Shaoqing Ren
Shaoqing Ren
NIO
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Titel
Zitiert von
Zitiert von
Jahr
Deep residual learning for image recognition
K He, X Zhang, S Ren, J Sun
Proceedings of the IEEE conference on computer vision and pattern …, 2016
593082016
Faster r-cnn: Towards real-time object detection with region proposal networks
S Ren, K He, R Girshick, J Sun
Conference on Neural Information Processing Systems (NIPS 2015), 2015
228752015
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K He, X Zhang, S Ren, J Sun
IEEE International Conference on Computer Vision (ICCV 2015), 2015
95532015
Spatial pyramid pooling in deep convolutional networks for visual recognition
K He, X Zhang, S Ren, J Sun
IEEE transactions on pattern analysis and machine intelligence 37 (9), 1904-1916, 2015
49792015
Identity mappings in deep residual networks
K He, X Zhang, S Ren, J Sun
European conference on computer vision, 630-645, 2016
43992016
Face Alignment at 3000 FPS via Regressing Local Binary Features
S Ren, X Cao, Y Wei, J Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), 2014
8812014
Joint cascade face detection and alignment
D Chen, S Ren, Y Wei, X Cao, J Sun
European conference on computer vision, 109-122, 2014
3592014
Instance-sensitive fully convolutional networks
J Dai, K He, Y Li, S Ren, J Sun
European Conference on Computer Vision, 534-549, 2016
2902016
Object detection networks on convolutional feature maps
S Ren, K He, R Girshick, X Zhang, J Sun
IEEE transactions on pattern analysis and machine intelligence 39 (7), 1476-1481, 2016
2802016
Global refinement of random forest
S Ren, X Cao, Y Wei, J Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), 723-730, 2015
882015
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
K He, X Zhang, S Ren, J Sun
IEEE, 2016
532016
Spatial pyramid pooling networks for image processing
K He, J Sun, X Zhang, S Ren
US Patent 9,542,621, 2017
252017
Faster R-CNN: Towards Real-Time Object
S Ren, K He, R Girshick, J Sun
Computer Vision and Pattern Recognition (cs. CV), Ithaca, 2016
22016
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