Yanjun Sun

About Me

I am a Ph.D. Student at Keio University, supervised by Yoshimitsu Aoki. I also currently work as a research assistant at the National Institute of Advanced Industrial Science and Technology (AIST), supervised by Yue Qiu. I am actively job hunting for graduation in March 2025!

Research Interests

• Multi-Modal: vision and language, multi-modal LLM
• Embodied AI: navigation, planning

News

• [Apr. 2024] We will host a challenge at DICTA 2024.
• [Feb. 2024] Our paper about continual change recognition has been accepted to CVPR 2024.
• [Jan. 2024] Our paper about vision-and-language navigation has been accepted to ICRA 2024.
• [Aug. 2023] Presenting our work about vision-and-langauge navigation at MIRU 2023.
• [Jun. 2023] A paper about vision-and-language navigation has been accepted to the Embodied AI Workshop in CVPR 2023.
• [Feb. 2023] Our paper about change recognition has been accepted to CVPR 2023.

Work Experience

• Research Internship, July 2024 - Present,
  • Activity Understanding Team, CyberAgent Inc. AI Lab
• Research Assistant, August 2022 - June 2024,
  • Computer Vision Research Team, National Institute of Advanced Industrial Science and Technology (AIST)

Education

• Ph. D in Electrical Engineering, April 2022 - March 2025 (Expected),
  • Department of Electronics and Electrical Engineering, Keio University, Kanagawa, Japan
  • Prof. Yoshimitsu Aoki
• Master in Engineering, April 2020 - March 2022.
  • Graduate School of Humanities and Sciences, Ochanomizu University, Tokyo, Japan
  • Prof. Ichiro Kobayashi

Publications

Jounral

• Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka, “Outdoor Vision-and-Language Navigation Needs Object-level Alignment;” Sensors 23(13), 6028, June 2023.

International Conference

• Fumiya Matsuzawa, Yue Qiu, Yanjun Sun, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh, “Subtle-Diff: A Dataset for Precise Recognition of Subtle Differences Among Visually Similar Objects;“ IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.

• Yanjun Sun*, Yue Qiu*, Mariia Khan, Fumiya Matsuzawa, Kenji Iwata, “The STVchrono Dataset: Towards Continuous Change Recognition in Time;” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (*equal contribution).

• Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka, “Guided by the Way: The Role of On-the-route Objects and Scene Text in Enhancing Outdoor Navigation;” IEEE International Conference on Robotics and Automation (ICRA), 2024.

• Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka, “Boosting Outdoor Vision-and-Language Navigation with On-the-route Objects;” Embodied AI Workshop in CVPR, 2023.

• Yue Qiu, Yanjun Sun, Fumiya Matsuzawa, Kenji Iwata, Hirokatsu Kataoka, “Graph Representation for Order-Aware Visual Transformation;” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

• Yanjun Sun, Mitsuhiro Ogawa, “Evaluation of Video Compression for Facial Image Photoplethysmography in Time Series Space;” IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), 2020.

Domestic Conference

• Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka, “Boosting Outdoor Vision-and-Language Navigation with On-the-route Objects;” 画像の認識・理解シンポジウム, 2023.

• 孫延君， 小林一郎, “画像を通じた同義文の潜在空間における対応関係の学習;” 人工知能学会全国大会, 2021.

• 孫延君，小川充洋，”PPG imagingによる光電脈波抽出における動画像圧縮の影響に関する検討;” 信学技報, vol. 119, no. 452, MBE2019-89, pp. 45-49, 2020年3月.

Funding Source

• JST Doctoral Program Student Support Project, 2022.4-2025.3.

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