Jian Yang

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All published works

Action	Title	Year	Authors
+ PDF Chat	SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis	2024	Huiqian Luo Xiaotian Yu Shengxuming Zhang Jiabin Xia Jian Yang Yuning Sun Liang Xue Mingli Song Jing Zhang Xiuming Zhang
+ PDF Chat	FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation	2024	Tianyu Zhang Guocheng Qian Jin Xie Jian Yang
+ PDF Chat	HazyDet: Open-source Benchmark for Drone-view Object Detection with Depth-cues in Hazy Scenes	2024	Changfeng Feng Zhenyuan Chen Renke Kou Guangwei Gao Chunping Wang Xiang Li Xiangbo Shu Yimian Dai Qiang Fu Jian Yang
+	Going Deeper in Frequency Convolutional Neural Network: A Theoretical Perspective	2021	Xiaohan Zhu Zhen Cui Tong Zhang Yong Li Jian Yang
+	Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation	2021	Zheng Li Xiang Li Lingfeng Yang Jian Yang Zhigeng Pan
+ PDF Chat	Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks	2020	Jun Chen Yong Liu Hao Zhang Shengnan Hou Jian Yang
+	Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection	2020	Xiang Li Wenhai Wang Xiaolin Hu Jun Li Jinhui Tang Jian Yang
+ PDF Chat	DSFD: Dual Shot Face Detector	2019	Jian Li Yabiao Wang Changan Wang Ying Tai Jianjun Qian Jian Yang Chengjie Wang Jilin Li Feiyue Huang
+	2017 Robotic Instrument Segmentation Challenge.	2019	Max Allan Alexey A. Shvets Thomas Kurmann Zichen Zhang Rahul Duggal Yun-Hsuan Su Nicola Rieke Iro Laina Niveditha Kalavakonda Sebastian Bodenstedt
+	Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks	2019	Xiang Li Xiaolin Hu Jian Yang
+	Understanding the Disharmony between Weight Normalization Family and Weight Decay: $ε-$shifted $L_2$ Regularizer	2019	Xiang Li Shuo Chen Yan Xia Jian Yang
+	Shape Robust Text Detection with Progressive Scale Expansion Network	2018	Xiang Li Wenhai Wang Wenbo Hou Ruo-Ze Liu Tong Lü Jian Yang

Common Coauthors

Coauthor	Papers Together
Xiang Li	4
Wenhai Wang	2
Xiaolin Hu	2
Ruo-Ze Liu	1
Lena Maier‐Hein	1
Chengjie Wang	1
Zhen Cui	1
Renke Kou	1
Yabiao Wang	1
Ying Tai	1
Yun-Hsuan Su	1
Guocheng Qian	1
Sebastian Bodenstedt	1
Jinhui Tang	1
Changfeng Feng	1
Wenbo Hou	1
Max Allan	1
Guangwei Gao	1
Chunping Wang	1
Xiangbo Shu	1
Mingli Song	1
Zunlei Feng	1
Zhigeng Pan	1
Nicola Rieke	1
Zhenyuan Chen	1
Jiabin Xia	1
Rahul Duggal	1
Alexey A. Shvets	1
Luis C. García-Peraza	1
Tong Lü	1
Iro Laina	1
Niveditha Kalavakonda	1
Jianjun Qian	1
Qiang Fu	1
Shengxuming Zhang	1
Shengnan Hou	1
Yan Xia	1
Danail Stoyanov	1
Xiuming Zhang	1
Thomas Kurmann	1
Jin Xie	1
Hao Zhang	1
Yong Li	1
Jun Li	1
Jian Li	1
Zheng Li	1
Tianyu Zhang	1
Xiang Li	1
Wenqi Li	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	8
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	5
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	5
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	5
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	4
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	3
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	3
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Cascade R-CNN: Delving Into High Quality Object Detection	2018	Zhaowei Cai Nuno Vasconcelos	3
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	3
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	3
+ PDF Chat	Res2Net: A New Multi-Scale Backbone Architecture	2019	Shanghua Gao Ming‐Ming Cheng Kai Zhao Xinyu Zhang Ming–Hsuan Yang Philip H. S. Torr	2
+ PDF Chat	Stacked Hourglass Networks for Human Pose Estimation	2016	Alejandro Newell Kaiyu Yang Jia Deng	2
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ 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	2
+	Micro-Batch Training with Batch-Channel Normalization and Weight Standardization	2019	Siyuan Qiao Huiyu Wang Chenxi Liu Wei Shen Alan Yuille	2
+	Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection	2020	Xiang Li Wenhai Wang Lijun Wu Shuo Chen Xiaolin Hu Jun Li Jinhui Tang Jian Yang	2
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	2
+	MMDetection: Open MMLab Detection Toolbox and Benchmark.	2019	Kai Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong Xiaoxiao Li Shuyang Sun Wansen Feng Ziwei Liu Jiarui Xu	2
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	2
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	2
+	Mixed Link Networks	2018	Wenhai Wang Xiang Li Jian Yang Tong Lü	2
+ PDF Chat	Selective Kernel Networks	2019	Xiang Li Wenhai Wang Xiaolin Hu Jian Yang	2
+ PDF Chat	FCOS: Fully Convolutional One-Stage Object Detection	2019	Zhi Tian Chunhua Shen Hao Chen Tong He	2
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	1
+ PDF Chat	Quantized Convolutional Neural Networks for Mobile Devices	2016	Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng	1
+	Fast Training of Convolutional Networks through FFTs	2013	Michaël Mathieu Mikael Henaff Yann LeCun	1
+ PDF Chat	An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition	2016	Baoguang Shi Xiang Bai Cong Yao	1
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2015	Vijay Badrinarayanan Alex Kendall Roberto Cipolla	1
+	FitNets: Hints for Thin Deep Nets	2014	Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta Yoshua Bengio	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+	Compressing Neural Networks with the Hashing Trick	2015	Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen	1
+	Deeply-Supervised Nets	2014	Chen‐Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu	1
+	An overview of gradient descent optimization algorithms	2016	Sebastian Ruder	1
+	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials	2012	Philipp Krähenbühl Vladlen Koltun	1
+	Deep Learning with Limited Numerical Precision	2015	Suyog Gupta Ankur Agrawal Kailash Gopalakrishnan Pritish Narayanan	1
+	One weird trick for parallelizing convolutional neural networks	2014	Alex Krizhevsky	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	1
+	Pruning Filters for Efficient ConvNets	2016	Hao Li Asim Kadav Igor Đurđanović Hanan Samet Hans Peter Graf	1
+	Instance Normalization: The Missing Ingredient for Fast Stylization	2016	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	1
+ PDF Chat	Detecting Text in Natural Image with Connectionist Text Proposal Network	2016	Zhi Tian Weilin Huang Tong He Pan He Yu Qiao	1
+ 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	1
+	A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection	2016	Zhaowei Cai Quanfu Fan Rogério Feris Nuno Vasconcelos	1
+	Bidirectional Attention Flow for Machine Comprehension	2016	Min Joon Seo Aniruddha Kembhavi Ali Farhadi Hannaneh Hajishirzi	1
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	1