Seokju Cho

Orcid: 0000-0003-1199-9596

According to our database¹, Seokju Cho authored at least 22 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Exploring Temporally-Aware Features for Point Tracking.

[BibT_eX]

[DOI]

CoRR, January, 2025

2024

Multi-Granularity Video Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification.

[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

Local All-Pair Correspondence for Point Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 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

FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking.

[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

DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DiffFace: Diffusion-based Face Swapping with Facial Guidance.

[BibT_eX]

[DOI]

CoRR, 2022

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence.

[BibT_eX]

[DOI]

CoRR, 2022

AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning.

[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

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

Seokju Cho

Timeline

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