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 | 78* | 2021 |
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 | 74 | 2022 |
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation S Cho, H Shin, S Hong, S An, S Lee, A Arnab, PH Seo, S Kim arXiv preprint arXiv:2303.11797, 2023 | 25 | 2023 |
Cost Aggregation Is All You Need for Few-Shot Segmentation S Hong, S Cho, J Nam, S Kim arXiv preprint arXiv:2112.11685, 2021 | 21 | 2021 |
Deep Matching Prior: Test-Time Optimization for Dense Correspondence S Hong, S Kim 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 18 | 2021 |
Cats++: Boosting cost aggregation with convolutions and transformers S Cho, S Hong, S Kim IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 17 | 2022 |
Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation S Hong, J Seo, S Hong, H Shin, S Kim arXiv preprint arXiv:2305.14330, 2023 | 13 | 2023 |
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 | 11 | 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 | 4 | 2022 |
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence S Hong, S Cho, S Kim, S Lin arXiv preprint arXiv:2209.08742, 2022 | 2 | 2022 |
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 | 1 | 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 | | 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 |