, Y., Wang, Z., Liu, Z., Lu, J., & Zhou, J. (2021) Pointr: Diverse Point Cloud Completion with Geometry-aware Transformers , Paper presented at the Proceedings of the IEEE International Conference on Computer Vision, 12478-12487. Available at: https://doi.org/1.119/ICCV48922.221.1227

	Yuan, F and Tong, X (2014) The Research and Practice of Digital Design Research Center (DDRC) , Achitectural Journal, 8, pp. 14-19

	Yuan, J., Zheng, Y. & Xie, X. (2012) Discovering regions of different functions in a city using human mobility and POIs , Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 186–194

	Yuan, Philip F, Chen, Zhewen and Zhang, Liming (2019) Design Optimum Robotic Toolpath Layout for 3-D Printed Spatial Structures. , In Proceedings of the 2019 DigitalFUTURES,edited Phil-ip.F.Y ,Yi.Min(Mike).X,JiaWei Y,Chao Y .Springer., Shanghai, pp. 322-330

	Yuan, X and Wu, J (2010) Research on Virtual Experiment System Based on Collaborative Experiment Mode, Computer and Modernization , Computer and Modernization, 52, pp 23-27

	Yuan, X., Lee, J., & Wu, Y. (2011) A new perspective to look at ice-ray grammar , Circuit Bending, Breaking and Mending: Proceedings of the 16th International Conference on Computer-Aided Architectural Design Research in Asia, 81–89

	Yun, X, Bachmann, ER, Moore IV, H and Calusdian, J (2007) Self-contained Position Tracking of Human Movement Using Small Inertial/Magnetic Sensor Modules , Proceedings 2007 IEEE International Conference on Robotics and Automation

	Zaera-Polo, A. (2012) The Sniper’s Log: Architectural Chronicles of Generation X, , Actar

	Zeng X, Vahdat A, Williams F, et al (2022) LION: latent point diffusion models for 3D shape generation , Epub ahead of print 12 October 2022. DOI: 10.48550/arXiv.2210.06978.

	Zeng, X., Vahdat, A., Williams, F., Gojcic, Z., Litany, O., Fidler, S., & Kreis, K. (2022) LION: Latent Point Diffusion Models for 3D Shape Generation , ArXiv. /abs/2210.06978

	Zeng, Z, Li, X, Yu, Y and Fu, C (2019) Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention , Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2019

	Zeng, Z., Li, X., Yu, Y. K. & Fu, C.-W. (2019) Deep floor plan recognition using a multi-task network with room-boundary-guided attention , Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 9096-9104)

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