Search Results for author: Yao Hu

Found 19 papers, 12 papers with code

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net)

1 code implementation28 Jul 2021 Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao

Then we present a supervised segmentation and unsupervised reconstruction networks to learn the characteristics of 3D point clouds.

Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph

no code implementations26 Jul 2021 Wentian Zhao, Yao Hu, HeDa Wang, Xinxiao wu, Jiebo Luo

Entity-aware image captioning aims to describe named entities and events related to the image by utilizing the background knowledge in the associated article.

Graph Attention Image Captioning

End-to-end Temporal Action Detection with Transformer

1 code implementation18 Jun 2021 Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Song Bai, Xiang Bai

Temporal action detection (TAD) aims to determine the semantic label and the boundaries of every action instance in an untrimmed video.

Action Detection Video Understanding

Salient Object Ranking with Position-Preserved Attention

1 code implementation9 Jun 2021 Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He

In this paper, we study the Salient Object Ranking (SOR) task, which manages to assign a ranking order of each detected object according to its visual saliency.

Image Cropping Instance Segmentation +4

Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction

no code implementations5 Jun 2021 Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin

While several cross domain sequential recommendation models have been proposed to leverage information from a source domain to improve CTR predictions in a target domain, they did not take into account bidirectional latent relations of user preferences across source-target domain pairs.

Click-Through Rate Prediction Recommendation Systems

PURS: Personalized Unexpected Recommender System for Improving User Satisfaction

1 code implementation5 Jun 2021 Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin

Classical recommender system methods typically face the filter bubble problem when users only receive recommendations of their familiar items, making them bored and dissatisfied.

Recommendation Systems

SwiftNet: Real-time Video Object Segmentation

1 code implementation CVPR 2021 Haochen Wang, XiaoLong Jiang, Haibing Ren, Yao Hu, Song Bai

In this work we present SwiftNet for real-time semisupervised video object segmentation (one-shot VOS), which reports 77. 8% J &F and 70 FPS on DAVIS 2017 validation dataset, leading all present solutions in overall accuracy and speed performance.

Semantic Segmentation Semi-Supervised Video Object Segmentation +1

Horizontal-to-Vertical Video Conversion

1 code implementation11 Jan 2021 Tun Zhu, Daoxin Zhang, Yao Hu, Tianran Wang, XiaoLong Jiang, Jianke Zhu, Jiawei Li

Alongside the prevalence of mobile videos, the general public leans towards consuming vertical videos on hand-held devices.

Boundary Detection Multi-Object Tracking

Multi-shot Temporal Event Localization: a Benchmark

1 code implementation CVPR 2021 Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr

Current developments in temporal event or action localization usually target actions captured by a single camera.

Ranked #2 on Temporal Action Localization on THUMOS’14 (using extra training data)

Temporal Action Localization

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

1 code implementation15 Dec 2020 Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu

Meanwhile, such applications usually require modeling the intrinsic clusters in high-dimensional data, which usually displays heterogeneous statistical patterns as the patterns of different clusters may appear in different dimensions.

Anomaly Detection Fraud Detection

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

1 code implementation1 Dec 2020 Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao

Finally, we combine the SRG algorithm with our improved CNN using a refinement method called SRG-Net to conduct the segmentation tasks on the terracotta warriors.

Reducing the Teacher-Student Gap via Spherical Knowledge Disitllation

1 code implementation15 Oct 2020 Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai

We investigate this problem by study the gap of confidence between teacher and student.

Knowledge Distillation

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

no code implementations30 Jul 2020 He Huang, Yuanwei Chen, Wei Tang, Wenhao Zheng, Qing-Guo Chen, Yao Hu, Philip Yu

On the other hand, there is a large semantic gap between seen and unseen classes in the existing multi-label classification datasets.

Classification General Classification +3

Attribute-aware Pedestrian Detection in a Crowd

1 code implementation21 Oct 2019 Jialiang Zhang, Lixiang Lin, Yang Li, Yun-chen Chen, Jianke Zhu, Yao Hu, Steven C. H. Hoi

To tackle this critical problem, we propose an attribute-aware pedestrian detector to explicitly model people's semantic attributes in a high-level feature detection fashion.

Pedestrian Detection

Correlation Maximized Structural Similarity Loss for Semantic Segmentation

no code implementations19 Oct 2019 Shuai Zhao, Boxi Wu, Wenqing Chu, Yao Hu, Deng Cai

Inspired by the widely-used structural similarity (SSIM) index in image quality assessment, we use the linear correlation between two images to quantify their structural similarity.

Image Quality Assessment Semantic Segmentation +1

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

2 code implementations24 Jun 2019 Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song

An increasing number of well-trained deep networks have been released online by researchers and developers, enabling the community to reuse them in a plug-and-play way without accessing the training annotations.

Multi-Objective Generalized Linear Bandits

no code implementations30 May 2019 Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang

In this paper, we study the multi-objective bandits (MOB) problem, where a learner repeatedly selects one arm to play and then receives a reward vector consisting of multiple objectives.

Multi-Armed Bandits

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