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Sunghwan Hong
Sunghwan Hong
Ph.D Candidate Computer Science, Korea University
Verified email at korea.ac.kr - Homepage
Title
Cited by
Cited by
Year
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
S Hong, S Cho, J Nam, S Lin, S Kim
European Conference for Computer Vision (ECCV) 2022, 2022
1282022
CATs: Cost Aggregation Transformers for Visual Correspondence
S Cho, S Hong, S Jeon, Y Lee, K Sohn, S Kim
Annual Conference on Neural Information Processing Systems, NeurIPS, 2021, 2021
91*2021
Cat-seg: Cost aggregation for open-vocabulary semantic segmentation
S Cho, H Shin, S Hong, A Arnab, PH Seo, S Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
532024
Cats++: Boosting cost aggregation with convolutions and transformers
S Cho, S Hong, S Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7174-7194, 2022
262022
Large language models are frame-level directors for zero-shot text-to-video generation
S Hong, J Seo, H Shin, S Hong, S Kim
First Workshop on Controllable Video Generation@ ICML24, 2023
242023
Cost Aggregation Is All You Need for Few-Shot Segmentation
S Hong, S Cho, J Nam, S Kim
arXiv preprint arXiv:2112.11685, 2021
242021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
S Hong, S Kim
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
232021
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation
H Lee, D Hwang, S Hong, C Kim, S Kim, J Choo
arXiv preprint arXiv:2108.07505, 2021
112021
Neural matching fields: Implicit representation of matching fields for visual correspondence
S Hong, J Nam, S Cho, S Hong, S Jeon, D Min, S Kim
Advances in Neural Information Processing Systems 35, 13512-13526, 2022
82022
DirecT2V: Large Language Models are Frame-Level Directors for Zero-Shot Text-to-Video Generation
S Hong, J Seo, H Shin, S Hong, S Kim
arXiv preprint arXiv:2305.14330, 2023
42023
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
S Hong, S Cho, S Kim, S Lin
arXiv preprint arXiv:2209.08742, 2022
42022
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
S Hong, S Cho, S Kim, S Lin
The Twelfth International Conference on Learning Representations, 2024
32024
Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs
S Hong, J Jung, H Shin, J Yang, S Kim, C Luo
arXiv preprint arXiv:2312.07246, 2023
32023
Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis
S Hong, J Jung, H Shin, J Yang, S Kim, C Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting
S Hong, J Jung, H Shin, J Han, J Yang, C Luo, S Kim
arXiv preprint arXiv:2410.22128, 2024
2024
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
H Shin, C Kim, S Hong, S Cho, A Arnab, PH Seo, S Kim
arXiv preprint arXiv:2409.19846, 2024
2024
Unifying Feature and Cost Aggregation with Transformers for Dense Correspondence
S Hong, S Cho, S Kim, S Lin
The Twelfth International Conference on Learning Representations, 2023
2023
Cost Aggregation with Transformers for Sparse Correspondence
S Lee, S An, S Hong, S Cho, J Nam, S Hong, S Kim
2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2022
2022
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation Supplementary Materials
S Cho, H Shin, S Hong, A Arnab, PH Seo, S Kim
Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis from Stereo Pairs
S Hong, J Jung, H Shin, J Yang, S Kim, C Luo
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