| Motionsqueeze: Neural motion feature learning for video understanding H Kwon, M Kim, S Kwak, M Cho Computer VisionECCV 2020: 16th European Conference, Glasgow, UK, August 23
, 2020 | 151 | 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 | 55 | 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 | 44 | 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 | 37 | 2021 |
| Learning correlation structures for vision transformers M Kim, PH Seo, C Schmid, M Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2024 | 2 | 2024 |
| Electronic device and method with spatio-temporal self-similarity consideration M Cho, K Heeseung, M Kim, K Suha US Patent App. 17/977,449, 2024 | | 2024 |
| Learning Correlation Structures for Vision Transformers Supplementary Material M Kim, PH Seo, C Schmid, M Cho | | |
| Relational Self-Attention: Whats Missing in Attention for Video Understanding Supplementary Material M Kim, H Kwon, C Wang, S Kwak, M Cho | | |
| StructViT: Learning Correlation Structures for Vision Transformers M Kim, PH Seo, C Schmid, 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, POSTECHPatvirtintas el. paštas postech.ac.kr
