| 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 | 157 | 2022 |
| 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 | 104* | 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 | 95 | 2024 |
| 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 | 37 | 2023 |
| 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 | 34 | 2022 |
| Deep Matching Prior: Test-Time Optimization for Dense Correspondence S Hong, S Kim 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 27 | 2021 |
| Cost Aggregation Is All You Need for Few-Shot Segmentation S Hong, S Cho, J Nam, S Kim arXiv preprint arXiv:2112.11685, 2021 | 24 | 2021 |
| 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 | 12 | 2022 |
| 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 | 10 | 2021 |
| 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 | 7 | 2023 |
| Unifying feature and cost aggregation with transformers for semantic and visual correspondence S Hong, S Cho, S Kim, S Lin arXiv preprint arXiv:2403.11120, 2024 | 6 | 2024 |
| Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence S Hong, S Cho, S Kim, S Lin arXiv preprint arXiv:2209.08742, 2022 | 6 | 2022 |
| 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 | 4 | 2024 |
| 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 | 3 | 2024 |
| Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels H Shin, C Kim, S Hong, S Cho, A Arnab, PH Seo, S Kim Advances in Neural Information Processing Systems 37, 9153-9177, 2025 | 1 | 2025 |
| 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, 2024 | 1 | 2024 |
| Cross-View Completion Models are Zero-shot Correspondence Estimators H An, J Kim, S Park, J Jung, J Han, S Hong, S Kim arXiv preprint arXiv:2412.09072, 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 |
| 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 | | 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 |
Seokju ChoKAISTVerified email at kaist.ac.kr
