H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 50 Citations 11,252 295 World Ranking 2940 National Ranking 79

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to multimedia transmission and content analysis

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Computer network

Jianfei Cai spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Deep learning. His study involves RGB color model, Convolutional neural network, Feature, Object and Image, a branch of Artificial intelligence. His Computer vision research focuses on subjects like Video quality, which are linked to Frame rate, Scalable Video Coding, Adaptation and Wireless network.

Jianfei Cai interconnects Cognitive neuroscience of visual object recognition, Key and Task in the investigation of issues within Pattern recognition. His Machine learning research incorporates themes from Object detection, Bayesian inference, Sparse approximation, Global Positioning System and Big data. His Deep learning research incorporates elements of Artificial neural network and Face.

His most cited work include:

  • Recent advances in convolutional neural networks (1099 citations)
  • Joint source channel rate-distortion analysis for adaptive mode selection and rate control in wireless video coding (340 citations)
  • Auto-Encoding Scene Graphs for Image Captioning (178 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Pattern recognition, Computer network and Segmentation are his primary areas of study. Artificial intelligence connects with themes related to Machine learning in his study. His work carried out in the field of Pattern recognition brings together such families of science as Cognitive neuroscience of visual object recognition and Feature.

His Computer network research includes themes of Wireless, Wireless network, Real-time computing and Communication channel. Jianfei Cai combines subjects such as Frame, Transmission, Constant bitrate, Scalable Video Coding and Bandwidth with his study of Real-time computing. His research integrates issues of Algorithm and Error detection and correction in his study of Communication channel.

He most often published in these fields:

  • Artificial intelligence (57.47%)
  • Computer vision (28.87%)
  • Pattern recognition (26.03%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (57.47%)
  • Pattern recognition (26.03%)
  • Computer vision (28.87%)

In recent papers he was focusing on the following fields of study:

Jianfei Cai mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Image and Closed captioning. His Artificial intelligence study typically links adjacent topics like Machine learning. His Pattern recognition research includes themes of Detector, Object detection and Feature.

His studies in Computer vision integrate themes in fields like Representation, Identity and Graph. His study focuses on the intersection of Image and fields such as Domain with connections in the field of Image translation. The various areas that Jianfei Cai examines in his Closed captioning study include Sentence, Natural language processing, Encoder and Speech recognition.

Between 2018 and 2021, his most popular works were:

  • Auto-Encoding Scene Graphs for Image Captioning (178 citations)
  • 3D Hand Shape and Pose Estimation From a Single RGB Image (117 citations)
  • Pluralistic Image Completion (103 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Computer network

Jianfei Cai mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Deep learning and Closed captioning. In his work, Pose is strongly intertwined with Graph, which is a subfield of Artificial intelligence. The Pattern recognition study combines topics in areas such as Contextual image classification, Cognitive neuroscience of visual object recognition and Minimum bounding box.

His work on Iterative reconstruction and Human motion as part of general Computer vision study is frequently connected to Joint, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Deep learning study integrates concerns from other disciplines, such as Relation, Facial expression, Face and Benchmark. Jianfei Cai has included themes like Sentence and Natural language processing in his Closed captioning study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Recent advances in convolutional neural networks

Jiuxiang Gu;Zhenhua Wang;Jason Kuen;Lianyang Ma.
Pattern Recognition (2018)

1720 Citations

Joint source channel rate-distortion analysis for adaptive mode selection and rate control in wireless video coding

Zhihai He;Jianfei Cai;Chang Wen Chen.
IEEE Transactions on Circuits and Systems for Video Technology (2002)

487 Citations

Admission control in IEEE 802.11e wireless LANs

Deyun Gao;Jianfei Cai;King Ngi Ngan.
IEEE Network (2005)

256 Citations

Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation

Hongyuan Zhu;Fanman Meng;Jianfei Cai;Shijian Lu.
Journal of Visual Communication and Image Representation (2016)

219 Citations

Auto-Encoding Scene Graphs for Image Captioning

Xu Yang;Kaihua Tang;Hanwang Zhang;Jianfei Cai.
computer vision and pattern recognition (2019)

179 Citations

Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models

Jiuxiang Gu;Jianfei Cai;Shafiq Joty;Li Niu.
computer vision and pattern recognition (2018)

176 Citations

User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs

Wenxian Yang;Jianfei Cai;Jianmin Zheng;Jiebo Luo.
IEEE Transactions on Image Processing (2010)

164 Citations

Recent Advances in Convolutional Neural Networks

Jiuxiang Gu;Zhenhua Wang;Jason Kuen;Lianyang Ma.
arXiv: Computer Vision and Pattern Recognition (2015)

157 Citations

Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition

Anran Wang;Jiwen Lu;Jianfei Cai;Tat-Jen Cham.
IEEE Transactions on Multimedia (2015)

148 Citations

HMM-Based audio keyword generation

Min Xu;Ling-Yu Duan;Jianfei Cai;Liang-Tien Chia.
advances in multimedia (2004)

147 Citations

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Best Scientists Citing Jianfei Cai

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 38

Guangtao Zhai

Guangtao Zhai

Shanghai Jiao Tong University

Publications: 25

Hanwang Zhang

Hanwang Zhang

Nanyang Technological University

Publications: 23

Yonggang Wen

Yonggang Wen

Nanyang Technological University

Publications: 20

Xiaokang Yang

Xiaokang Yang

Shanghai Jiao Tong University

Publications: 20

Aggelos K. Katsaggelos

Aggelos K. Katsaggelos

Northwestern University

Publications: 20

King Ngi Ngan

King Ngi Ngan

University of Electronic Science and Technology of China

Publications: 19

Shijian Lu

Shijian Lu

Nanyang Technological University

Publications: 18

Jiebo Luo

Jiebo Luo

University of Rochester

Publications: 18

F. Richard Yu

F. Richard Yu

Carleton University

Publications: 18

Wen Gao

Wen Gao

Peking University

Publications: 18

Weisi Lin

Weisi Lin

Nanyang Technological University

Publications: 17

Junsong Yuan

Junsong Yuan

University at Buffalo, State University of New York

Publications: 17

Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

Publications: 17

Muriel Medard

Muriel Medard

MIT

Publications: 16

Debin Zhao

Debin Zhao

Harbin Institute of Technology

Publications: 16

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