| Relational Embedding for Few-Shot Classification D Kang, H Kwon, J Min, M Cho International Conference on Computer Vision (ICCV), 2021 | 241 | 2021 |
| Motionsqueeze: Neural motion feature learning for video understanding H Kwon, M Kim, S Kwak, M Cho European Conference on Computer Vision (ECCV), 345-362, 2020 | 153 | 2020 |
| First person action recognition via two-stream convnet with long-term fusion pooling H Kwon, Y Kim, JS Lee, M Cho Pattern Recognition Letters 112, 161-167, 2018 | 46 | 2018 |
| 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 | 45 | 2021 |
| IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos G Moon*, H Kwon*, KM Lee, M Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 40 | 2021 |
| Relational Self-Attention: What's Missing in Attention for Video Understanding M Kim*, H Kwon*, C Wang, S Kwak, M Cho NeurIPS 2021, 2021 | 39 | 2021 |
| Development of mooring-less robotic buoy system using wave powered renewable energy H Joe, M Kim, SM Wi, H Kwon, SC Yu 2014 Oceans-St. John's, 1-6, 2014 | 14 | 2014 |
| Temporal u-nets for video summarization with scene and action recognition H Kwon, W Shim, M Cho Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 7 | 2019 |
| Development of oceanic energy harvesting robotic buoy for persistent operation H Joe, JS Lee, M Kim, SM Wi, HS Kwon, SC Yu ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-14-256, 2014 | 7 | 2014 |
| Video understanding via convolutional temporal pooling network and multimodal feature fusion H Kwon, S Kwak, M Cho Proceedings of the 1st Workshop and Challenge on Comprehensive Video …, 2018 | 3 | 2018 |
| Multi-body point absorber system without a mooring M Kim, SM Wi, H Joe, H Kwon, S Yu OCEANS 2014-TAIPEI, 1-4, 2014 | 2 | 2014 |
| Lightweight structure-aware attention for visual understanding H Kwon, FM Castro, MJ Marin-Jimenez, N Guil, K Alahari arXiv preprint arXiv:2211.16289, 2022 | 1 | 2022 |
| 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 |
| Hidden UI: projection-based augmented reality for map navigation on multi-touch tabletop S Oh, H Kwon, HJ So Proceedings of the 2nd ACM symposium on Spatial user interaction, 162-162, 2014 | | 2014 |
| 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 | | |
| Supplementary Material of “Pose-driven Feature Integration for Robust Human Action Recognition in Videos” G Moon, H Kwon, KM Lee, M Cho | | |
Minsu ChoAssociate Professor of CSE & AI, POSTECHDirección de correo verificada de postech.ac.kr