World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
113
Citations
53597
World Ranking
201
National Ranking
115

Research.com Recognitions

  • 2018 - ACM Fellow For contributions to multimedia content analysis and social multimedia informatics
  • 2009 - IEEE Fellow For contributions to semantic image understanding and intelligent image processing
  • 2008 - SPIE Fellow

Overview

Jiebo Luo is affiliated with the University of Rochester in the United States and has contributed extensively to the field of computer science, with a specialized focus on computer vision and pattern recognition as well as artificial intelligence. Their research output includes a significant number of publications across various subfields, encompassing areas such as sociology and political science, signal processing, and biomedical engineering.

The scientist's recent papers illustrate the breadth of their research interests and impact. Among these are:

  • Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Anatomy-Aware 3D Human Pose Estimation With Bone-Based Pose Decomposition (2021), published in IEEE Transactions on Circuits and Systems for Video Technology
  • Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study (2021), published in JMIR Infodemiology

The scientist frequently collaborates with several researchers, notably Hanjia Lyu with 76 joint works, Haofu Liao with 26, Haitian Zheng with 24, Zheng-Jun Zha with 17, and Hang Hua with 17 publications.

Jiebo Luo's work is disseminated through prominent scholarly venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing

The main fields and subfields in which Jiebo Luo publishes reflect interdisciplinary expertise:

  • Computer Science
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Sociology and Political Science
  • Signal Processing
  • Biomedical Engineering

The topics Jiebo Luo focuses on include:

  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image and Video Retrieval Techniques
  • Topic Modeling
  • Video Analysis and Summarization

Recognitions awarded to Jiebo Luo include the ACM Fellow designation in 2018 for contributions to multimedia content analysis and social multimedia informatics, the IEEE Fellow title in 2009 for work in semantic image understanding and intelligent image processing, and the SPIE Fellow distinction in 2008.

Best Publications

  • Learning multi-label scene classification

    Matthew R. Boutell;Jiebo Luo;Xipeng Shen;Christopher M. Brown

  • DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

    Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu

  • Image Captioning with Semantic Attention

    Quanzeng You;Hailin Jin;Zhaowen Wang;Chen Fang

  • Recognizing realistic actions from videos “in the wild”

    Jingen Liu;Jiebo Luo;Mubarak Shah

  • Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition

    Heliang Zheng;Jianlong Fu;Tao Mei;Jiebo Luo

  • Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs

    Zhiwei Jin;Juan Cao;Han Guo;Yongdong Zhang

  • Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning

    Wenbin Li;Lei Wang;Jinglin Xu;Jing Huo

  • Visual event recognition in videos by learning from web data

    Lixin Duan;Dong Xu;Ivor Wai-Hung Tsang;Jiebo Luo

  • iCoseg: Interactive co-segmentation with intelligent scribble guidance

    Dhruv Batra;Adarsh Kowdle;Devi Parikh;Jiebo Luo

  • Robust image sentiment analysis using progressively trained and domain transferred deep networks

    Quanzeng You;Jiebo Luo;Hailin Jin;Jianchao Yang

  • Learning from Noisy Labels with Distillation

    Yuncheng Li;Jianchao Yang;Yale Song;Liangliang Cao

  • Aesthetics and Emotions in Images

    D. Joshi;R. Datta;E. Fedorovskaya;Quang-Tuan Luong

  • Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition

    Heliang Zheng;Jianlong Fu;Zheng-Jun Zha;Jiebo Luo

  • Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language.

    Songyang Zhang;Houwen Peng;Jianlong Fu;Jiebo Luo

  • VizWiz Grand Challenge: Answering Visual Questions from Blind People

    Danna Gurari;Qing Li;Abigale J. Stangl;Anhong Guo

  • A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback

    Yi Yang;Feiping Nie;Dong Xu;Jiebo Luo

  • Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification

    Mang Ye;Jianbing Shen;David J. Crandall;Ling Shao

  • Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods

    Guo-Jun Qi;Jiebo Luo

  • Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications

    C.W. Chen;J. Luo;K.J. Parker

  • Visual event recognition in videos by learning from web data

    Unknown

  • News verification by exploiting conflicting social viewpoints in microblogs

    Zhiwei Jin;Juan Cao;Yongdong Zhang;Jiebo Luo

  • METHOD FOR DETECTING SUBJECT OF IMAGE

    Luo Jiebo;Etz Stephen;Singhal Amit

  • Recognizing realistic actions from videos .

    Jingen Liu;Jiebo Luo;Mubarak Shah

  • Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition (ICCV 2017 Oral)

    Heliang Zheng;Jianlong Fu;Tao Mei;Jiebo Luo

Frequent Co-Authors

Chang Wen Chen
Chang Wen Chen Hong Kong Polytechnic University
Tao Mei
Tao Mei Jingdong (China)
Andrew C. Gallagher
Andrew C. Gallagher Google (United States)
Dong Xu
Dong Xu University of Hong Kong
Henry Kautz
Henry Kautz University of Virginia
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Liangliang Cao
Liangliang Cao Google (United States)
Kevin J. Parker
Kevin J. Parker University of Rochester
Wei Liu
Wei Liu Tencent (China)
Hailin Jin
Hailin Jin Adobe Systems (United States)

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