Yi Ping Yang

84.6k citations
788 papers · 57.5k · 45 hit papers · h-index 118

Impact in

    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Multimodal Machine Learning Applications
    • Face recognition and analysis
    • Domain Adaptation and Few-Shot Learning

Papers in

    • Human Pose and Action Recognition 169
    • Advanced Image and Video Retrieval Techniques 163
    • Multimodal Machine Learning Applications 161
    • Video Surveillance and Tracking Methods 112
    • Advanced Neural Network Applications 105
    • Video Analysis and Summarization 96
    • Domain Adaptation and Few-Shot Learning 120
    • Anomaly Detection Techniques and Applications 58

Yi Ping Yang

761 papers receiving 56.5k citations

Yi Ping Yang's Hit Papers

A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges 2024 · 127 citations
1270+2+4Years since publication50010001.5k2.0k

Peers

Yi Ping Yang
Comparison fields: 5 of 222
  • Computer Vision and Pattern Recognition 43.4k
  • Artificial Intelligence 18.4k
  • Media Technology 3.7k
  • Computational Mathematics 235
  • Human-Computer Interaction 1.3k
Replace Yangqing Jia with:
Yangqing Jia United States
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Wei Liu China
Yi Ping Yang relative to Yangqing Jia United States Yangqing Jia's profile →
Citations per field
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Yangqing Jia · 1×
Citations per year

Countries citing papers authored by Yi Ping Yang

Since Specialization
Citations

This map shows the geographic impact of Yi Ping Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yi Ping Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Ping Yang more than expected).

Fields of papers citing papers by Yi Ping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi Ping Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yi Ping Yang. The network helps show where Yi Ping Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi Ping Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi Ping Yang Line = papers co-authored together Yi Ping Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 788 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Random Erasing Data Augmentation
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20202017
2
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
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20181906
3
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro
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20171571
4
Attention to Scale: Scale-Aware Semantic Image Segmentation
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20161118
5
Infrared Patch-Image Model for Small Target Detection in a Single Image
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20131014
6
CNN-RNN: A Unified Framework for Multi-label Image Classification
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2016936
7
Articulated pose estimation with flexible mixtures-of-parts
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2011829
8
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
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2019826
9
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
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2018812
10
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
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2018703
11
Contrastive Adaptation Network for Unsupervised Domain Adaptation
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2019702
12
A Discriminatively Learned CNN Embedding for Person Reidentification
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2017697
13
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
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2019648
14
Joint Discriminative and Generative Learning for Person Re-Identification
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2019648
15
Articulated Human Detection with Flexible Mixtures of Parts
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2012641
16
Person Re-identification in the Wild
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2017640
17
Improving person re-identification by attribute and identity learning
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2019600
18
SIFT Meets CNN: A Decade Survey of Instance Retrieval
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2017573
19
WikiQA: A Challenge Dataset for Open-Domain Question Answering
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2015546
20
Unsupervised Person Re-identification
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2018529

About Yi Ping Yang

Yi Ping Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Human-Computer Interaction, having authored 788 papers that have together received 57.5k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (169 papers), Advanced Image and Video Retrieval Techniques (163 papers), Multimodal Machine Learning Applications (161 papers), Domain Adaptation and Few-Shot Learning (120 papers), Video Surveillance and Tracking Methods (112 papers), Advanced Neural Network Applications (105 papers), Video Analysis and Summarization (96 papers) and Anomaly Detection Techniques and Applications (58 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (43.4k citations), Artificial Intelligence (18.4k citations), Media Technology (3.7k citations), Computational Mathematics (235 citations) and Human-Computer Interaction (1.3k citations). Yi Ping Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liang Zheng, Zhedong Zheng, Linchao Zhu, Guoliang Kang, Xuanyi Dong, Feiping Nie, Alexander G. Hauptmann, Deva Ramanan, Xiaojun Chang and Zhun Zhong. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Neural Networks and Learning Systems and ACM Transactions on Multimedia Computing Communications and Applications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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