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Shaoqing Ren
Shaoqing Ren
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Title
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Year
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
1185332016
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
430672015
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
156462015
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
83672015
Identity mappings in deep residual networks
K He, X Zhang, S Ren, J Sun
European conference on computer vision, 630-645, 2016
76832016
Deep residual learning for image recognition
S Ren, J Sun, K He, X Zhang
CVPR 2, 4, 2016
23932016
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
10872014
Joint cascade face detection and alignment
D Chen, S Ren, Y Wei, X Cao, J Sun
European conference on computer vision, 109-122, 2014
4712014
Instance-sensitive fully convolutional networks
J Dai, K He, Y Li, S Ren, J Sun
European Conference on Computer Vision, 534-549, 2016
4092016
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
4002016
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
1162015
Computer Vision–ECCV 2016
K He, X Zhang, S Ren, J Sun, B Leibe, J Matas, N Sebe, M Welling
Springer, 2016
542016
D eep re sidu al le arning for i ma ge recognition
ZXY HE KM, SQ REN
T he 2 (016), 770-77, 2016
532016
Deep Residual Learning for Image Recognition Microsoft Research
K He, X Zhang, S Ren, J Sun
Computer Vision and Pattern Recognition (CVPR) 2016 IEEE Conference, 770-778, 0
9
J., 2015. Faster r-cnn: Towards real-time object detection with region proposal networks
S Ren, K He, RYS Girshick
Advances in neural information processing systems. Sl: sn, 91-99, 0
8
9Faster RYCNN: Toward realYtime object detection with region proposal networ s, 9 in
S Ren, K He, R Girshic, J Sum
NIPS, 2015
22015
Faster r-cnn: Towards real-time 553 object detection with region proposal networks
S Ren, K He, R Girshick, J Sun
Cortes, C., Lawrence 554, 91-99, 0
2
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Faster R-CNN: 通过 Region Proposal 网络实现实时目标检测
S Ren, K He, R Girshick, J Sun
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