Mengqing Jiang

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Recurrent Models of Visual Attention 2014 Volodymyr Mnih
Nicolas Heess
Alex Graves
Koray Kavukcuoglu
2
+ Multimodal Residual Learning for Visual QA 2016 Jin-Hwa Kim
Sangwoo Lee
Donghyun Kwak
Min-Oh Heo
Jeonghee Kim
Jung-Woo Ha
Byoung‐Tak Zhang
2
+ PDF Chat The application of two-level attention models in deep convolutional neural network for fine-grained image classification 2015 Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng Zhang
2
+ PDF Chat Scalable Object Detection Using Deep Neural Networks 2014 Dumitru Erhan
Christian Szegedy
Alexander Toshev
Dragomir Anguelov
2
+ PDF Chat Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning 2016 Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
2
+ Training Convolutional Networks with Noisy Labels 2014 Sainbayar Sukhbaatar
Joan Bruna
Manohar Paluri
Lubomir Bourdev
Rob Fergus
2
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
2
+ PDF Chat Convolutional feature masking for joint object and stuff segmentation 2015 Jifeng Dai
Kaiming He
Jian Sun
2
+ Training Very Deep Networks 2015 Rupesh K. Srivastava
Klaus Greff
JĂźrgen Schmidhuber
2
+ Wide Residual Networks 2016 Sergey Zagoruyko
Nikos Komodakis
2
+ PDF Chat Diversified Visual Attention Networks for Fine-Grained Object Classification 2017 Bo Zhao
Xiao Wu
Jiashi Feng
Qiang Peng
Shuicheng Yan
2
+ SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling 2015 Vijay Badrinarayanan
Ankur Handa
Roberto Cipolla
2
+ PDF Chat Stacked Hourglass Networks for Human Pose Estimation 2016 Alejandro Newell
Kaiyu Yang
Jia Deng
1
+ PDF Chat Deep Networks with Stochastic Depth 2016 Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
1
+ PDF Chat Aggregated Residual Transformations for Deep Neural Networks 2017 Saining Xie
Ross Girshick
Piotr DollĂĄr
Zhuowen Tu
Kaiming He
1
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ Identity Mappings in Deep Residual Networks 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Deep Residual Learning for Image Recognition 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Deep Networks with Stochastic Depth 2016 Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
1
+ Going Deeper with Convolutions 2014 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ From Facial Parts Responses to Face Detection: A Deep Learning Approach 2015 Shuo Yang
Ping Luo
Chen Change Loy
Xiaoou Tang
1
+ Stacked Hourglass Networks for Human Pose Estimation 2016 Alejandro Newell
Kaiyu Yang
Jia Deng
1
+ Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data 2015 Lisa Anne Hendricks
Subhashini Venugopalan
Marcus Rohrbach
Raymond J. Mooney
Kate Saenko
Trevor Darrell
1
+ Fully Convolutional Networks for Semantic Segmentation 2016 Jonathan Long
Evan Shelhamer
Trevor Darrell
1
+ Learning Deconvolution Network for Semantic Segmentation 2015 Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
1
+ Aggregated Residual Transformations for Deep Neural Networks 2016 Saining Xie
Ross Girshick
Piotr DollĂĄr
Zhuowen Tu
Kaiming He
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ PDF Chat Attention to Scale: Scale-Aware Semantic Image Segmentation 2016 Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
1
+ Training Very Deep Networks 2015 Rupesh K. Srivastava
Klaus Greff
JĂźrgen Schmidhuber
1
+ Multimodal Residual Learning for Visual QA 2016 Jin-Hwa Kim
Sang-Woo Lee
Donghyun Kwak
Min-Oh Heo
Jeonghee Kim
Jung-Woo Ha
Byoung‐Tak Zhang
1
+ Wide Residual Networks 2016 Sergey Zagoruyko
Nikos Komodakis
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
+ PDF Chat Learning a Bias Correction for Lidar-Only Motion Estimation 2018 Tim Y. Tang
David J. Yoon
François Pomerleau
Timothy D. Barfoot
1
+ PDF Chat Learning Deconvolution Network for Semantic Segmentation 2015 Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
1
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ DRAW: A Recurrent Neural Network For Image Generation 2015 Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
1
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
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
+ Recurrent Models of Visual Attention 2014 Volodymyr Mnih
Nicolas Heess
Alex Graves
Koray Kavukcuoglu
1
+ Attention to Scale: Scale-aware Semantic Image Segmentation 2015 Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
1
+ Deep Networks with Internal Selective Attention through Feedback Connections 2014 Marijn Stollenga
Jonathan Masci
Faustino Gomez
Juergen Schmidhuber
1
+ PDF Chat Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data 2016 Lisa Anne Hendricks
Subhashini Venugopalan
Marcus Rohrbach
Raymond J. Mooney
Kate Saenko
Trevor Darrell
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat From Facial Parts Responses to Face Detection: A Deep Learning Approach 2015 Shuo Yang
Ping Luo
Chen Change Loy
Xiaoou Tang
1
+ PDF Chat Identity Mappings in Deep Residual Networks 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1