World's Best Scientists 2026 revealed!
Hongbin Zha

Hongbin Zha

D-Index & Metrics

Computer Science

D-Index
56
Citations
10582
World Ranking
4132
National Ranking
553

Overview

Hongbin Zha is affiliated with Peking University in China and has contributed extensively in the fields of Computer Science and Engineering. Their research spans multiple subfields, including Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Biomedical Engineering, and Artificial Intelligence.

The scientist's work covers a broad range of topics, such as:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • Medical Image Segmentation Techniques
  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis
  • Medical Imaging and Analysis

Among recent publications are the following papers:

  • "Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Line Flow Based Simultaneous Localization and Mapping" (2021) published in IEEE Transactions on Robotics
  • "Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations" (2021) published at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Pyramid ALKNet for Semantic Parsing of Building Facade Image" (2020) published in IEEE Geoscience and Remote Sensing Letters
  • "Face Restoration via Plug-and-Play 3D Facial Priors" (2021) published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Zha has collaborated frequently with several co-authors including Yuru Pei, Zike Yan, Xilin Chen, Tianmin Xu, and Hanzi Wang.

Frequent publication venues for the scientist include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Medical Imaging
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Geoscience and Remote Sensing Letters

In addition to journal and conference papers, Hongbin Zha has published numerous books with Springer Science+Business Media, including multiple editions of Pattern Recognition and Computer Vision, spanning from 2020 to 2023.

Best Publications

  • Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

    Xia Li;Jianlong Wu;Zhouchen Lin;Hong Liu

  • Riemannian Manifold Learning

    Tong Lin;Hongbin Zha

  • Essential Tensor Learning for Multi-View Spectral Clustering

    Jianlong Wu;Zhouchen Lin;Hongbin Zha

  • A real-time motion planner with trajectory optimization for autonomous vehicles

    Wenda Xu;Junqing Wei;John M. Dolan;Huijing Zhao

  • Deep Comprehensive Correlation Mining for Image Clustering

    Jianlong Wu;Keyu Long;Fei Wang;Chen Qian

  • Coarse-to-fine vision-based localization by indexing scale-Invariant features

    Junqiu Wang;Hongbin Zha;R. Cipolla

  • Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches

    Jinshi Cui;Ye Liu;Yuandong Xu;Huijing Zhao

  • Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval

    Yi Liu;Hongbin Zha;Hong Qin

  • Structure-Sensitive Superpixels via Geodesic Distance

    Peng Wang;Gang Zeng;Rui Gan;Jingdong Wang

  • Computer Vision – ACCV 2007

    Yasushi Yagi;Sing Bing Kang;In So Kweon;Hongbin Zha

  • Computer Vision -- ACCV 2009

    Hongbin Zha;Rin-ichiro Taniguchi;Stephen Maybank

  • Unsupervised Random Forest Manifold Alignment for Lipreading

    Yuru Pei;Tae-Kyun Kim;Hongbin Zha

  • Riemannian manifold learning for nonlinear dimensionality reduction

    Tony Lin;Hongbin Zha;Sang Uk Lee

  • Alternating Multi-bit Quantization for Recurrent Neural Networks

    Chen Xu;Jianqiang Yao;Zhouchen Lin;Wenwu Ou

  • Salient object detection for searched web images via global saliency

    Peng Wang;Jingdong Wang;Gang Zeng;Jie Feng

  • Laser-based detection and tracking of multiple people in crowds

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • Learning to Detect Anomalies in Surveillance Video

    Tan Xiao;Chao Zhang;Hongbin Zha

  • SLAM in a dynamic large outdoor environment using a laser scanner

    Huijing Zhao;M. Chiba;R. Shibasaki;Xiaowei Shao

  • Sorted Random Projections for robust texture classification

    Li Liu;Paul Fieguth;Gangyao Kuang;Hongbin Zha

  • Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry

    Fei Xue;Xin Wang;Shunkai Li;Qiuyuan Wang

  • Structure-sensitive superpixels via geodesic distance

    Gang Zeng;Peng Wang;Jingdong Wang;Rui Gan

  • Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches.

    Yuandong Xu;Jinshi Cui;Huijing Zhao;Hongbin Zha

Frequent Co-Authors

Huijing Zhao
Huijing Zhao Peking University
Zhouchen Lin
Zhouchen Lin Peking University
Gang Zeng
Gang Zeng Peking University
Ryosuke Shibasaki
Ryosuke Shibasaki University of Tokyo
Xuan Song
Xuan Song University of Tokyo
Stephen J. Maybank
Stephen J. Maybank Birkbeck, University of London
Jingdong Wang
Jingdong Wang Baidu (China)
Hong Qin
Hong Qin Stony Brook University
Yasushi Yagi
Yasushi Yagi Osaka University
Roberto Cipolla
Roberto Cipolla University of Cambridge

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