| Motionsqueeze: Neural motion feature learning for video understanding H Kwon, M Kim, S Kwak, M Cho Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 135 | 2020 |
| Future transformer for long-term action anticipation D Gong, J Lee, M Kim, SJ Ha, M Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 39 | 2022 |
| Learning self-similarity in space and time as generalized motion for video action recognition H Kwon, M Kim, S Kwak, M Cho Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 39* | 2021 |
| Relational self-attention: What's missing in attention for video understanding M Kim, H Kwon, C Wang, S Kwak, M Cho Advances in Neural Information Processing Systems 34, 8046-8059, 2021 | 27 | 2021 |
| Learning Correlation Structures for Vision Transformers M Kim, PH Seo, C Schmid, M Cho arXiv preprint arXiv:2404.03924, 2024 | | 2024 |
| StructViT: Learning Correlation Structures for Vision Transformers M Kim, PH Seo, C Schmid, M Cho | | 2022 |
| Relational Self-Attention: What’s Missing in Attention for Video Understanding Supplementary Material M Kim, H Kwon, C Wang, S Kwak, M Cho | | |
| Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition Supplementary Material H Kwon, M Kim, S Kwak, M Cho | | |
Minsu ChoAssociate Professor of CSE & AI, POSTECHDirección de correo verificada de postech.ac.kr
