Sangeek Hyun

Orcid: 0000-0002-4050-6896

According to our database1, Sangeek Hyun authored at least 22 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Cross-scale Aligned Supervision for Training GANs.
CoRR, May, 2026

Disambiguating 2D-3D Correspondences in Gaussian Splatting-based Feature Fields for Visual Localization.
CoRR, May, 2026

Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation.
CoRR, March, 2026

SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models.
CoRR, February, 2026

Correlation-guided calibration of query dependency for video temporal grounding.
Pattern Recognit., 2026

2025
Scalable GANs with Transformers.
CoRR, September, 2025

Rethinking LayerNorm in Image Restoration Transformers.
CoRR, April, 2025

Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Auto-Encoded Supervision for Perceptual Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Auto-Encoded Supervision for Perceptual Image Super-Resolution.
CoRR, 2024

Adversarial Generation of Hierarchical Gaussians for 3D Generative Model.
CoRR, 2024

GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Diversity-Aware Channel Pruning for StyleGAN Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Style Injection in Diffusion: A Training-Free Approach for Adapting Large-Scale Diffusion Models for Style Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Task-Disruptive Background Suppression for Few-Shot Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Frequency-Based Motion Representation for Video Generative Adversarial Networks.
IEEE Trans. Image Process., 2023

Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding.
CoRR, 2023

Disentangled Representation Learning for Unsupervised Neural Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Query - Dependent Video Representation for Moment Retrieval and Highlight Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Local Attention Pyramid for Scene Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
VarSR: Variational Super-Resolution Network for Very Low Resolution Images.
Proceedings of the Computer Vision - ECCV 2020, 2020


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