Hyo-Jun Lee

According to our database, Hyo-Jun Lee authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MECFormer: Multiple Exposure Correction Transformer Based on Autoencoder.

Jong-Hyeon Baek, Hyo-Jun Lee, Hanul Kim, Yeong Jun Koh

IEEE Access, 2025

SOAP: Vision-Centric 3D Semantic Scene Completion with Scene-Adaptive Decoder and Occluded Region-Aware View Projection.

Hyo-Jun Lee, Yeong Jun Koh, Hanul Kim, Hyunseop Kim, Yonguk Lee, Jinu Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GRAE-3DMOT: Geometry Relation-Aware Encoder for Online 3D Multi-Object Tracking.

Hyunseop Kim, Hyo-Jun Lee, Yonguk Lee, Jinu Lee, Hanul Kim, Yeong Jun Koh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2023

Joint Appearance and Motion Model With Temporal Transformer for Multiple Object Tracking.

Hyunseop Kim, Hyo-Jun Lee, Hanul Kim, Seong-Gyun Jeong, Yeong Jun Koh

IEEE Access, 2023

Luminance-aware Color Transform for Multiple Exposure Correction.

Jong-Hyeon Baek, Daehyun Kim, Su-Min Choi, Hyo-Jun Lee, Hanul Kim, Yeong Jun Koh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Local Connectivity-Based Density Estimation for Face Clustering.

Junho Shin, Hyo-Jun Lee, Hyunseop Kim, Jong-Hyeon Baek, Daehyun Kim, Yeong Jun Koh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BAAM: Monocular 3D pose and shape reconstruction with bi-contextual attention module and attention-guided modeling.

Hyo-Jun Lee, Hanul Kim, Su-Min Choi, Seong-Gyun Jeong, Yeong Jun Koh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023