Sunghwan Hong

According to our database, Sunghwan Hong authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• 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

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

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

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

A Prediction Model of Pixel Shrinkage Failure Using Multi-physics in OLED Manufacturing Process.

Byunggoo Jung, Sunghwan Hong, Hyungkeon Cho, Yudeok Seo, Sungchan Jo

Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

2022

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence.

Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin

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

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

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

Deep Matching Prior: Test-Time Optimization for Dense Correspondence.

Sunghwan Hong, Seungryong Kim

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021