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RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Nov 12, 2020
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou

* 10 pages, 7 figures 

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Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond

Aug 30, 2020
Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang


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Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method

Feb 28, 2020
Mingxuan Li, Jingyuan Wang, Yufan Wu, Shuchang Zhou


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Learning to Paint with Model-based Deep Reinforcement Learning

Mar 22, 2019
Zhewei Huang, Wen Heng, Shuchang Zhou

* 11 pages, 13 figures 

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Stroke-based Character Reconstruction

Oct 17, 2018
Zhewei Huang, Wen Heng, Yuanzheng Tao, Shuchang Zhou

* 6 pages, 7 figures 

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Harmonic Adversarial Attack Method

Aug 08, 2018
Wen Heng, Shuchang Zhou, Tingting Jiang


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Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks

May 17, 2018
Guangzeng Xie, Yitan Wang, Shuchang Zhou, Zhihua Zhang


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Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments

Apr 02, 2018
Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Miłoś, Błażej Osiński, Andrew Melnik, Malte Schilling, Helge Ritter, Sean Carroll, Jennifer Hicks, Sergey Levine, Marcel Salathé, Scott Delp

* 27 pages, 17 figures 

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DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Feb 02, 2018
Shuchang Zhou, Yuxin Wu, Zekun Ni, Xinyu Zhou, He Wen, Yuheng Zou


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Learning to Run with Actor-Critic Ensemble

Dec 25, 2017
Zhewei Huang, Shuchang Zhou, BoEr Zhuang, Xinyu Zhou

* 3 pages, 4 figures 

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EAST: An Efficient and Accurate Scene Text Detector

Jul 10, 2017
Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang

* Accepted to CVPR 2017, fix equation (3) 

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Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks

Jun 22, 2017
Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou


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GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

May 14, 2017
Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He

* Github: https://github.com/Prinsphield/GeneGAN 

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Training Bit Fully Convolutional Network for Fast Semantic Segmentation

Dec 01, 2016
He Wen, Shuchang Zhou, Zhe Liang, Yuxiang Zhang, Dieqiao Feng, Xinyu Zhou, Cong Yao


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Effective Quantization Methods for Recurrent Neural Networks

Nov 30, 2016
Qinyao He, He Wen, Shuchang Zhou, Yuxin Wu, Cong Yao, Xinyu Zhou, Yuheng Zou


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Scene Text Detection via Holistic, Multi-Channel Prediction

Jul 05, 2016
Cong Yao, Xiang Bai, Nong Sang, Xinyu Zhou, Shuchang Zhou, Zhimin Cao

* 10 pages, 9 figures, 5 tables 

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Exploiting Local Structures with the Kronecker Layer in Convolutional Networks

Feb 04, 2016
Shuchang Zhou, Jia-Nan Wu, Yuxin Wu, Xinyu Zhou


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Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4

Feb 03, 2016
Cong Yao, Jianan Wu, Xinyu Zhou, Chi Zhang, Shuchang Zhou, Zhimin Cao, Qi Yin

* 3 pages, 2 figures, 5 tables 

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Multilinear Map Layer: Prediction Regularization by Structural Constraint

Jul 30, 2015
Shuchang Zhou, Yuxin Wu


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Compression of Fully-Connected Layer in Neural Network by Kronecker Product

Jul 22, 2015
Shuchang Zhou, Jia-Nan Wu


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ICDAR 2015 Text Reading in the Wild Competition

Jun 10, 2015
Xinyu Zhou, Shuchang Zhou, Cong Yao, Zhimin Cao, Qi Yin

* 3 pages, 2 figures 

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Group Orbit Optimization: A Unified Approach to Data Normalization

Oct 03, 2014
Shuchang Zhou, Zhihua Zhang, Xiaobing Feng


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Kinetic Energy Plus Penalty Functions for Sparse Estimation

Jul 06, 2014
Zhihua Zhang, Shibo Zhao, Zebang Shen, Shuchang Zhou


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