Jae-Young Kang

Jae-Young Kang

Ph.D. Student

Professional Summary

Research Interests

  • Autonomous Driving
    • End-to-end Autonomous Driving
    • Multimodal Fusion
    • Stereo Matching, Object Detection
  • Event Camera
    • Application of Event Camera for Various Tasks

Experience

I am currently pursuing my Ph.D. at Korea Advanced Institute of Science and Technology (KAIST) under the supervision of Professor Kuk-Jin Yoon.

  • 2025.03 – Present · Ph.D. student, Mechanical Engineering, KAIST
  • 2023.09 – 2025.02 · M.S., Mechanical Engineering, KAIST
  • 2019.03 – 2023.08 · B.S., Mechanical Engineering, KAIST
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Recent Publications

Event6D: Event-based Novel Object 6D Pose Tracking

Jae-Young Kang*, Hoonhee Cho*, Taeyeop Lee*, Minjun Kang, Bowen Wen, Youngho Kim, Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR

Hoonhee Cho*, Jae-Young Kang*, Yuhwan Jeong*, Yunseo Yang, Wonyoung Lee, Youngho Kim, Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting

Hoonhee Cho*, Jae-Young Kang*, Giwon Lee*, Hyemin Yang*, Heejun Park, Seokwoo Jung, Kuk-Jin Yoon

Conference on Neural Information Processing Systems (NeurIPS) 2025

All Publications
Jae-Young Kang*
Equal contribution
, Hoonhee Cho*
Equal contribution
, Taeyeop Lee*
Equal contribution
, Minjun Kang, Bowen Wen, Youngho Kim, Kuk-Jin Yoon
Advisor
(2026). Event6D: Event-based Novel Object 6D Pose Tracking. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026.
Hoonhee Cho*
Equal contribution
, Jae-Young Kang*
Equal contribution
, Yuhwan Jeong*
Equal contribution
, Yunseo Yang, Wonyoung Lee, Youngho Kim, Kuk-Jin Yoon
Advisor
(2026). DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026.
Jae-Young Kang*
Equal contribution
, Hoonhee Cho*
Equal contribution
, Kuk-Jin Yoon
Advisor
(2025). Temporal Stereo Matching From Event Cameras Via Joint Learning With Stereoscopic Flow. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
Hoonhee Cho*
Equal contribution
, Jae-Young Kang*
Equal contribution
, Giwon Lee*
Equal contribution
, Hyemin Yang*
Equal contribution
, Heejun Park, Seokwoo Jung, Kuk-Jin Yoon
Advisor
(2025). VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting. Conference on Neural Information Processing Systems (NeurIPS) 2025.
PDF Project
Jae-Young Kang*
Equal contribution
, Hoonhee Cho*
Equal contribution
, Kuk-Jin Yoon
Advisor
(2025). Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection. IEEE/CVF International Conference on Computer Vision (ICCV) 2025.
Code PDF
Hoonhee Cho*
Equal contribution
, Jae-Young Kang*
Equal contribution
, Youngho Kim, Kuk-Jin Yoon
Advisor
(2025). Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025, Highlight (3.0%).
Code PDF
Hoonhee Cho, Jae-Young Kang, Taewoo Kim, Yuhwan Jeong, Kuk-Jin Yoon (2025). Unifying Low-Resolution and High-Resolution Alignment by Event Cameras for Space-Time Video Super-Resolution. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025.
PDF
Hoonhee Cho*
Equal contribution
, Jae-Young Kang*
Equal contribution
, Kuk-Jin Yoon
Advisor
(2024). Temporal Event Stereo via Joint Learning with Stereoscopic Flow. European Conference on Computer Vision (ECCV) 2024.
Code PDF
📚 Academic Service
I have been serving the research community as a reviewer for:
  • 2026 · IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
🏅 Honors & News
  • Qualcomm Innovation Fellowship Korea (QIFK) Finalist, 2025
    Selected as a finalist for innovative PhD-level research proposals by Qualcomm
  • CVPR Highlight (Top 3%), 2025
    Ev-3DOD recognized as a Highlight paper at CVPR 2025