FANGZHENG TIAN
profile photo

Fangzheng Tian

Fangzheng Tian is a PhD of Department of Computer Science & Artificial Intelligence at Jeonbuk National University. His research interests include machine learning, computer vision, digital human, SLAM, depth estimation, 3D reconstruction and medical image processing.

Email: tian_fangzheng@jbnu.ac.kr  /  Github  /  CSDN  / 

Educational Background

Publications

  1. Jia Gu, Fangzheng Tian (Equal contribution), and Il-Seok Oh. "RAMIS: Increasing Robustness and Accuracy in Medical Image Segmentation with Hybrid CNN-Transformer Synergy." Neurocomputing, 2024 (SCI; IF:5.5; 二区Top; CCF推荐) | paper | code | project page

  2. Fangzheng Tian, and Sungchan Kim. "LEAPSE: Learning Environment Affordances for 3D Human Pose and Shape Estimation." IEEE Transactions on Image Processing (TIP), 2024 (SCI; IF:10.6; 一区Top; CCF-A类期刊) | paper

  3. Fangzheng Tian, and Sungchan Kim. "Globally-Robust Instance Identification and Locally-Accurate Keypoint Alignment for Multi-Person Pose Estimation." Proceedings of the 31st ACM International Conference on Multimedia. (ACM MM), 2023 (CCF-A类会议) | paper | code | project page | video | poster

  4. Jia Gu, Fangzheng Tian, and Il-Seok Oh. "Retinal vessel segmentation based on self-distillation and implicit neural representation." Applied Intelligence (APIN), 2022 (SCI; IF:5.3; 二区; CCF推荐) | paper | demo

  5. Yongbin Gao (advisor), Fangzheng Tian, Jun Li, Zhijun Fang, Saba Al-Rubaye, Wei Song, and Yier Yan. "Joint Optimization of Depth and Ego-Motion for Intelligent Autonomous Vehicles." IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022 (SCI; IF:8.5; 一区Top; CCF-B类期刊) | paper

  6. Fangzheng Tian, Yongbin Gao, Zhijun Fang, Yuming Fang, Jia Gu, Hamido Fujita, and Jenq-Neng Hwang. "Depth Estimation Using A Self-Supervised Network based on Cross-layer Feature Fusion and the Quadtree Constraint." IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021 (SCI; IF:8.4; 一区Top; CCF-B类期刊) | paper | demo

  7. Fangzheng Tian, Yongbin Gao, Zhijun Fang, Jia Gu, and Shuqun Yang. "3D reconstruction with auto-selected keyframes based on depth completion correction and pose fusion." Journal of Visual Communication and Image Representation (JVCIR), 2021 (SCI; IF:2.6; CCF推荐) | paper | demo

  8. Fangzheng Tian, Yongbin Gao, Zhijun Fang, and Jia Gu. "Automatic coronary artery segmentation algorithm based on deep learning and digital image processing." Applied Intelligence (APIN), 2021 (SCI; IF:5.3; 二区; CCF推荐) | paper | demo

  9. JiaGu, ZhijunFang, YongbinGao, and FangzhengTian. "Segmentation of coronary arteries images using global feature embedded network with active contour loss." Computerized Medical Imaging and Graphics (CMIG), 2020 (SCI; IF:5.7; 二区) | paper

  10. Ma Shuo, Gao Yongbin, Tian Fangzheng, Huang Bo, Gu Jia, and Zhou Yilong. "Keypoints and Descriptors Based on Cross-Modality Information Fusion for Camera Localization." Wuhan University Journal of Natural Sciences (CSCD) 2021

  11. 田方正, 高永彬, 方志军, 顾佳. "基于深度估计与自我运动联合优化的三维重建 3D reconstruction based on joint optimization of depth estimation and ego-motion." 传感器与微系统 (CSCD) 2021

  12. Gu Jia, Fang Zhijun, and Tian Fangzheng. "全局特征及多层次特征聚合的冠脉分割算法 Global Feature and Multi-level Feature Aggregation Segmentation Algorithm for Coronary CTA." 计算机科学与探索 Journal of Frontiers of Computer Science and Technology (CSCD) 2020 | paper

  13. 马硕, 高永彬, 田方正, 卢俊鑫, 顾佳, 周意龙. "金字塔卷积和改进铰链损失的特征点检测方法 Feature Point Detection Method using Pyramid Convolution and Improved Hinge Loss." 导航定位学报 (CSCD) 2020 | paper

Patents

  1. First inventor. Three-dimensional reconstruction shooting platform, Patent number: CN202021308439.8 utility model patent. 2021.

  2. Third inventor. Coronary heart disease diagnosis device based on deep learning and non-invasive FFR measurement, Patent number: CN201921188560.9. utility model patent. 2020.

  3. Fourth inventor. Human-computer interaction intelligent robot dog, Patent number: CN201921213591.5. utility model patent. 2020.

  4. Fourth inventor. An ultrasound segmentation method for abdominal images, Patent number: CN201910989954.2. invention patent. 2020.

  5. Third inventor. A garbage truck, Patent number: CN202022775570.1. utility model patent. 2021.

  6. Fourth inventor. An indoor positioning and navigation system for unmanned aerial vehicles, Patent number: CN202011363891.9. invention patent. 2021.

  7. Fifth inventor. A system and method for behavior recognition based on skeleton data, Patent number: CN201910620715.X. invention patent. 2019.

Research Experiences

Foundation Items

  1. National Research Foundation of Korea (NRF): Development of an AI technique for creating hyper-realistic 3D digital humans that interact with a 3D virtual space environment from sentence descriptions, 2022R1A2C1011013, Mar. 2022 - Feb. 2026

  2. Institute of Information & Communications Technology Planning & Evaluation (IITP), 2021-0-02068, Jul. 2021 - Dec. 2025

  3. National Natural Science Foundation of China: Object-level visual SLAM dynamic 3D scene analysis and reconstruction, 61772328, 2018.01-2021.12

  4. National Natural Science Foundation of China: Research on 3D object detection and semantic reconstruction based on monocular multi-view depth map estimation, 61802253, 2019.01-2021.12

  5. National Natural Science Foundation of China: Basic Theory and Method of Mobile Internet Video Transmission for Self-Learning, 61831018, 2019.01-2023.12

  6. Key project of Shanghai Municipal Commission of Science and Technology: Application of CT image-based data mining for gastric cancer staging and initial construction of an intelligent auxiliary system for diagnosis and treatment decision-making, 18411952800, 2018.6.30-2021.6.30

  7. Science and Technology Innovation 2030 - "New Generation Artificial Intelligence" Major Project: Technology and Application of Automatic Knowledge Construction and Reasoning Decision-making in Industrial Field, 2020AAA0109300, 2020.11-2023.10

  8. Scientific and Technological Innovation 2030—Sub-project of "New Generation Artificial Intelligence" Major Project: Automatic Extraction and Construction of Knowledge Graph for Common Sense and Professional Knowledge, 2020AAA0109302, 2020.11-2023.10

  9. "Minguang Talent Program" of Shanghai Municipal Education Commission: Research on 3D Object Detection and Recognition in Monocular Camera, 17CG59, 2018.01-2021.12

  10. COMAC Shanghai Aircraft Manufacturing Co., Ltd.: "Design and R&D of Intelligent Detection System for Aircraft Surface Paint Status Based on UAV", 2018.10.10-2019.12.1

  11. In addition, participated in the Shanghai Science and Technology Commission Social Development Plan Science and Technology Innovation Action Plan Project (21DZ1204900), Guangzhou Science and Technology Project (202102010416), Guangzhou University-Hong Kong University of Science and Technology Joint Research Plan (YH202110), Guangzhou Software-defined Low Latency Key Network Laboratory (202102100006).

Awards and Honors