Daoyu Lin

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Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Unsupervised Visual Representation Learning by Context Prediction 2015 Carl Doersch
Abhinav Gupta
Alexei A. Efros
3
+ PDF Chat Learning to generate chairs with convolutional neural networks 2015 Alexey Dosovitskiy
Jost Tobias Springenberg
Thomas Brox
2
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
2
+ TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems 2016 MartĹ́n Abadi
Ashish Agarwal
Paul Barham
Eugene Brevdo
Zhifeng Chen
Craig Citro
Gregory S. Corrado
Andy Davis
Jay B. Dean
Matthieu Devin
2
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
2
+ Efficient Estimation of Word Representations in Vector Space 2013 TomĂĄĹĄ Mikolov
Kai Chen
Greg S. Corrado
Jay B. Dean
2
+ PDF Chat Remote Sensing Image Scene Classification: Benchmark and State of the Art 2017 Gong Cheng
Junwei Han
Xiaoqiang Lu
2
+ PDF Chat Learning Deep Features for Discriminative Localization 2016 Bolei Zhou
Aditya Khosla
Àgata Lapedriza
Aude Oliva
Antonio Torralba
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015 Alec Radford
Luke Metz
Soumith Chintala
2
+ Improved Techniques for Training GANs 2016 Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
2
+ PDF Chat Accurate Image Super-Resolution Using Very Deep Convolutional Networks 2016 Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
1
+ PDF Chat Towards better exploiting convolutional neural networks for remote sensing scene classification 2016 Keiller Nogueira
OtĂĄvio A. B. Penatti
Jefersson A. dos Santos
1
+ PDF Chat Generating Visual Explanations 2016 Lisa Anne Hendricks
Zeynep Akata
Marcus Rohrbach
Jeff Donahue
Bernt Schiele
Trevor Darrell
1
+ PDF Chat Convolutional Two-Stream Network Fusion for Video Action Recognition 2016 Christoph Feichtenhofer
Axel Pinz
Andrew Zisserman
1
+ InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets 2016 Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
1
+ Hierarchical Question-Image Co-Attention for Visual Question Answering 2016 Jiasen Lu
Jianwei Yang
Dhruv Batra
Devi Parikh
1
+ “Why Should I Trust You?”: Explaining the Predictions of Any Classifier 2016 Marco Ribeiro
Sameer Singh
Carlos Guestrin
1
+ PDF Chat Boosting Image Captioning with Attributes 2017 Ting Yao
Yingwei Pan
Yehao Li
Zhaofan Qiu
Tao Mei
1
+ Image-to-Image Translation with Conditional Adversarial Networks 2016 Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
1
+ PDF Chat Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering 2017 Yash Goyal
Tejas Khot
Douglas Summers-Stay
Dhruv Batra
Devi Parikh
1
+ PDF Chat Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach 2017 Yunchao Wei
Jiashi Feng
Xiaodan Liang
Ming‐Ming Cheng
Yao Zhao
Shuicheng Yan
1
+ PDF Chat Deep Reinforcement Learning-Based Image Captioning with Embedding Reward 2017 Zhou Ren
Xiaoyu Wang
Ning Zhang
Xutao Lv
Li-Jia Li
1
+ Residual Attention Network for Image Classification 2017 Fei Wang
Mengqing Jiang
Chen Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
1
+ An Overview of Multi-Task Learning in Deep Neural Networks 2017 Sebastian Ruder
1
+ PDF Chat Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks 2017 Guosheng Hu
Hua Yang
Yang Yuan
Zhihong Zhang
Zheng Lu
Sankha Mukherjee
Timothy M. Hospedales
Neil M. Robertson
Yongxin Yang
1
+ PDF Chat Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering 2018 Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Jay Gould
Lei Zhang
1
+ PDF Chat Squeeze-and-Excitation Networks 2018 Jie Hu
Li Shen
Gang Sun
1
+ PDF Chat Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks 2018 Aditya Chattopadhay
Anirban Sarkar
Prantik Howlader
Vineeth N Balasubramanian
1
+ Learning Multiple Tasks with Multilinear Relationship Networks 2017 Mingsheng Long
Zhangjie Cao
Jianmin Wang
Philip S. Yu
1
+ PDF Chat Top-Down Neural Attention by Excitation Backprop 2017 Jianming Zhang
Sarah Adel Bargal
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
1
+ Unsupervised Representation Learning by Predicting Image Rotations 2018 Spyros Gidaris
Praveer Singh
Nikos Komodakis
1
+ On the Convergence of Adam and Beyond 2019 Sashank J. Reddi
Satyen Kale
Sanjiv Kumar
1
+ Learn To Pay Attention 2018 Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip H. S. Torr
1
+ Weakly Supervised Instance Segmentation using Class Peak Response 2018 Yanzhao Zhou
Yi Zhu
Qixiang Ye
Qiang Qiu
Jianbin Jiao
1
+ PDF Chat Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition 2018 Yaming Wang
Vlad I. Morariu
Larry S. Davis
1
+ Deep Attentional Structured Representation Learning for Visual Recognition 2018 Krishna Kanth Nakka
Mathieu Salzmann
1
+ RISE: Randomized Input Sampling for Explanation of Black-box Models. 2018 Vitali Petsiuk
Abir Das
Kate Saenko
1
+ PDF Chat Grounding Visual Explanations 2018 Lisa Anne Hendricks
Ronghang Hu
Trevor Darrell
Zeynep Akata
1
+ PDF Chat CBAM: Convolutional Block Attention Module 2018 Sanghyun Woo
Jongchan Park
Joon‐Young Lee
In So Kweon
1
+ PDF Chat Textual Explanations for Self-Driving Vehicles 2018 Jinkyu Kim
Anna Rohrbach
Trevor Darrell
John Canny
Zeynep Akata
1
+ PDF Chat Improved Image Captioning via Policy Gradient optimization of SPIDEr 2017 Siqi Liu
Zhenhai Zhu
Ye Ning
Sergio Guadarrama
Kevin Murphy
1
+ PDF Chat Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization 2017 Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
1
+ InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets 2016 Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
1
+ Striving for Simplicity: The All Convolutional Net 2014 Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
1
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
1
+ BIM: Towards Quantitative Evaluation of Interpretability Methods with Ground Truth. 2019 Mengjiao Yang
Been Kim
1
+ PDF Chat Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly 2018 Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
1
+ PDF Chat Tell Me Where to Look: Guided Attention Inference Network 2018 Kunpeng Li
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
Yun Fu
1
+ PDF Chat Multimodal Explanations: Justifying Decisions and Pointing to the Evidence 2018 Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Anna Rohrbach
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
1