Wonjun Jo

I am a Ph.D. candidate in the Advanced Machine Intelligence (AMI) Lab at POSTECH's Department of Electrical Engineering, advised by Prof. Tae-Hyun Oh.

I am passionate about developing Embodied AI agents for real-world applications.
I believe that the efficient use of human labels and the integration of information from multiple modalities are essential for achieving this goal.
Consequently, my main areas of interest include Self-supervised Learning, Multi-modal Learning, and Embodied AI.

Recently, I have been working with 2D image/video and 3D point cloud data while also exploring other modalities (e.g., sound, text) to advance Embodied AI.

Email   /  CV  /  Scholar  /  LinkedIn

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Research
Self-Supervised Collaborative Distillation for Autonomous Driving
Wonjun Jo, Hyunwoo Ha, Kim Ji-Yeon, Hawook Jeong, Tae-Hyun Oh
Under-review at CVPR, 2025
Project Page / Paper

Improving self-supervised 2D representation learning.

The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning
Wonjun Jo, Kwon Byung-Ki, Kim Ji-Yeon, Hawook Jeong, Kyungdoon Joo, Tae-Hyun Oh
ACCV, 2024
Project Page / Paper

Proposing simple remedies for self-supervised 3D representation learning with 2D representation.


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