Sign in
Seokju Cho
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 18
Top Topics
Semantic Segmentation
Visual Correspondence
Unlabeled Data
Matching Cost
Top Venues
CoRR
NeurIPS
ECCV (24)
IEEE Trans. Pattern Anal. Mach. Intell.
</>
Publications
</>
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)