I am currently working as a senior researcher at Fujitsu Research in Japan. I graduated from Nanjing University (China) with a bachelor’s degree and obtained my master’s and doctor’s degrees from Nara Institute of Science and Technology (Japan).
My research interests include
- Multi-camera motion capturing
- Pose estimation
- Action recognition
Please feel free to email me at hongheyangfan@gmail.com.
🔥 News
- 2024.08: 🎉 Our Gymnastic Judging Support System has been successfully applied in 10 apparatuses at the 52nd FIG Artistic Gymnastics World Championships. I was responsible for developing the multi-camera gymnast detection and tracking modules for our system. Parts of the related techniques have been published in my WACV2023, CVM2024, and TCSVT2024papers,
- 2023.10: 🎉 Our paper was selected for the IROS Best Paper Award Finalist on Cognitive Robotics.
📝 Publications
More papers and reports are shown on my Google Scholar.
🎥Multi-camera Registration
TCSVT 2024
YOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Cameras- Video
🎥🤸Multi-camera Gymnast Tracking Module In Fujitsu Gymnastic Judging Support System

- Our Gymnastic Judging Support System has been successfully applied in 10 apparatuses at the 52nd FIG Artistic Gymnastics World Championships. I was responsible for developing the multi-camera gymnast detection and tracking modules for our system. Multiple related patents have been applied (not online yet):
- “Cross-view Bounding Box Interpolation” (2021)
- “Semi-supervised Multi-frame Multi-view Athlete Detection” (2022)
- “Collaborative Muti-frame Multi-view Triangulation” (2022)
- “Hybrid Multi-camera Athlete Tracking” (2022)
🎥🤼 Action Recognition
IROS 2023
Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let’s Improve It With Action-union Learning | (Best Paper Award Finalists on Cognitive Robotics)|Fan Yang, Shigeyuki Odashima, Shoichi Masui, Shan Jiang.-
arXiv 2022
Actor-identified Spatiotemporal Action Detection | Fan Yang, Norimichi Ukita, Sakti Sakriani, Nakamura Satoshi code-
ACM MM ASIA 2021
Make Skeleton-based Action Recognition Model Smaller, Faster and Better |Fan Yang, Sakti Sakriani, Wu Yang, Nakamura Satoshi | code-
IEEE ACCESS 2021
A framework for knowing who is doing what in aerial surveillance videos |Fan Yang, Wu Yang, Sakti Sakriani, Nakamura Satoshi
🎥👣 Multi-object Tracking
CVM Journal 2023
A Unified Multi-view Multi-person Tracking Framework, |Fan Yang, Shigeyuki Odashima, Sosuke Yamao, Hiroaki Fujimoto, Shoichi Masui and Shan Jiang-
WACV 2023
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space, |Fan Yang, Shigeyuki Odashima, Shoichi Masui, Shan Jiang-
Image and Vision Computing 2022
Tackling multiple object tracking with complicated motions—re-designing the integration of motion and appearance |Fan Yang, Xin Chang, Yang Wu, Sakriani Sakti, Satoshi Nakamura-
Image and Vision Computing 2021
ReMOT: A model-agnostic refinement for multiple object tracking |Fan Yang, Xin Chang, Yang Wu, Sakriani Sakti, Satoshi Nakamura-
ICASSP 2020
Using panoramic videos for multi-person localization and tracking in a 3D panoramic coordinate |Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti, Satoshi Nakamura| code-
🎥Pose Estimation
IEEE ACCESS 2019
A soft proposal segmentation network (SPS-Net) for hand segmentation on depth videos |Fan Yang, Wu Yang, Sakti Sakriani, Nakamura SatoshiCVPR 2018
Depth-based 3d hand pose estimation: From current achievements to future goals | Shanxin Yuan, …, Fan Yang, …, Tae-Kyun Kim
Others
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Machine Intelligence Research 2022
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions | Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi Computers \& Electrical Engineering 2021
Representation-guided generative adversarial network for unpaired photo-to-caricature translation | Ziqiang Zheng, Hongzhi Liu, Fan Yang, et al.-
IEEE Transactions on Multimedia 2020
Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval | Fan Yang, Wu Yang, Wang Zheng, Li Xiang, Sakti Sakriani, Nakamura Satoshi | code
IEEE EMBC 2018
Application of SsVGMM to medical data-classification with novelty detection| Fan Yang, Soriano Jaymar, Kubo Takatomi, Ikeda Kazushi | code
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ICONIP 2017
A hierarchical mixture density network| Fan Yang, Soriano Jaymar, Kubo Takatomi, Ikeda Kazushi
🎖 Honors and Awards
Conference Awards
- 2023 IROS Best Paper Award Finalist on Cognitive Robotics.
Challenges Awards
- 2022 ECCV Multiple Object Tracking and Segmentation in Complex Environments Workshop Challenges: 🥈2nd-place award on multiple people tracking in group dance task.
- 2022 CVPR SoccerNet & ActivityNet Workshops Challenges: 🥈2nd-place award on multi-camera multi-person tracking task.
- 2021 ICCV Multi-camera Multi-person Tracking Workshop Challenges: 🏅4th-place award on multi-camera multi-person tracking task. Click the image to see the report on YouTube.
- 2020 CVPR MOTS Workshop Challenges: 🥇1st-place award on multi-object tracking and segmentation task.
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- 2020 CVPR Workshop on Autonomous Driving (WAD) Challenges: 🥇1st-place award on BDD100K multi-object tracking task.
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- 2017 ICCV Workshop on 3D Hand Pose Estimation Challenges: 🥇1st-place award on the object interaction task and 🥈2nd-place award on the tracking task. Click the image to see the report on YouTube.
Scholarships:
- 2019 NAIST Excellent Student Scholarship.
- 2018-2019 Donghua Education Scholarship.
- 2017 Heiwa Nakajima Scholarship.