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UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration

Oct 03, 2020
Jingfei Chang, Yang Lu, Ping Xue, Xing Wei, Zhen Wei

* 21 pages,7 figures and 5 tables 

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Robust saliency maps with decoy-enhanced saliency score

Feb 03, 2020
Yang Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble


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Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing

May 24, 2019
Yang Lu, Xiaohui Liang, Frederick W. B. Li


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ProductNet: a Collection of High-Quality Datasets for Product Representation Learning

Apr 18, 2019
Chu Wang, Lei Tang, Yang Lu, Shujun Bian, Hirohisa Fujita, Da Zhang, Zuohua Zhang, Yongning Wu


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Low-Power Computer Vision: Status, Challenges, Opportunities

Apr 15, 2019
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong Gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

* Preprint, Accepted by IEEE Journal on Emerging and Selected Topics in Circuits and Systems. arXiv admin note: substantial text overlap with arXiv:1810.01732 

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Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem

Jan 29, 2019
Yang Lu, Yiu-ming Cheung, Yuan Yan Tang

* 13 pages 

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Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions

Dec 31, 2018
Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu

* Submitted to MIPR 2019 (Accepted) 

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Cooperative Training of Descriptor and Generator Networks

Oct 29, 2018
Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu

* 18 pages 

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2018 Low-Power Image Recognition Challenge

Oct 03, 2018
Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

* 13 pages, workshop in 2018 CVPR, competition, low-power, image recognition 

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Learning Generative ConvNets via Multi-grid Modeling and Sampling

Apr 18, 2018
Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu

* CVPR 2018 

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Alternating Back-Propagation for Generator Network

Dec 06, 2016
Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu


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Online Object Tracking, Learning and Parsing with And-Or Graphs

Sep 03, 2016
Tianfu Wu, Yang Lu, Song-Chun Zhu

* 17 pages, Reproducibility: The source code is released with this paper for reproducing all results, which is available at https://github.com/tfwu/RGM-AOGTracker 

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A Theory of Generative ConvNet

May 31, 2016
Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu


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Learning FRAME Models Using CNN Filters

Dec 07, 2015
Yang Lu, Song-Chun Zhu, Ying Nian Wu


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Generative Modeling of Convolutional Neural Networks

Apr 09, 2015
Jifeng Dai, Yang Lu, Ying-Nian Wu


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LAGE: A Java Framework to reconstruct Gene Regulatory Networks from Large-Scale Continues Expression Data

Nov 09, 2012
Yang Lu, Mengying Wang, Kenny Q. Zhu, Bo Yuan

* 2 pages 

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LSBN: A Large-Scale Bayesian Structure Learning Framework for Model Averaging

Oct 18, 2012
Yang Lu, Mengying Wang, Menglu Li, Qili Zhu, Bo Yuan

* 13 pages, 6 figures 

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