Christian Szegedy
Christian Szegedy
Google Research
Verified email at google.com
Title
Cited by
Cited by
Year
Going deeper with convolutions
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
Proceedings of the IEEE conference on computer vision and pattern…, 2015
256442015
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S Ioffe, C Szegedy
arXiv preprint arXiv:1502.03167, 2015
218932015
Ssd: Single shot multibox detector
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
European conference on computer vision, 21-37, 2016
109092016
Rethinking the inception architecture for computer vision
C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna
Proceedings of the IEEE conference on computer vision and pattern…, 2016
102472016
Inception-v4, inception-resnet and the impact of residual connections on learning
C Szegedy, S Ioffe, V Vanhoucke, A Alemi
arXiv preprint arXiv:1602.07261, 2016
57962016
Explaining and harnessing adversarial examples
IJ Goodfellow, J Shlens, C Szegedy
arXiv preprint arXiv:1412.6572, 2014
57962014
Intriguing properties of neural networks
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199, 2013
55172013
Deeppose: Human pose estimation via deep neural networks
A Toshev, C Szegedy
Proceedings of the IEEE conference on computer vision and pattern…, 2014
17122014
Deep neural networks for object detection
C Szegedy, A Toshev, D Erhan
Advances in neural information processing systems, 2553-2561, 2013
11082013
Scalable object detection using deep neural networks
D Erhan, C Szegedy, A Toshev, D Anguelov
Proceedings of the IEEE conference on computer vision and pattern…, 2014
9182014
Training deep neural networks on noisy labels with bootstrapping
S Reed, H Lee, D Anguelov, C Szegedy, D Erhan, A Rabinovich
arXiv preprint arXiv:1412.6596, 2014
4282014
Scalable, high-quality object detection
C Szegedy, S Reed, D Erhan, D Anguelov, S Ioffe
arXiv preprint arXiv:1412.1441, 2014
3542014
Deepmath-deep sequence models for premise selection
G Irving, C Szegedy, AA Alemi, N En, F Chollet, J Urban
Advances in Neural Information Processing Systems, 2235-2243, 2016
1292016
Deep network guided proof search
S Loos, G Irving, C Szegedy, C Kaliszyk
arXiv preprint arXiv:1701.06972, 2017
1052017
WL 0015, Y
C Szegedy
Jia, P. Sermanet, SE Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A…, 2015
1052015
Modular code generation from synchronous block diagrams: modularity vs. code size
R Lublinerman, C Szegedy, S Tripakis
Proceedings of the 36th annual ACM SIGPLAN-SIGACT symposium on Principles of…, 2009
802009
Object detection using deep neural networks
C Szegedy, D Erhan, AT Toshev
US Patent 9,275,308, 2016
582016
Holstep: A machine learning dataset for higher-order logic theorem proving
C Kaliszyk, F Chollet, C Szegedy
arXiv preprint arXiv:1703.00426, 2017
532017
Rethinking the inception architecture for computer vision. CoRR abs/1512.00567 (2015)
C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna
522015
Batch normalization: accelerating deep network training by reducing internal covariate shift. arXiv e-prints
S Ioffe, C Szegedy
452015
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