Seunghun Lee

According to our database, Seunghun Lee authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

CVA: Context-aware Video-text Alignment for Video Temporal Grounding.

Sungho Moon, Seunghun Lee, Jiwan Seo, Sunghoon Im

CoRR, March, 2026

2025

SAMDWICH: Moment-aware Video-text Alignment for Referring Video Object Segmentation.

Seunghun Lee, Jiwan Seo, Jeonghoon Kim, Siwon Kim, Haeun Yun, Hyogyeong Jeon, Wonhyeok Choi, Jaehoon Jeong, Zane Durante, Sang Hyun Park, Sunghoon Im

CoRR, August, 2025

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation.

Seunghun Lee, Jiwan Seo, Minwoo Choi, Kiljoon Han, Jaehoon Jeong, Zane Durante, Ehsan Adeli, Sang Hyun Park, Sunghoon Im

CoRR, July, 2025

Bridging Geometric and Semantic Foundation Models for Generalized Monocular Depth Estimation.

Sanggyun Ma, Wonjoon Choi, Jihun Park, Jaeyeul Kim, Seunghun Lee, Jiwan Seo, Sunghoon Im

CoRR, May, 2025

CAVIS: Context-Aware Video Instance Segmentation.

Seunghun Lee, Jiwan Seo, Kiljoon Han, Minwoo Choi, Sunghoon Im

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

LOMM: Latest Object Memory Management for Temporally Consistent Video Instance Segmentation.

Seunghun Lee, Jiwan Seo, Minwoo Choi, Kiljoon Han, Jaehoon Jeong, Zane Durante, Ehsan Adeli, Sang Hyun Park, Sunghoon Im

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Style-Editor: Text-driven Object-centric Style Editing.

Jihun Park, Jongmin Gim, Kyoungmin Lee, Seunghun Lee, Sunghoon Im

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

2024

TEXTOC: Text-driven Object-Centric Style Transfer.

Jihun Park, Jongmin Gim, Kyoungmin Lee, Seunghun Lee, Sunghoon Im

CoRR, 2024

Context-Aware Video Instance Segmentation.

Seunghun Lee, Jiwan Seo, Kiljoon Han, Minwoo Choi, Sunghoon Im

CoRR, 2024

Offline-to-Online Knowledge Distillation for Video Instance Segmentation.

Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Offline-to-Online Knowledge Distillation for Video Instance Segmentation.

Hojin Kim, Seunghun Lee, Sunghoon Im

CoRR, 2023

Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation.

Changjae Kim, Seunghun Lee, Sunghoon Im

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation.

Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation.

Seunghun Lee, Sunghyun Cho, Sunghoon Im

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021