Deep Matching Prior: Test-Time Optimization for Dense Correspondence. - Sunghwan Hong; Seungryong Kim (ICCV, 2021)

CATs: Cost Aggregation Transformers for Visual Correspondence. - Seokju Cho; Sunghwan Hong; Sangryul Jeon; Yunsung Lee; Kwanghoon Sohn; Seungryong Kim (NeurIPS, 2021)

Semantic Correspondence with Transformers. - Seokju Cho; Sunghwan Hong; Sangryul Jeon; Yunsung Lee; Kwanghoon Sohn; Seungryong Kim (CoRR, 2021)

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation. - Hojoon Lee; Dongyoon Hwang; Sunghwan Hong; Changyeon Kim; Seungryong Kim; Jaegul Choo (CoRR, 2021)

Cost Aggregation Is All You Need for Few-Shot Segmentation. - Sunghwan Hong; Seokju Cho; Jisu Nam; Seungryong Kim (CoRR, 2021)

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. - Sunghwan Hong; Seokju Cho; Jisu Nam; Stephen Lin 001; Seungryong Kim (ECCV (29), 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 (NeurIPS, 2022)

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence. - Sunghwan Hong; Seokju Cho; Seungryong Kim; Stephen Lin 001 (CoRR, 2022)

A Prediction Model of Pixel Shrinkage Failure Using Multi-physics in OLED Manufacturing Process. - Byunggoo Jung; Sunghwan Hong; Hyungkeon Cho; Yudeok Seo; Sungchan Jo (ICCSA (2), 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)

Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation. - Susung Hong; Junyoung Seo; Sunghwan Hong; Heeseong Shin; Seungryong Kim (CoRR, 2023)

Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs. - Sunghwan Hong; Jaewoo Jung; Heeseong Shin; Jiaolong Yang; Seungryong Kim; Chong Luo (CoRR, 2023)

CATs++: Boosting Cost Aggregation With Convolutions and Transformers. - Seokju Cho; Sunghwan Hong; Seungryong Kim (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. - Seokju Cho; Heeseong Shin; Sunghwan Hong; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (CVPR, 2024)

Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis. - Sunghwan Hong; Jaewoo Jung; Heeseong Shin; Jiaolong Yang; Seungryong Kim; Chong Luo (CVPR, 2024)

Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. - Sunghwan Hong; Seokju Cho; Seungryong Kim; Stephen Lin 001 (ICLR, 2024)

Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels. - Heeseong Shin; Chaehyun Kim; Sunghwan Hong; Seokju Cho; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (NeurIPS, 2024)

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting. - Sunghwan Hong; Jaewoo Jung; Heeseong Shin; Jisang Han; Jiaolong Yang; Chong Luo; Seungryong Kim (CoRR, 2024)

Cross-View Completion Models are Zero-shot Correspondence Estimators. - Honggyu An; Jinhyeon Kim; Seonghoon Park 002; Jaewoo Jung; Jisang Han; Sunghwan Hong; Seungryong Kim (CoRR, 2024)

Cross-View Completion Models are Zero-shot Correspondence Estimators. - Honggyu An; Jin Hyeon Kim; Seonghoon Park 002; Jaewoo Jung; Jisang Han; Sunghwan Hong; Seungryong Kim (CVPR, 2025)

D^2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes. - Jisang Han; Honggyu An; Jaewoo Jung; Takuya Narihira; Junyoung Seo; Kazumi Fukuda; Chaehyun Kim; Sunghwan Hong; Yuki Mitsufuji; Seungryong Kim (CoRR, 2025)