Seokju Cho

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Visual Correspondence

Diffusion Model

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Inès Hyeonsu Kim, Joungbin Lee, Soowon Son, Woojeong Jin, Kyusun Cho, Junyoung Seo, Minseop Kwak, Seokju Cho, JeongYeol Baek, Byeongwon Lee, Seungryong Kim
Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification. CoRR (2024)
Seokju Cho, Jiahui Huang, Jisu Nam, Honggyu An, Seungryong Kim, Joon-Young Lee
Local All-Pair Correspondence for Point Tracking. CoRR (2024)
Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. CoRR (2024)
Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. ICLR (2024)
Jihye Park, Sunwoo Kim, Soohyun Kim, Seokju Cho, Jaejun Yoo, Youngjung Uh, Seungryong Kim
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data. CVPR (2023)
Seokju Cho, Sunghwan Hong, Seungryong Kim
CATs++: Boosting Cost Aggregation With Convolutions and Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Jiuhn Song, Seonghoon Park, Honggyu An, Seokju Cho, Minseop Kwak, Sungjin Cho, Seungryong Kim
DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation. CoRR (2023)
Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim
MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation. AAAI (2023)
Seokju Cho, Heeseong Shin, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. CoRR (2023)
Jiuhn Song, Seonghoon Park, Honggyu An, Seokju Cho, Minseop Kwak, Sungjin Cho, Seungryong Kim
DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation. NeurIPS (2023)
Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee
DiffFace: Diffusion-based Face Swapping with Facial Guidance. CoRR (2022)
Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence. NeurIPS (2022)
Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. ECCV (24) (2022)
Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence. CoRR (2022)
Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. CoRR (2022)
Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence. CoRR (2022)
Seokju Cho, Sunghwan Hong, Seungryong Kim
CATs++: Boosting Cost Aggregation with Convolutions and Transformers. CoRR (2022)
Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. CoRR (2022)
Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning. CoRR (2022)
Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim
Semantic Correspondence with Transformers. CoRR (2021)
Sunghwan Hong, Seokju Cho, Jisu Nam, Seungryong Kim
Cost Aggregation Is All You Need for Few-Shot Segmentation. CoRR (2021)
Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim
CATs: Cost Aggregation Transformers for Visual Correspondence. NeurIPS (2021)