Chanho Eom

According to our database, Chanho Eom authored at least 20 papers between 2019 and 2026.

Collaborative distances:

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

2026

CoVA: Text-Guided Composed Video Retrieval for Audio-Visual Content.

Gyuwon Han, Young Kyun Jang, Chanho Eom

CoRR, January, 2026

Disentangled Concept Representation for Text-to-image Person Re-identification.

Giyeol Kim, Chanho Eom

CoRR, January, 2026

Generalizable large language model based human keypoint localization for emotion recognition.

Jianing Li, Xiaobin Liu, Chanho Eom, Shuang Yang, Jianzhong He, Hantao Yao, Jing Yuan

Pattern Recognit., 2026

Modality-specific expert guiding for visible-infrared person re-identification.

Xinyu Guo, Xiaobin Liu, Zishao Qiao, Nan Hu, Jianing Li, Chanho Eom, Jing Yuan

J. Vis. Commun. Image Represent., 2026

MoCHA-former: Moiré-conditioned hybrid adaptive transformer for video demoiréing.

Jeahun Sung, Changhyun Roh, Chanho Eom, Jihyong Oh

Neurocomputing, 2026

DiCo: Disentangled concept representation for text-to-image person re-identification.

Giyeol Kim, Chanho Eom

Neurocomputing, 2026

2025

Visual Representation Alignment for Multimodal Large Language Models.

Heeji Yoon, Jaewoo Jung, Junwan Kim, Hyungyu Choi, Heeseong Shin, Sangbeom Lim, Honggyu An, Chaehyun Kim, Jisang Han, Donghyun Kim, Chanho Eom, Sunghwan Hong, Seungryong Kim

CoRR, September, 2025

FLAIR: Frequency- and Locality-Aware Implicit Neural Representations.

Sukhun Ko, Dahyeon Kye, Kyle Min, Chanho Eom, Jihyong Oh

CoRR, August, 2025

R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision.

Weeyoung Kwon, Jeahun Sung, Minkyu Jeon, Chanho Eom, Jihyong Oh

CoRR, June, 2025

AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation.

Dahyeon Kye, Changhyun Roh, Sukhun Ko, Chanho Eom, Jihyong Oh

CoRR, June, 2025

Domain generalization for person re-identification: A survey towards domain-agnostic person matching.

Hyeonseo Lee, Juhyun Park, Jihyong Oh, Chanho Eom

Neurocomputing, 2025

Cerberus: Attribute-based person re-identification using semantic IDs.

Chanho Eom, Geon Lee, Kyunghwan Cho, Hyeonseok Jung, Moonsub Jin, Bumsub Ham

Expert Syst. Appl., 2025

Leveraging Prior Knowledge of Diffusion Model for Person Search.

Giyeol Kim, Sooyoung Yang, Jihyong Oh, Myungjoo Kang, Chanho Eom

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

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search.

Jeimin Jeon, Youngmin Oh, Junghyup Lee, Donghyeon Baek, Dohyung Kim, Chanho Eom, Bumsub Ham

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

GOAL: Global-local Object Alignment Learning.

Hyungyu Choi, Young Kyun Jang, Chanho Eom

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

2022

Disentangled Representations for Short-Term and Long-Term Person Re-Identification.

Chanho Eom, Wonkyung Lee, Geon Lee, Bumsub Ham

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation.

Geon Lee, Chanho Eom, Wonkyung Lee, Hyekang Park, Bumsub Ham

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Video-based Person Re-identification with Spatial and Temporal Memory Networks.

Chanho Eom, Geon Lee, Junghyup Lee, Bumsub Ham

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Temporally Consistent Depth Prediction With Flow-Guided Memory Units.

Chanho Eom, Hyunjong Park, Bumsub Ham

IEEE Trans. Intell. Transp. Syst., 2020

2019

Learning Disentangled Representation for Robust Person Re-identification.

Chanho Eom, Bumsub Ham

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019