Yao Zhao

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Google ∙ BEIJING JIAOTONG UNIVERSITY

Applied Scientist II at Microsoft AI & Research

Correlation Filter Selection for Visual Tracking Using Reinforcement Learning

Correlation filter has been proven to be an effective tool for a number ...
11/08/2018 ∙ by Yanchun Xie, et al. ∙ 28 ∙ share

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EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

Time series prediction with deep learning methods, especially long short...
11/09/2018 ∙ by Youru Li, et al. ∙ 12 ∙ share

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Fast Template Matching and Update for Video Object Tracking and Segmentation

In this paper, the main task we aim to tackle is the multi-instance semi...
04/16/2020 ∙ by Mingjie Sun, et al. ∙ 11 ∙ share

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To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene

Due to the deteriorated conditions of lack and uneven lighting, nightti...
12/12/2019 ∙ by Zhenfeng Zhu, et al. ∙ 10 ∙ share

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Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning

In this paper, we introduce a deep multiple description coding (MDC) fra...
01/12/2020 ∙ by Lijun Zhao, et al. ∙ 10 ∙ share

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Devil in the Details: Towards Accurate Single and Multiple Human Parsing

Human parsing has received considerable interest due to its wide applica...
09/17/2018 ∙ by Ting Liu, et al. ∙ 8 ∙ share

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Segmentation Mask Guided End-to-End Person Search

Person search aims to search for a target person among multiple images r...
08/27/2019 ∙ by Dingyuan Zheng, et al. ∙ 7 ∙ share

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Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation

Most deep image smoothing operators are always trained repetitively when...
01/12/2020 ∙ by Lijun Zhao, et al. ∙ 7 ∙ share

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Virtual Codec Supervised Re-Sampling Network for Image Compression

In this paper, we propose an image re-sampling compression method by lea...
06/22/2018 ∙ by Lijun Zhao, et al. ∙ 6 ∙ share

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Edge Heuristic GAN for Non-uniform Blind Deblurring

Non-uniform blur, mainly caused by camera shake and motions of multiple ...
07/11/2019 ∙ by Shuai Zheng, et al. ∙ 2 ∙ share

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PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation

LiDAR sensors can provide dependable 3D spatial information at a low fre...
09/16/2019 ∙ by Haojie Liu, et al. ∙ 2 ∙ share

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Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing

In this paper, two local activity-tuned filtering frameworks are propose...
07/09/2017 ∙ by Lijun Zhao, et al. ∙ 0 ∙ share

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Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

We investigate a principle way to progressively mine discriminative obje...
03/24/2017 ∙ by Yunchao Wei, et al. ∙ 0 ∙ share

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Source Camera Identification Based On Content-Adaptive Fusion Network

Source camera identification is still a hard task in forensics community...
03/15/2017 ∙ by Pengpeng Yang, et al. ∙ 0 ∙ share

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A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval

This paper proposes a new evaluation protocol for cross-media retrieval ...
03/10/2017 ∙ by Ruoyu Liu, et al. ∙ 0 ∙ share

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Camera Fingerprint: A New Perspective for Identifying User's Identity

Identifying user's identity is a key problem in many data mining applica...
10/25/2016 ∙ by Xiang Jiang, et al. ∙ 0 ∙ share

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STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation

Recently, significant improvement has been made on semantic object segme...
09/10/2015 ∙ by Yunchao Wei, et al. ∙ 0 ∙ share

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Indexing of CNN Features for Large Scale Image Search

Convolutional neural network (CNN) features which represent images with ...
08/02/2015 ∙ by Ruoyu Liu, et al. ∙ 0 ∙ share

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Modality-dependent Cross-media Retrieval

In this paper, we investigate the cross-media retrieval between images a...
06/22/2015 ∙ by Yunchao Wei, et al. ∙ 0 ∙ share

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CNN: Single-label to Multi-label

Convolutional Neural Network (CNN) has demonstrated promising performanc...
06/22/2014 ∙ by Yunchao Wei, et al. ∙ 0 ∙ share

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Kernel Reconstruction ICA for Sparse Representation

Independent Component Analysis (ICA) is an effective unsupervised tool t...
04/09/2013 ∙ by Yanhui Xiao, et al. ∙ 0 ∙ share

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Learning a Virtual Codec Based on Deep Convolutional Neural Network to Compress Image

Although deep convolutional neural network has been proved to efficientl...
12/16/2017 ∙ by Lijun Zhao, et al. ∙ 0 ∙ share

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Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks

In this paper, we propose a end-to-end mixed-resolution image compressio...
02/02/2018 ∙ by Lijun Zhao, et al. ∙ 0 ∙ share

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Adaptive Streaming in Interactive Multiview Video Systems

Multiview applications endow final users with the possibility to freely ...
02/25/2018 ∙ by Xue Zhang, et al. ∙ 0 ∙ share

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Non-Local Graph-Based Prediction For Reversible Data Hiding In Images

Reversible data hiding (RDH) is desirable in applications where both the...
02/20/2018 ∙ by Qi Chang, et al. ∙ 0 ∙ share

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Robust Contrast Enhancement Forensics Using Convolutional Neural Networks

Contrast enhancement(CE) forensics has always been attracted widely atte...
03/13/2018 ∙ by Pengpeng Yang, et al. ∙ 0 ∙ share

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Secure Detection of Image Manipulation by means of Random Feature Selection

We address the problem of data-driven image manipulation detection in th...
02/02/2018 ∙ by Zhipeng Chen, et al. ∙ 0 ∙ share

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Security Consideration For Deep Learning-Based Image Forensics

Recently, image forensics community has paied attention to the research ...
03/29/2018 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Adversarial Attacks and Defences Competition

To accelerate research on adversarial examples and robustness of machine...
03/31/2018 ∙ by Alexey Kurakin, et al. ∙ 0 ∙ share

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Multiple Description Convolutional Neural Networks for Image Compression

Multiple description coding (MDC) is able to stably transmit the signal ...
01/20/2018 ∙ by Lijun Zhao, et al. ∙ 0 ∙ share

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Deep Multiple Description Coding by Learning Scalar Quantization

In this paper, we propose a deep multiple description coding framework, ...
11/05/2018 ∙ by Lijun Zhao, et al. ∙ 0 ∙ share

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Double JPEG Compression Detection by Exploring the Correlations in DCT Domain

In the field of digital image processing, JPEG image compression techniq...
06/05/2018 ∙ by Pengpeng Yang, et al. ∙ 0 ∙ share

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Architecture Selection via the Trade-off Between Accuracy and Robustness

We provide a general framework for characterizing the trade-off between ...
06/04/2019 ∙ by Zhun Deng, et al. ∙ 0 ∙ share

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ProLFA: Representative Prototype Selection for Local Feature Aggregation

Given a set of hand-crafted local features, acquiring a global represent...
10/24/2019 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries

Zero-shot learning (ZSL) has received extensive attention recently espec...
10/24/2019 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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Hierarchical Prototype Learning for Zero-Shot Recognition

Zero-Shot Learning (ZSL) has received extensive attention and successes ...
10/24/2019 ∙ by Xingxing Zhang, et al. ∙ 0 ∙ share

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Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples

In this paper, we aim to tackle the one-shot person re-identification pr...
11/02/2019 ∙ by Hui Li, et al. ∙ 0 ∙ share

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Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Graph representation learning aims to encode all nodes of a graph into l...
12/04/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

Recent work pre-training Transformers with self-supervised objectives on...
12/18/2019 ∙ by Jingqing Zhang, et al. ∙ 0 ∙ share

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From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition

In zero-shot learning (ZSL), the samples to be classified are usually pr...
02/10/2020 ∙ by Fuzhen Li, et al. ∙ 0 ∙ share

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Age of Information Analysis for Dynamic Spectrum Sharing

Timely information updates are critical to time-sensitive applications i...
01/28/2020 ∙ by Yao Zhao, et al. ∙ 0 ∙ share

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Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics

Contrast enhancement (CE) forensics techniques have always been of great...
10/17/2019 ∙ by Pengpeng Yang, et al. ∙ 0 ∙ share

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Yao Zhao

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