Sung-Hoon Yoon

Orcid: 0000-0001-5851-2031

Affiliations:
  • Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea
  • Harvard University, Harvard AI and Robotics Lab, Boston, MA, USA
  • Korea Advanced Institute of Science and Technology (KAIST), Department of Mechanical Engineering, Visual Intelligence Lab, Daejeon, South Korea (PhD 2024)


According to our database1, Sung-Hoon Yoon authored at least 14 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
TrailBlazer: History-Guided Reinforcement Learning for Black-Box LLM Jailbreaking.
CoRR, February, 2026

2025
Delta Velocity Rectified Flow for Text-to-Image Editing.
CoRR, September, 2025

SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
Diffusion-Guided Weakly Supervised Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

On-the-Fly Category Discovery for LiDAR Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras.
Proceedings of the Computer Vision - ECCV 2024, 2024

Class Tokens Infusion for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-Specific Token Memory.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation.
CoRR, 2021

Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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