Sunghwan Hong

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Visual Correspondence

Top Venues

Publications

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)
Seokju Cho, Sunghwan Hong, Seungryong Kim
CATs++: Boosting Cost Aggregation With Convolutions and Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Byunggoo Jung, Sunghwan Hong, Hyungkeon Cho, Yudeok Seo, Sungchan Jo
A Prediction Model of Pixel Shrinkage Failure Using Multi-physics in OLED Manufacturing Process. ICCSA (2) (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)
Susung Hong, Junyoung Seo, Sunghwan Hong, Heeseong Shin, Seungryong Kim
Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation. CoRR (2023)
Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jiaolong Yang, Seungryong Kim, Chong Luo
Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs. CoRR (2023)
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)
Sunghwan Hong, Seungryong Kim
Deep Matching Prior: Test-Time Optimization for Dense Correspondence. ICCV (2021)
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)
Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, Jaegul Choo
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation. CoRR (2021)
Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim
CATs: Cost Aggregation Transformers for Visual Correspondence. NeurIPS (2021)
Sunghwan Hong, Seungryong Kim
Deep Matching Prior: Test-Time Optimization for Dense Correspondence. CoRR (2021)