| HOTR: End-to-End Human-Object Interaction Detection with Transformers B Kim, J Lee, J Kang, ES Kim, HJ Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2021 | 237 | 2021 |
| UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection B Kim, T Choi, J Kang, HJ Kim Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 154 | 2020 |
| Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network H Jung, B Kim, I Lee, M Yoo, J Lee, S Ham, O Woo, J Kang PloS one 13 (9), e0203355, 2018 | 129 | 2018 |
| Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method H Jung, B Kim, I Lee, J Lee, J Kang BMC medical imaging 18, 1-10, 2018 | 74 | 2018 |
| MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection B Kim, J Mun, KW On, M Shin, J Lee, ES Kim Proceedings of the IEEE Conference of Computer Vision and Pattern …, 2022 | 45 | 2022 |
| UniCLIP: Unified Framework for Contrastive Language-Image Pre-training J Lee, J Kim, H Shon, B Kim, SH Kim, H Lee, J Kim Advances in Neural Information Processing Systems (NeurIPS), 2022 | 25 | 2022 |
| Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining B Kim, Y Jo, J Kim, SH Kim Proceedings of the International Conference on Computer Vision (ICCV), 2023 | 3 | 2023 |
| Expediting Contrastive Language-Image Pretraining via Self-distilled Encoders B Kim, J Kim, Y Jo, SH Kim 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024 | | 2024 |
| UNSPAT: Uncertainty-Guided SpatioTemporal Transformer for 3D Human Pose and Shape Estimation on Videos M Lee, H Lee, B Kim, SH Kim IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 | | 2023 |
| Co-attention Graph Pooling for Efficient Pairwise Graph Interaction Learning J Lee, B Kim, M Jeon, J Kang IEEE Access, 2023 | | 2023 |
| UOTA: Unsupervised Open-Set Task Adaptation Using a Vision-Language Foundation Model Y Min, K Ryoo, B Kim, T Kim Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | | 2023 |
| Unsupervised Open-Set Task Adaptation Using a Vision-Language Foundation Model Y Min, K Ryoo, B Kim, T Kim | | |
Jaewoo Kang (강재우)Dept of Computer Science and Engineering, Korea UniversityVerified email at korea.ac.kr
