Sunghwan Hong

Orcid: 0000-0003-0685-3779

According to our database1, Sunghwan Hong authored at least 19 papers between 2021 and 2024.

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

Timeline

2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cross-View Completion Models are Zero-shot Correspondence Estimators.
CoRR, 2024

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting.
CoRR, 2024

Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels.
CoRR, 2024

Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
CATs++: Boosting Cost Aggregation With Convolutions and Transformers.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs.
CoRR, 2023

Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation.
CoRR, 2023

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.
CoRR, 2023

A Prediction Model of Pixel Shrinkage Failure Using Multi-physics in OLED Manufacturing Process.
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

2022
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence.
CoRR, 2022

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Cost Aggregation Is All You Need for Few-Shot Segmentation.
CoRR, 2021

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation.
CoRR, 2021

Semantic Correspondence with Transformers.
CoRR, 2021

CATs: Cost Aggregation Transformers for Visual Correspondence.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021


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