Jing Hu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration	2022	Ziwei Luo Jing Hu Xin Wang Shu Hu Bin Kong Youbing Yin Qi Song Xi Wu Siwei Lyu
+	Stochastic Actor-Executor-Critic for Image-to-Image Translation	2021	Ziwei Luo Jing Hu Xin Wang Siwei Lyu Bin Kong Youbing Yin Qi Song Xi Wu
+ PDF Chat	Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning	2019	Shanhui Sun Jing Hu Mingqing Yao Jinrong Hu Xiaodong Yang Qi Song Xi Wu

Common Coauthors

Coauthor	Papers Together
Ziwei Luo	2
Siwei Lyu	2
Youbing Yin	2
Qi Song	2
Xi Wu	2
Mingqing Yao	1
Xiaodong Yang	1
Shanhui Sun	1
Xin Wang	1
Xin Wang	1
Shu Hu	1
Bin Kong	1
Qi Song	1
Jinrong Hu	1
Xi Wu	1
Bin Kong	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Fast Predictive Image Registration	2016	Xiao Yang Roland Kwitt Marc Niethammer	2
+	Soft Actor-Critic Algorithms and Applications	2018	Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha Jie Tan Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel	2
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	2
+ PDF Chat	An Artificial Agent for Robust Image Registration	2017	Rui Liao Shun Miao Pierre de Tournemire Saša Grbić Ali Kamen Tommaso Mansi Dorin Comaniciu	2
+ PDF Chat	Active Object Localization with Deep Reinforcement Learning	2015	Juan C. Caicedo Svetlana Lazebnik	2
+ PDF Chat	End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network	2017	Bob D. de Vos Floris F. Berendsen Max A. Viergever Marius Staring Ivana Išgum	1
+	End-to-end Active Object Tracking via Reinforcement Learning	2017	Wenhan Luo Peng Sun Fangwei Zhong Wei Liu Tong Zhang Yizhou Wang	1
+ PDF Chat	Perceptual Adversarial Networks for Image-to-Image Transformation	2018	Chaoyue Wang Chang Xu Chaohui Wang Dacheng Tao	1
+	Autonomous Driving in Reality with Reinforcement Learning and Image Translation	2018	Bowen Tan Nayun Xu Bingyu Kong	1
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	1
+	The relativistic discriminator: a key element missing from standard GAN	2018	Alexia Jolicoeur‐Martineau	1
+	Visual Reinforcement Learning with Imagined Goals	2018	Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine	1
+ PDF Chat	A deep learning framework for unsupervised affine and deformable image registration	2018	Bob D. de Vos Floris F. Berendsen Max A. Viergever Hessam Sokooti Marius Staring Ivana Išgum	1
+ PDF Chat	Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces	2019	Adrian V. Dalca Guha Balakrishnan John Guttag Mert R. Sabuncu	1
+ PDF Chat	Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning	2019	Shanhui Sun Jing Hu Mingqing Yao Jinrong Hu Xiaodong Yang Qi Song Xi Wu	1
+	Hierarchical Object Detection with Deep Reinforcement Learning	2016	Míriam Bellver Xavier Giró-i-Nieto Ferran Marqués Jordi Torres	1
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	1
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	1
+ PDF Chat	Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting	2019	Yanhong Zeng Jianlong Fu Hongyang Chao Baining Guo	1
+ PDF Chat	Pluralistic Image Completion	2019	Chuanxia Zheng Tat‐Jen Cham Jianfei Cai	1
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	1
+ PDF Chat	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs	2018	Ting-Chun Wang Ming-Yu Liu Jun-Yan Zhu Andrew Tao Jan Kautz Bryan Catanzaro	1
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	1
+	The relativistic discriminator: a key element missing from standard GAN	2018	Alexia Jolicoeur‐Martineau	1
+	Visual Reinforcement Learning with Imagined Goals	2018	Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine	1
+ PDF Chat	Recursive Cascaded Networks for Unsupervised Medical Image Registration	2019	Shengyu Zhao Yue Dong Eric Chang Yan Xu	1
+	Recurrent Registration Neural Networks for Deformable Image Registration	2019	Robin Sandkühler Simon Andermatt Grzegorz Bauman Sylvia Nyilas Christoph Jud Philippe C. Cattin	1
+	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images	2019	Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joëlle Pineau Rob Fergus	1
+ PDF Chat	DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration	2020	Jian Wang Miaomiao Zhang	1
+ PDF Chat	Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks	2020	Tony C. W. Mok Albert C. S. Chung	1
+ PDF Chat	Generative Image Inpainting with Contextual Attention	2018	Jiahui Yu Zhe Lin Shuicheng Yan Xiaohui Shen Xin Lu Thomas S. Huang	1
+ PDF Chat	An Unsupervised Learning Model for Deformable Medical Image Registration	2018	Guha Balakrishnan Amy Zhao Mert R. Sabuncu Adrian V. Dalca John V. Guttag	1
+ PDF Chat	Deep learning in medical image registration: a survey	2020	Grant Haskins Uwe Krüger Pingkun Yan	1
+ PDF Chat	VoxelMorph: A Learning Framework for Deformable Medical Image Registration	2019	Guha Balakrishnan Amy Zhao Mert R. Sabuncu John V. Guttag Adrian V. Dalca	1
+	Region Normalization for Image Inpainting	2019	Changyuan Yu Zongyu Guo Xin Jin Shilin Wu Zhibo Chen Weiping Li Zhizheng Zhang Sen Liu	1
+	Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model	2019	Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine	1
+	Improved Training of Wasserstein GANs	2017	Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville	1
+	Some methods for classification and analysis of multivariate observations	1967	James B. MacQueen	1
+	The Liver Tumor Segmentation Benchmark (LiTS)	2019	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand	1
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	1
+ PDF Chat	A Deep Metric for Multimodal Registration	2016	Martin Simonovsky Benjamín Gutiérrez-Becker Diana Mateus Nassir Navab Nikos Komodakis	1
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	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