I am a 4th year Ph.D. student advised by Prof. Kuk-Jin Yoon at Visual Intelligence Lab (VILab), Korea Advanced Institute of Science and Technology (KAIST).

My research centers on 3D scene understanding for autonomous driving and robotics, with a focus on building models that generalize and remain robust across diverse domains. I am also particularly interested in leveraging multiple sensing modalities, including LiDAR, cameras, and event cameras.

My CV can be found here.

Publications

Test-Time Training for LiDAR Semantic Segmentation under Corruption via Geometric Inlier Discrimination
H. Kim*, H. Jang*, K. Yoon
CVPR 2026
[paper] [code]

TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
H. Jang*, J. Kim*, H. Kweon*, K. Yoon
NeurIPS 2024
[paper] [code]

GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer
Y. Yoon*, H. Jang*, K. Yoon
ECCV 2024
[paper]

Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields
T. Kim, Y. Chae, H. Jang, K. Yoon
CVPR 2023 (Highlight, Top 2.5% of submissions)
[paper] [code]

Selected Honors and Awards

• 2025 / Selected as a NeurIPS 2025 Top Reviewer
• 2023 / Gold prize in Best Paper Awards during IPIU 2023, 35th Workshop on Image Processing and Image Understanding
  

I have served as a reviewer for top-tier conferences including CVPR, ICCV, ECCV, and NeurIPS.

Projects

• 2025 ~ / Development for Autonomous Driving in Unstructured Off-Road Environments / Hanwha Aerospace
• 2025 / Data Augmentation and Sensor Fusion Techniques for Robust Autonomous Driving / 42dot
• 2024 / 2025 HMG Autonomous Driving Challenge / Advisor
• 2022 ~ 2024 / AI Research for Intelligent X-ray Luggage Scanning System / X-ray imaging, object detection, weakly supervised object localization