Hyojun Go

According to our database1, Hyojun Go authored at least 22 papers between 2021 and 2024.

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

Timeline

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Links

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Bibliography

2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models.
CoRR, 2024

Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts.
CoRR, 2024

Multi-Architecture Multi-Expert Diffusion Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D.
CoRR, 2023

Denoising Task Routing for Diffusion Models.
CoRR, 2023

Multi-Architecture Multi-Expert Diffusion Models.
CoRR, 2023

ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function.
CoRR, 2023

Addressing Negative Transfer in Diffusion Models.
CoRR, 2023

Addressing Negative Transfer in Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Practical Plug-and-Play Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Evaluation of Question Generation Needs More References.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Cross Encoding as Augmentation: Towards Effective Educational Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Bridging Implicit and Explicit Geometric Transformations for Single-Image View Synthesis.
CoRR, 2022

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Geometrically Adaptive Dictionary Attack on Face Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Hidden Conditional Adversarial Attacks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation.
CoRR, 2021

Small Input Noise is Enough to Defend Against Query-based Black-box Attacks.
CoRR, 2021

Fine-Grained Multi-Class Object Counting.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Rethinking Training Schedules For Verifiably Robust Networks.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021


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