Bibtex
|
ACM
|
MLA
|
APA
|
Harvard
|
Vancouver
|
Chicago
@inproceedings{Zhang2017Physically, title = {{Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks}}, author = {Zhang, Yinda and Song, Shuran and Yumer, Ersin and Savva, Manolis and Lee, Joon-Young and Jin, Hailin and Funkhouser, Thomas}, booktitle = {2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, publisher = {{IEEE}}, month = {Jul.}, doi = {10.1109/CVPR.2017.537}, }
Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin, and Thomas Funkhouser. 2017. Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. . DOI: https://doi.org/10.1109/CVPR.2017.537
Zhang, Yinda, Song, Shuran, Yumer, Ersin, Savva, Manolis, Lee, Joon-Young, Jin, Hailin, and Funkhouser, Thomas. "Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks". 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. . 2017.
Zhang, Y., Song, S., Yumer, E., Savva, M., Lee, J., Jin, H., & Funkhouser, T. (2017). Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. .
Zhang, Y., Song, S., Yumer, E., Savva, M., Lee, J., Jin, H., Funkhouser, T., 2017. Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks.2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.
Zhang Y, Song S, Yumer E, Savva M, Lee J, Jin H, Funkhouser T. Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks.2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2017 Jul; pp. .
Zhang, Yinda, Song, Shuran, Yumer, Ersin, Savva, Manolis, Lee, Joon-Young, Jin, Hailin, and Funkhouser, Thomas "Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks". 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. . 2017.