World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
15181
World Ranking
4485
National Ranking
600

Overview

Kui Jia is affiliated with South China University of Technology in China and specializes in research within the fields of Computer Science and Engineering. Their work revolves primarily around areas such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Computer Graphics and Computer-Aided Design, and Control and Systems Engineering.

The scientist's research topics include:

  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Computer Graphics and Visualization Techniques
  • 3D Surveying and Cultural Heritage
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications

Kui Jia has an extensive publication record with a focus on a variety of venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition

Their recent scholarly works demonstrate engagement with significant themes in computer vision and domain adaptation. Selected recent papers include:

  • Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Discriminative Adversarial Domain Adaptation (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Kui Jia frequently collaborates with a consistent group of coauthors. Notable frequent coauthors include:

  • Jiehong Lin
  • Ke Chen
  • Yongyi Su
  • Hui Tang
  • Yaowei Wang

Best Publications

  • DehazeNet: An End-to-End System for Single Image Haze Removal

    Bolun Cai;Xiangmin Xu;Kui Jia;Chunmei Qing

  • PCANet: A Simple Deep Learning Baseline for Image Classification?

    Tsung-Han Chan;Kui Jia;Shenghua Gao;Jiwen Lu

  • Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks

    Lin Sun;Kui Jia;Dit-Yan Yeung;Bertram E. Shi

  • Multi-Task CNN Model for Attribute Prediction

    Abrar H. Abdulnabi;Gang Wang;Jiwen Lu;Kui Jia

  • A Study on Gait-Based Gender Classification

    Shiqi Yu;Tieniu Tan;Kaiqi Huang;Kui Jia

  • Domain-Symmetric Networks for Adversarial Domain Adaptation

    Yabin Zhang;Hui Tang;Kui Jia;Mingkui Tan

  • Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering

    Hui Tang;Ke Chen;Kui Jia

  • A Joint Intrinsic-Extrinsic Prior Model for Retinex

    Bolun Cai;Xianming Xu;Kailing Guo;Kui Jia

  • Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

    Unknown

  • Single Sample Face Recognition via Learning Deep Supervised Autoencoders

    S. Gao;Y. Zhang;K. Jia;J. Lu

  • Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

    Zhixin Wang;Kui Jia

  • Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points With Clusters

    Yuting Zhang;Gang Pan;Kui Jia;Minlong Lu

  • Lattice Long Short-Term Memory for Human Action Recognition

    Lin Sun;Kui Jia;Kevin Chen;Dit Yan Yeung

  • Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks

    Junyi Pan;Xiaoguang Han;Weikai Chen;Jiapeng Tang

  • Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots

    Qi Chen;Lin Sun;Zhixin Wang;Kui Jia

  • Discriminative Adversarial Domain Adaptation

    Hui Tang;Kui Jia

  • Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation

    Zhuangwei Zhuang;Rong Li;Yuanqing Li;Kui Jia

  • Learning by Associating Ambiguously Labeled Images

    Zinan Zeng;Shijie Xiao;Kui Jia;Tsung-Han Chan

  • DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition

    Lin Sun;Kui Jia;Tsung-Han Chan;Yuqiang Fang

  • Generalized Face Super-Resolution

    Kui Jia;Shaogang Gong

  • Image Transformation Based on Learning Dictionaries across Image Spaces

    Kui Jia;Xiaogang Wang;Xiaoou Tang

  • Robust and practical face recognition via structured sparsity

    Kui Jia;Tsung-Han Chan;Yi Ma

Frequent Co-Authors

Xiaoguang Han
Xiaoguang Han Chinese University of Hong Kong
Mingkui Tan
Mingkui Tan South China University of Technology
Dacheng Tao
Dacheng Tao Nanyang Technological University
Yi Ma
Yi Ma University of Hong Kong
Jiangbo Lu
Jiangbo Lu SmartMore Corporation
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Shenghua Gao
Shenghua Gao ShanghaiTech University
Shaogang Gong
Shaogang Gong Queen Mary University of London
Jiwen Lu
Jiwen Lu Tsinghua University
Dit-Yan Yeung
Dit-Yan Yeung Hong Kong University of Science and Technology

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