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Sanghyeon Son

🤖A Roboticist

Research Interest

🧠My research interest lies in bringing intelligence to robots.

  • Robot Task and Motion Planning
  • Partially Observable MDP
  • 3D Perception and Geometric Representation
  • Generative Model

Backgrounds

  • 📚Undergraduate Intern, IM^2 Lab @ KAIST Graduate School of AI (Current)
  • 📚Undergraduate Intern, ADIP Lab @ Hanyang University ME
  • 📚Undergraduate Intern, RoDEL @ Hanyang University ME

Projects

Here are several projects that I've worked on!

  • 🚔Udacity Self-Driving Car Nanodegree Repo
  • 🐶SpotMicro! Repo, Tutorials
  • 🍊4-Link Fruit Harvesting Robot(UG Thesis) Youtube
  • 📡Robotic Platform for Service Robot(2nd Prize in KRoC2021 REDShow) Youtube, Poster
  • And more!

Sanghyeon Son's Projects

diffusiontrack icon diffusiontrack

[AAAI 2024] DiffusionTrack: Diffusion Model For Multi-Object Tracking. DiffusionTrack is the first work to employ the diffusion model for multi-object tracking by formulating it as a generative noise-to-tracking diffusion process.

score_sde icon score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

shapo icon shapo

Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization

yolov1-pytorch-colab icon yolov1-pytorch-colab

This is simple and effective implementation of YOLOv1 using pytorch, trainable in "Google Colab" environment.

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