Hyeonho Jeong

21 papers A* 4Misc 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Memory-V2V: Augmenting Video-to-Video Diffusion Models with Memory.
CoRR
Dohun Lee, Chun-Hao Paul Huang, Xuelin Chen, Jong Chul Ye, Duygu Ceylan, Hyeonho Jeong
2026 J jnl
TrajectoryMover: Generative Movement of Object Trajectories in Videos.
CoRR
Kiran Chhatre, Hyeonho Jeong, Yulia Gryaditskaya, Christopher E. Peters, Chun-Hao Paul Huang, Paul Guerrero
2025 J jnl
Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders.
CoRR
Dohun Lee, Hyeonho Jeong, Jiwook Kim, Duygu Ceylan, Jong Chul Ye
2025 J jnl
On Unifying Video Generation and Camera Pose Estimation.
CoRR
Chun-Hao Paul Huang, Jae Shin Yoon, Hyeonho Jeong, Niloy J. Mitra, Duygu Ceylan
2025 J jnl
Reangle-A-Video: 4D Video Generation as Video-to-Video Translation.
CoRR
Hyeonho Jeong, Suhyeon Lee, Jong Chul Ye
2025 J jnl
SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time.
CoRR
Zhening Huang, Hyeonho Jeong, Xuelin Chen, Yulia Gryaditskaya, Tuanfeng Y. Wang, Joan Lasenby, Chun-Hao Huang
2025 A* conf
Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models.
AAAI
Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye
2025 A* conf
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation.
CVPR
Hyeonho Jeong, Chun-Hao P. Huang, Jong Chul Ye, Niloy J. Mitra, Duygu Ceylan
2024 J jnl
DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing.
CoRR
Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye
2024 — conf
DreamMotion: Space-Time Self-similar Score Distillation for Zero-Shot Video Editing.
ECCV (30)
Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye
2024 A* conf
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models.
ICLR
Hyeonho Jeong, Jong Chul Ye
2024 Misc conf
Neural Network Training Strategy To Enhance Anomaly Detection Performance: A Perspective On Reconstruction Loss Amplification.
ICASSP
YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeonho Jeong, Hyunkyu Park, Hyeong-Seok Kim, Juneho Yi
2024 J jnl
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models.
CoRR
Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye
2024 J jnl
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation.
CoRR
Hyeonho Jeong, Chun-Hao Paul Huang, Jong Chul Ye, Niloy J. Mitra, Duygu Ceylan
2024 A* conf
VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models.
CVPR
Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye
2023 J jnl
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models.
CoRR
Hyeonho Jeong, Jong Chul Ye
2023 J jnl
Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification.
CoRR
YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeonho Jeong, Hyunkyu Park, Hyeong-Seok Kim, Juneho Yi
2023 J jnl
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models.
CoRR
Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye
2023 J jnl
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models.
CoRR
Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye
2020 — conf
Proposed On-site Document Sharing System using FIDO.
ICEA
Mingyu Lee, Hanbyeol Kang, Junbeom Kwak, Donghyun Kim, Hyeonho Jeong, Jung Taek Seo
2019 J jnl
Point Cloud Segmentation of Crane Parts Using Dynamic Graph CNN for Crane Collision Avoidance.
J. Comput. Sci. Eng.
Hyeonho Jeong, Hyosung Hong, Gyuha Park, Mooncheol Won, Mingyu Kim, Hoyeong Yu