Yao Hu

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Horizontal-to-Vertical Video Conversion

Alongside the prevalence of mobile videos, the general public leans towa...
01/11/2021 ∙ by Tun Zhu, et al. ∙ 12 ∙ share

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Multi-shot Temporal Event Localization: a Benchmark

Current developments in temporal event or action localization usually ta...
12/17/2020 ∙ by Xiaolong Liu, et al. ∙ 1 ∙ share

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Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework

Since the label collecting is prohibitive and time-consuming, unsupervis...
12/15/2020 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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LAMP: Label Augmented Multimodal Pretraining

Multi-modal representation learning by pretraining has become an increas...
12/08/2020 ∙ by Jia Guo, et al. ∙ 0 ∙ share

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SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods

In this paper, we present a seed-region-growing CNN(SRG-Net) for unsuper...
12/01/2020 ∙ by Yao Hu, et al. ∙ 0 ∙ share

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Spherical Knowledge Distillation

Knowledge distillation aims at obtaining a small but effective deep mode...
10/15/2020 ∙ by Jia Guo, et al. ∙ 6 ∙ share

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Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge

Multi-label zero-shot classification aims to predict multiple unseen cla...
07/30/2020 ∙ by He Huang, et al. ∙ 28 ∙ share

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Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution

Click-through rate (CTR) prediction is an essential task in industrial a...
01/08/2020 ∙ by Shu-Ting Shi, et al. ∙ 0 ∙ share

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CSID: Center, Scale, Identity and Density-aware Pedestrian Detection in a Crowd

Pedestrian detection in a crowd is very challenging due to vastly differ...
10/21/2019 ∙ by Jialiang Zhang, et al. ∙ 0 ∙ share

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Correlation Maximized Structural Similarity Loss for Semantic Segmentation

Most semantic segmentation models treat semantic segmentation as a pixel...
10/19/2019 ∙ by Shuai Zhao, et al. ∙ 0 ∙ share

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Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

An increasing number of well-trained deep networks have been released on...
06/24/2019 ∙ by Sihui Luo, et al. ∙ 0 ∙ share

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Multi-Objective Generalized Linear Bandits

In this paper, we study the multi-objective bandits (MOB) problem, where...
05/30/2019 ∙ by Shiyin Lu, et al. ∙ 0 ∙ share

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Yao Hu

Featured Co-authors

Wei Xu

Philip H. S. Torr

Ming Li

Deng Cai

Xiang Bai

Wei Zhou

Han Zhang

Lijun Zhang

Steven C. H. Hoi

Guanghui Wang

Xinchao Wang

Horizontal-to-Vertical Video Conversion

Multi-shot Temporal Event Localization: a Benchmark

Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework

LAMP: Label Augmented Multimodal Pretraining

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods

Spherical Knowledge Distillation

Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge

Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution

CSID: Center, Scale, Identity and Density-aware Pedestrian Detection in a Crowd

Correlation Maximized Structural Similarity Loss for Semantic Segmentation

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

Multi-Objective Generalized Linear Bandits