Suo Qiu

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Common Coauthors
Coauthor Papers Together
Bolun Cai 4
Xiangmin Xu 3
Lingke Zeng 2
Tong Zhang 1
Tong Zhang 1
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ Network In Network 2013 Min Lin
Qiang Chen
Shuicheng Yan
3
+ PDF Chat Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ Empirical Evaluation of Rectified Activations in Convolutional Network 2015 Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
2
+ PDF Chat ImageNet Large Scale Visual Recognition Challenge 2015 Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
2
+ Revise Saturated Activation Functions 2016 Bing Xu
Ruitong Huang
Mu Li
2
+ PDF Chat Deep Residual Networks with Exponential Linear Unit 2016 A. Ulah Shah
Eashan Kadam
Hena Shah
Sameer Shinde
Sandip Shingade
2
+ Improving Deep Neural Network with Multiple Parametric Exponential Linear Units 2016 Yang Li
Chunxiao Fan
Yong Li
Qiong Wu
Yue Ming
2
+ PDF Chat Systematic evaluation of convolution neural network advances on the Imagenet 2017 Dmytro Mishkin
Nikolay Sergievskiy
Jiřı́ Matas
2
+ Improving Deep Learning by Inverse Square Root Linear Units (ISRLUs) 2017 Brad Carlile
Guy Delamarter
Paul Kinney
Akiko Marti
Brian Whitney
2
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
2
+ Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning 2016 Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
1
+ Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) 2015 Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
1
+ Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks 2016 Devansh Arpit
Yingbo Zhou
Bhargava Urala Kota
Venu Govindaraju
1
+ Self-Normalizing Neural Networks 2017 Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
1
+ Parametric Exponential Linear Unit for Deep Convolutional Neural Networks 2016 Ludovic Trottier
Philippe Giguère
Brahim Chaib-draa
1
+ PDF Chat Parametric Exponential Linear Unit for Deep Convolutional Neural Networks 2017 Ludovic Trottier
Philippe Giguère
Brahim Chaib-draa
1
+ PDF Chat Improving deep neural network with Multiple Parametric Exponential Linear Units 2018 Yang Li
Chunxiao Fan
Yong Li
Qiong Wu
Yue Ming
1
+ PDF Chat Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning 2017 Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
1
+ All you need is a good init 2015 Dmytro Mishkin
Jiřı́ Matas
1
+ CrowdNet: A Deep Convolutional Network for Dense Crowd Counting 2016 Lokesh Boominathan
Srinivas S S Kruthiventi
R. Venkatesh Babu
1
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
1
+ Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 2015 Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
1
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks 2016 Devansh Arpit
Yingbo Zhou
Bhargava Urala Kota
Venu Govindaraju
1
+ Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) 2015 Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
1
+ All you need is a good init 2015 Dmytro Mishkin
Jiřı́ Matas
1
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ PDF Chat DehazeNet: An End-to-End System for Single Image Haze Removal 2016 Bolun Cai
Xiangmin Xu
Kui Jia
Chunmei Qing
Dacheng Tao
1