Sunghwan Hong

Orcid: 0000-0003-0685-3779

According to our database¹, Sunghwan Hong authored at least 32 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

On csauthors.net:

Bibliography

2026

Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

TORA: Topological Representation Alignment for 3D Shape Assembly.

[BibT_eX]

[DOI]

CoRR, April, 2026

TETO: Tracking Events with Teacher Observation for Motion Estimation and Frame Interpolation.

[BibT_eX]

[DOI]

CoRR, March, 2026

Moving Beyond Sparse Grounding with Complete Screen Parsing Supervision.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

LitePT: Lighter Yet Stronger Point Transformer.

[BibT_eX]

[DOI]

CoRR, December, 2025

C3G: Learning Compact 3D Representations with 2K Gaussians.

[BibT_eX]

[DOI]

CoRR, December, 2025

Emergent Outlier View Rejection in Visual Geometry Grounded Transformers.

[BibT_eX]

[DOI]

CoRR, December, 2025

3D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation.

[BibT_eX]

[DOI]

CoRR, October, 2025

Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers.

[BibT_eX]

[DOI]

CoRR, September, 2025

Visual Representation Alignment for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, September, 2025

D^2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes.

[BibT_eX]

[DOI]

CoRR, April, 2025

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Cross-View Completion Models are Zero-shot Correspondence Estimators.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Cross-View Completion Models are Zero-shot Correspondence Estimators.

[BibT_eX]

[DOI]

CoRR, 2024

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CATs++: Boosting Cost Aggregation With Convolutions and Transformers.

[BibT_eX]

[DOI]

Seokju Cho

Sunghwan Hong

Seungryong Kim

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation.

[BibT_eX]

[DOI]

CoRR, 2023

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

A Prediction Model of Pixel Shrinkage Failure Using Multi-physics in OLED Manufacturing Process.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

2022

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence.

[BibT_eX]

[DOI]

CoRR, 2022

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Cost Aggregation Is All You Need for Few-Shot Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Semantic Correspondence with Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

CATs: Cost Aggregation Transformers for Visual Correspondence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Matching Prior: Test-Time Optimization for Dense Correspondence.

[BibT_eX]

[DOI]

Sunghwan Hong

Seungryong Kim

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Sunghwan Hong

Timeline

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Links

On csauthors.net:

Bibliography

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