World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
13499
World Ranking
5514
National Ranking
2517

Overview

Jianlong Fu is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, with a focus on computer vision and pattern recognition. Their body of work includes 229 publications, predominantly in computer science, with significant involvement in subfields such as computer vision and pattern recognition, artificial intelligence, media technology, control and systems engineering, and electrical and electronic engineering.

Their research encompasses a variety of specialized topics, notably:

  • Multimodal Machine Learning Applications
  • Advanced Image Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications

Jianlong Fu has frequently published in several prominent venues, including:

  • arXiv (Cornell University), with 60 publications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 5 publications
  • IEEE Transactions on Image Processing, 4 publications
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, 4 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3 publications

Some of the notable recent papers authored by Jianlong Fu include:

  • Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Rethinking and Improving Relative Position Encoding for Vision Transformer, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers, 2020, arXiv (Cornell University)
  • AutoFormer: Searching Transformers for Visual Recognition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Revisiting Anchor Mechanisms for Temporal Action Localization, 2020, IEEE Transactions on Image Processing

Their frequent collaborators include Houwen Peng with 24 joint works, Bei Liu with 16, Huan Yang with 13, and Hongyang Chao with 10 coauthored publications.

Best Publications

  • Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition

    Jianlong Fu;Heliang Zheng;Tao Mei

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

    Heliang Zheng;Jianlong Fu;Tao Mei;Jiebo Luo

  • Learning Texture Transformer Network for Image Super-Resolution

    Fuzhi Yang;Huan Yang;Jianlong Fu;Hongtao Lu

  • Ocean: Object-aware Anchor-free Tracking

    Zhipeng Zhang;Houwen Peng;Jianlong Fu;Bing Li

  • 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

  • Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

    Yanhong Zeng;Jianlong Fu;Hongyang Chao;Baining Guo

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Rethinking and Improving Relative Position Encoding for Vision Transformer.

    Kan Wu;Houwen Peng;Minghao Chen;Jianlong Fu

  • Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers

    Zhicheng Huang;Zhaoyang Zeng;Bei Liu;Dongmei Fu

  • AutoFormer: Searching Transformers for Visual Recognition

    Minghao Chen;Houwen Peng;Jianlong Fu;Haibin Ling

  • Learning Joint Spatial-Temporal Transformations for Video Inpainting.

    Yanhong Zeng;Jianlong Fu;Hongyang Chao

  • Multi-level Attention Networks for Visual Question Answering

    Dongfei Yu;Jianlong Fu;Tao Mei;Yong Rui

  • TinyViT: Fast Pretraining Distillation for Small Vision Transformers

    Unknown

  • Expanding Language-Image Pretrained Models for General Video Recognition

    Unknown

  • The Eighth Visual Object Tracking VOT2020 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning

    Zhicheng Huang;Zhaoyang Zeng;Yupan Huang;Bei Liu

  • LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search

    Bin Yan;Houwen Peng;Kan Wu;Dong Wang

  • Revisiting Anchor Mechanisms for Temporal Action Localization

    Le Yang;Houwen Peng;Dingwen Zhang;Jianlong Fu

  • Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner

    Tseng-Hung Chen;Yuan-Hong Liao;Ching-Yao Chuang;Wan-Ting Hsu

  • Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions

    Unknown

  • DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks

    Shuang Ma;Jianlong Fu;Chang Wen Chen;Tao Mei

  • DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)

    Shuang Ma;Jianlong Fu;Chang Wen Chen;Tao Mei

  • 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

Tao Mei
Tao Mei Jingdong (China)
Jiebo Luo
Jiebo Luo University of Rochester
Jinqiao Wang
Jinqiao Wang Chinese Academy of Sciences
Hanqing Lu
Hanqing Lu Chinese Academy of Sciences
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Haibin Ling
Haibin Ling Westlake University
Houqiang Li
Houqiang Li University of Science and Technology of China
Min Sun
Min Sun National Tsing Hua University
Baining Guo
Baining Guo Microsoft (United States)
Yong Rui
Yong Rui Lenovo (China)

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