Yang Zhao

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions

Human-motion generation is a long-standing challenging task due to the r...
12/21/2019 ∙ by Zhenyi Wang, et al. ∙ 9 ∙ share

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Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning

3D face reconstruction from a single 2D image is a challenging problem w...
03/22/2019 ∙ by Xiaoguang Tu, et al. ∙ 8 ∙ share

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High-Resolution Representations for Labeling Pixels and Regions

High-resolution representation learning plays an essential role in many ...
04/09/2019 ∙ by Ke Sun, et al. ∙ 6 ∙ share

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MobileFAN: Transferring Deep Hidden Representation for Face Alignment

Facial landmark detection is a crucial prerequisite for many face analys...
08/11/2019 ∙ by Yang Zhao, et al. ∙ 5 ∙ share

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Automatic Spatially-aware Fashion Concept Discovery

This paper proposes an automatic spatially-aware concept discovery appro...
08/03/2017 ∙ by Xintong Han, et al. ∙ 0 ∙ share

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GUN: Gradual Upsampling Network for single image super-resolution

In this paper, we propose an efficient super-resolution (SR) method base...
03/13/2017 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Local Patch Classification Based Framework for Single Image Super-Resolution

Recent learning-based super-resolution (SR) methods often focus on the d...
03/12/2017 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Towards Neural Machine Translation with Partially Aligned Corpora

While neural machine translation (NMT) has become the new paradigm, the ...
11/03/2017 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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A Conditional Variational Framework for Dialog Generation

Deep latent variable models have been shown to facilitate the response g...
04/30/2017 ∙ by Xiaoyu Shen, et al. ∙ 0 ∙ share

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Multispectral Image Intrinsic Decomposition via Low Rank Constraint

Multispectral images contain many clues of surface characteristics of th...
02/24/2018 ∙ by Qian Huang, et al. ∙ 0 ∙ share

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Phrase Table as Recommendation Memory for Neural Machine Translation

Neural Machine Translation (NMT) has drawn much attention due to its pro...
05/25/2018 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Variance Reduction in Stochastic Particle-Optimization Sampling

Stochastic particle-optimization sampling (SPOS) is a recently-developed...
11/20/2018 ∙ by Jianyi Zhang, et al. ∙ 0 ∙ share

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Self-Adversarially Learned Bayesian Sampling

Scalable Bayesian sampling is playing an important role in modern machin...
11/21/2018 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Synchronous Bidirectional Inference for Neural Sequence Generation

In sequence to sequence generation tasks (e.g. machine translation and a...
02/24/2019 ∙ by Jiajun Zhang, et al. ∙ 0 ∙ share

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An Adapted Geographically Weighted Lasso(Ada-GWL) model for estimating metro ridership

Ridership estimation at station level plays a critical role in metro tra...
04/02/2019 ∙ by Yuxin He, et al. ∙ 0 ∙ share

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Modeling and Analyzing Spatiotemporal Factors Influencing Metro Station Ridership in Taipei: An Approach based on General Estimating Equation

Modeling and analyzing metro station ridership is of great importance to...
04/02/2019 ∙ by Yuxin He, et al. ∙ 0 ∙ share

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Deep High-Resolution Representation Learning for Visual Recognition

High-resolution representations are essential for position-sensitive vis...
08/20/2019 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System

Internet-of-Things (IoT) companies strive to get feedback from users to ...
06/26/2019 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving

Convolutional neural networks (CNNs) have been increasingly deployed to ...
10/29/2019 ∙ by Yue Wang, et al. ∙ 0 ∙ share

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A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation

Segmentation of optic disc (OD) and optic cup (OC) is critical in automa...
11/05/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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Patchy Image Structure Classification Using Multi-Orientation Region Transform

Exterior contour and interior structure are both vital features for clas...
12/02/2019 ∙ by Xiaohan Yu, et al. ∙ 0 ∙ share

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Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences

In this paper, we consider a novel task, Spatio-Temporal Video Grounding...
01/19/2020 ∙ by Zhu Zhang, et al. ∙ 0 ∙ share

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AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs

Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a growin...
01/06/2020 ∙ by Pengfei Xu, et al. ∙ 0 ∙ share

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A Survey of Blockchain Applications in Different Domains

Blockchains have received much attention recently since they provide dec...
11/06/2019 ∙ by Wubing Chen, et al. ∙ 0 ∙ share

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Yang Zhao

Featured Co-authors

Chunhua Shen

Jiashi Feng

Dusit Niyato

Larry S. Davis

Yue Wang

Zhangyang Wang

Jun Zhao

Qi Wang

Jingdong Wang

Yao Wang

Changyou Chen

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions

Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning

High-Resolution Representations for Labeling Pixels and Regions

MobileFAN: Transferring Deep Hidden Representation for Face Alignment

Automatic Spatially-aware Fashion Concept Discovery

GUN: Gradual Upsampling Network for single image super-resolution

Local Patch Classification Based Framework for Single Image Super-Resolution

Towards Neural Machine Translation with Partially Aligned Corpora

A Conditional Variational Framework for Dialog Generation

Multispectral Image Intrinsic Decomposition via Low Rank Constraint

Phrase Table as Recommendation Memory for Neural Machine Translation

Variance Reduction in Stochastic Particle-Optimization Sampling

Self-Adversarially Learned Bayesian Sampling

Synchronous Bidirectional Inference for Neural Sequence Generation

An Adapted Geographically Weighted Lasso(Ada-GWL) model for estimating metro ridership

Modeling and Analyzing Spatiotemporal Factors Influencing Metro Station Ridership in Taipei: An Approach based on General Estimating Equation

Deep High-Resolution Representation Learning for Visual Recognition

Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System

E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving

A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation

Patchy Image Structure Classification Using Multi-Orientation Region Transform

Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs

A Survey of Blockchain Applications in Different Domains