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All published works
Action
Title
Year
Authors
+
PDF
Chat
FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks
2018
Suo Qiu
Xiangmin Xu
Bolun Cai
+
Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification
2018
Suo Qiu
+
PDF
Chat
Multi-scale convolutional neural networks for crowd counting
2017
Lingke Zeng
Xiangmin Xu
Bolun Cai
Suo Qiu
Tong Zhang
+
Flexible Rectified Linear Units for Improving Convolutional Neural Networks
2017
Suo Qiu
Bolun Cai
+
Multi-scale Convolutional Neural Networks for Crowd Counting
2017
Lingke Zeng
Xiangmin Xu
Bolun Cai
Suo Qiu
Tong Zhang
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