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Sihyun Yu
Sihyun Yu
Ph.D. student, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
S Yu, J Tack, S Mo, H Kim, J Kim, JW Ha, J Shin
International Conference on Learning Representations, 2022
1812022
Video Probabilistic Diffusion Models in Projected Latent Space
S Yu, K Sohn, S Kim, J Shin
The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
1072023
Consistency Regularization for Adversarial Robustness
J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin
AAAI Conference on Artificial Intelligence, 2022
492022
RoMA: Robust Model Adaptation for Offline Model-based Optimization
S Yu, S Ahn, L Song, J Shin
Advances in Neural Information Processing Systems 35, 2021
342021
Scalable Neural Video Representations with Learnable Positional Features
S Kim, S Yu, J Lee, J Shin
Advances in Neural Information Processing Systems 36, 2022
262022
Abstract Reasoning via Logic-guided Generation
S Yu, S Mo, S Ahn, J Shin
ICML Workshop on Self-Supervised Learning for Reasoning and Perception, 2021
82021
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz
Advances in Neural Information Processing Systems 37, 2023
7*2023
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
S Kim, J Nam, S Yu, Y Shin, J Shin
International Conference on Machine Learning, 2024
22024
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
S Yu, W Nie, DA Huang, B Li, J Shin, A Anandkumar
International Conference on Learning Representations, 2024
12024
MC2: Multi-view Consistent Depth Estimation via Coordinated Image-based Neural Rendering
S Kim, SH Park, S Yu, K Sohn, J Shin
CVPR 2024 Workshop on Neural Rendering Intelligence, 2024
2024
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
J Jeong, S Yu, H Lee, J Shin
The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2023
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