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DeepFake-o-meter: An Open Platform for DeepFake Detection


Mar 02, 2021
Yuezun Li, Cong Zhang, Pu Sun, Honggang Qi, Siwei Lyu

* submitted to SAPDE 2021 

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Comparing acoustic analyses of speech data collected remotely


Mar 01, 2021
Cong Zhang, Kathleen Jepson, Georg Lohfink, Amalia Arvaniti

* 20 pages, 3 figures 

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VSEGAN: Visual Speech Enhancement Generative Adversarial Network


Feb 04, 2021
Xinmeng Xu, Yang Wang, Dongxiang Xu, Yiyuan Peng, Cong Zhang, Jie Jia, Binbin Chen


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AMFFCN: Attentional Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement


Feb 04, 2021
Xinmeng Xu, Yang Wang, Dongxiang Xu, Yiyuan Peng, Cong Zhang, Jie Jia, Binbin Chen

* arXiv admin note: text overlap with arXiv:2101.05975 

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MFFCN: Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement


Feb 04, 2021
Xinmeng Xu, Yang Wang, Dongxiang Xu, Yiyuan Peng, Cong Zhang, Jie Jia, Yang Wang, Binbin Chen


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Attentional Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement


Jan 15, 2021
Xinmeng Xu, Yang Wang, Dongxiang Xu, Cong Zhang, Yiyuan Peng, Jie Jia, Binbin Chen

* arXiv admin note: text overlap with arXiv:2101.05975 

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Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images


Dec 09, 2020
Esteban Fernández Morales, Cong Zhang, Guanghua Xiao, Chul Moon, Qiwei Li


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Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework


Nov 17, 2020
Wanshi Hong, Cong Zhang, Cy Chan, Bin Wang


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Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning


Oct 23, 2020
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu


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DSP: A Differential Spatial Prediction Scheme for Comprehensive real industrial datasets


Aug 23, 2020
Junjie Zhang, Cong Zhang, Neal N. Xiong


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T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos


Aug 03, 2017
Kai Kang, Hongsheng Li, Junjie Yan, Xingyu Zeng, Bin Yang, Tong Xiao, Cong Zhang, Zhe Wang, Ruohui Wang, Xiaogang Wang, Wanli Ouyang

* ImageNet 2015 VID challenge tech report. The first two authors share co-first authorship. Accepted as a Transaction paper by T-CSVT Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis 

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Factors in Finetuning Deep Model for object detection


Apr 14, 2016
Wanli Ouyang, Xiaogang Wang, Cong Zhang, Xiaokang Yang

* CVPR2016 camera ready version. Our ImageNet large scale recognition challenge (ILSVRC15) object detection results (rank 3rd for provided data and 2nd for external data) are based on this method. Code available later on http://www.ee.cuhk.edu.hk/~wlouyang/projects/ImageNetFactors/CVPR16.html 

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