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 codeACM MM ASIA 2021
Make Skeleton-based Action Recognition Model Smaller, Faster and Better |Fan Yang, Sakti Sakriani, Wu Yang, Nakamura Satoshi | codeIEEE 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 JiangWACV 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 JiangImage 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 NakamuraImage and Vision Computing 2021
ReMOT: A model-agnostic refinement for multiple object tracking |Fan Yang, Xin Chang, Yang Wu, Sakriani Sakti, Satoshi NakamuraICASSP 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
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.
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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.