Shutong JIN
Hi there! I'm currently a PhD student at RPL, KTH Royal Institute of Technology under the supervision of Assoc. Prof. Florian Pokorny (main supervisor) and Prof. Erik Elmroth (co-supervisor), funded by Wallenberg AI, Autonomous Systems and Software Program (WASP). My research includes two directions:
Current Research Interest: Attention Mechanism, Zero-shot Robotic Manipulation, Vision/Video Transformers/Diffusion Models, Visuo-motor Control Policies.
Feel free to contact me if you are interested in collecting another large-scale dataset with our cloud robotics platform!
PACA: Perspective-Aware Cross-Attention Representation for Zero-Shot Scene Rearrangement [Video] Shutong Jin*, Ruiyu Wang*, Kuangyi Chen, Florian T. Pokorny Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
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Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor Policies Ruiyu Wang, Zheyu Zhuang, Shutong Jin, Nils Ingelhag, Danica Kragic, Florian T. Pokorny Preprint
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Shutong Jin, Ruiyu Wang, Zahid Muhammad and Florian T. Pokorny IEEE/RSJ IROS 2024 Workshop on Collecting, Managing, and Utilizing Data through Embodied Robots.
Best Poster Award |
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CloudGripper-AutoGrasper: A Cloud Robotics Toolkit for Automatic Data Collection Axel Kaliff, Shutong Jin, Zahid Muhammad and Florian T. Pokorny IEEE/RSJ IROS 2024 Workshop on Collecting, Managing, and Utilizing Data through Embodied Robots.
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RealCraft: Attention Control as A Tool for Zero-shot Consistent Video Editing Shutong Jin, Ruiyu Wang and Florian T. Pokorny Preprint.
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How Physics and Background Attributes Impact Video Transformers in Robotic Manipulation: A Case Study on Planar Pushing [Video] Shutong Jin, Ruiyu Wang, Muhammad Zahid and Florian T. Pokorny 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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SectionKey: 3-D Semantic Point Cloud Descriptor for Place Recognition Shutong Jin*, Zhenyu Wu*, Chunyang Zhao, Jun Zhang, Guohao Peng and Danwei Wang 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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PhD candidate: KTH Royal Institute of Technology (Sweden)
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Master: Nanyang Technological University (Singapore)
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Foundation Master: Ecole Centrale de Nantes (France)
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Bachelor: Wuhan University (China)
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Deep Learning in Data Science
Assistant
Foundations of Machine Learning
Assistant
Reviewing Activities: IROS, WACV
Supervised Master's Student: Axel Kaliff