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Computer Science

D-Index
47
Citations
8625
World Ranking
6512
National Ranking
871

Overview

Hongbo Fu is a researcher affiliated with the City University of Hong Kong in China. Their work spans multiple aspects of computer science and engineering, with a focus on computer vision, graphics, and pattern recognition. The breadth of their research covers several key subfields, including computer vision and pattern recognition, computational mechanics, computer graphics and computer-aided design, control and systems engineering, and geology.

The scientist's main areas of study involve 3D shape modeling and analysis, advanced vision and imaging, generative adversarial networks and image synthesis, computer graphics and visualization techniques, face recognition and analysis, human pose and action recognition, and human motion and animation.

Hongbo Fu has contributed extensively to the academic literature, publishing numerous papers in well-regarded venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • ACM Transactions on Graphics
  • Computer Graphics Forum
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Some recent publications highlight a range of topics within their expertise:

  • DeepFaceDrawing, 2020, ACM Transactions on Graphics
  • SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks, 2021, ACM Transactions on Graphics
  • Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks, 2022, ACM Transactions on Graphics
  • Supervoxel Convolution for Online 3D Semantic Segmentation, 2021, ACM Transactions on Graphics

Hongbo Fu often collaborates with several frequent co-authors, including Lin Gao, Shuyu Chen, Youyi Zheng, Yu-Kun Lai, and Chiew-Lan Tai.

Best Publications

  • TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

    Unknown

  • D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

    Xuyang Bai;Zixin Luo;Lei Zhou;Hongbo Fu

  • PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency

    Xuyang Bai;Zixin Luo;Lei Zhou;Hongkai Chen

  • Bilateral Normal Filtering for Mesh Denoising

    Youyi Zheng;Hongbo Fu;Oscar Kin-Chung Au;Chiew-Lan Tai

  • SDM-NET: deep generative network for structured deformable mesh

    Lin Gao;Jie Yang;Tong Wu;Yu-Jie Yuan

  • Parametric reshaping of human bodies in images

    Shizhe Zhou;Hongbo Fu;Ligang Liu;Daniel Cohen-Or

  • Sketch2Scene: sketch-based co-retrieval and co-placement of 3D models

    Kun Xu;Kang Chen;Hongbo Fu;Wei-Lun Sun

  • Upright orientation of man-made objects

    Hongbo Fu;Daniel Cohen-Or;Gideon Dror;Alla Sheffer

  • Structure recovery by part assembly

    Chao-Hui Shen;Hongbo Fu;Kang Chen;Shi-Min Hu

  • A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries

    Bo Li;Yijuan Lu;Chunyuan Li;Afzal Godil

  • Motion-aware temporal coherence for video resizing

    Yu-Shuen Wang;Hongbo Fu;Olga Sorkine;Tong-Yee Lee

  • Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition.

    Yu-Hui Wen;Lin Gao;Hongbo Fu;Fang-Lue Zhang

  • DeepFaceDrawing: deep generation of face images from sketches

    Shu-Yu Chen;Wanchao Su;Lin Gao;Shihong Xia

  • Dual Laplacian editing for meshes

    O.K.-C. Au;C.L. Tai;L. Liu;H. Fu

  • End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds

    Lei Li;Siyu Zhu;Hongbo Fu;Ping Tan

  • Adaptive partitioning of urban facades

    Chao-Hui Shen;Shi-Sheng Huang;Hongbo Fu;Shi-Min Hu

  • Adaptive synthesis of indoor scenes via activity-associated object relation graphs

    Qiang Fu;Xiaowu Chen;Xiaotian Wang;Sijia Wen

  • Component‐wise Controllers for Structure‐Preserving Shape Manipulation

    Youyi Zheng;Hongbo Fu;Daniel Cohen-Or;Oscar Kin-Chung Au

  • Electors Voting for Fast Automatic Shape Correspondence

    Oscar Kin-Chung Au;Chiew-Lan Tai;Daniel Cohen-Or;Youyi Zheng

  • JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

    Zeyu Hu;Mingmin Zhen;Xuyang Bai;Hongbo Fu

  • A Hybrid Conditional Random Field for Estimating the Underlying Ground Surface From Airborne LiDAR Data

    Wei-Lwun Lu;K.P. Murphy;J.J. Little;A. Sheffer

Frequent Co-Authors

Chiew-Lan Tai
Chiew-Lan Tai Hong Kong University of Science and Technology
Lin Gao
Lin Gao Xidian University
Yu-Kun Lai
Yu-Kun Lai Cardiff University
Xiaoguang Han
Xiaoguang Han Chinese University of Hong Kong
Shi-Min Hu
Shi-Min Hu Tsinghua University
Kun Zhou
Kun Zhou Zhejiang University
Ligang Liu
Ligang Liu University of Science and Technology of China
Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Alla Sheffer
Alla Sheffer University of British Columbia

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