Seokju Cho

According to our database, Seokju Cho authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin

CoRR, 2024

2023

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

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.

Jiuhn Song, Seonghoon Park, Honggyu An, Seokju Cho, Minseop Kwak, Sungjin Cho, Seungryong Kim

CoRR, 2023

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

Seokju Cho, Heeseong Shin, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim

CoRR, 2023

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

Jiuhn Song, Seonghoon Park, Honggyu An, Seokju Cho, Minseop Kwak, Sungjin Cho, Seungryong Kim

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.

Jihye Park, Sunwoo Kim, Soohyun Kim, Seokju Cho, Jaejun Yoo, Youngjung Uh, Seungryong Kim

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

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

Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim

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

2022

DiffFace: Diffusion-based Face Swapping with Facial Guidance.

Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, Kwanghee Lee

CoRR, 2022

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence.

Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin

CoRR, 2022

AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning.

Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim

CoRR, 2022

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

Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim

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.

Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

Sunghwan Hong, Seokju Cho, Jisu Nam, Seungryong Kim

CoRR, 2021

Semantic Correspondence with Transformers.

Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim

CoRR, 2021

CATs: Cost Aggregation Transformers for Visual Correspondence.

Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim

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