| Graph transformer networks S Yun, M Jeong, R Kim, J Kang, HJ Kim Advances in neural information processing systems 32, 2019 | 1227 | 2019 |
| HOTR: End-to-end Human-Object Interaction Detection with Transformers B Kim, J Lee, J Kang, ES Kim, HJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 324 | 2021 |
| Maximizing subset accuracy with recurrent neural networks in multi-label classification J Nam, E Loza Mencía, HJ Kim, J Fürnkranz Advances in neural information processing systems 30, 2017 | 227 | 2017 |
| Uniondet: Union-level detector towards real-time human-object interaction detection B Kim, T Choi, J Kang, HJ Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 196 | 2020 |
| Neo-gnns: Neighborhood overlap-aware graph neural networks for link prediction S Yun, S Kim, J Lee, J Kang, HJ Kim Advances in Neural Information Processing Systems 34, 13683-13694, 2021 | 127 | 2021 |
| Mixed effects neural networks (menets) with applications to gaze estimation Y Xiong, HJ Kim, V Singh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 115 | 2019 |
| Self-supervised auxiliary learning with meta-paths for heterogeneous graphs D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim Advances in Neural Information Processing Systems 33, 10294-10305, 2020 | 87 | 2020 |
| Multivariate general linear models (MGLM) on Riemannian manifolds with applications to statistical analysis of diffusion weighted images HJ Kim, N Adluru, MD Collins, MK Chung, BB Bendlin, SC Johnson, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 79 | 2014 |
| Point cloud augmentation with weighted local transformations S Kim, S Lee, D Hwang, J Lee, SJ Hwang, HJ Kim Proceedings of the IEEE/CVF international conference on computer vision, 548-557, 2021 | 78 | 2021 |
| Self-positioning point-based transformer for point cloud understanding J Park, S Lee, S Kim, Y Xiong, HJ Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 74 | 2023 |
| Graph Transformer Networks: Learning meta-path graphs to improve GNNs S Yun, M Jeong, S Yoo, S Lee, SY Sean, R Kim, J Kang, HJ Kim Neural Networks 153, 104-119, 2022 | 73 | 2022 |
| Tensorize, factorize and regularize: Robust visual relationship learning SJ Hwang, SN Ravi, Z Tao, HJ Kim, MD Collins, V Singh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 73 | 2018 |
| Metropolis-hastings data augmentation for graph neural networks H Park, S Lee, S Kim, J Park, J Jeong, KM Kim, JW Ha, HJ Kim Advances in Neural Information Processing Systems 34, 19010-19020, 2021 | 60 | 2021 |
| Read-only prompt optimization for vision-language few-shot learning D Lee, S Song, J Suh, J Choi, S Lee, HJ Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 45 | 2023 |
| Large language models are temporal and causal reasoners for video question answering D Ko, JS Lee, W Kang, B Roh, HJ Kim arXiv preprint arXiv:2310.15747, 2023 | 40 | 2023 |
| TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers HK Choi, J Choi, HJ Kim Advances in Neural Information Processing Systems 35, 2022 | 38 | 2022 |
| Efficient relative attribute learning using graph neural networks Z Meng, N Adluru, HJ Kim, G Fung, V Singh Proceedings of the European conference on computer vision (ECCV), 552-567, 2018 | 35 | 2018 |
| Canonical correlation analysis on riemannian manifolds and its applications HJ Kim, N Adluru, BB Bendlin, SC Johnson, BC Vemuri, V Singh Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 35 | 2014 |
| Riemannian nonlinear mixed effects models: Analyzing longitudinal deformations in neuroimaging HJ Kim, N Adluru, H Suri, BC Vemuri, SC Johnson, V Singh Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 32 | 2017 |
| SageMix: Saliency-Guided Mixup for Point Clouds S Lee, M Jeon, I Kim, Y Xiong, HJ Kim Advances in Neural Information Processing Systems 35, 2022 | 31 | 2022 |
Vikas SinghUniversity of Wisconsin Madison在 biostat.wisc.edu 的电子邮件经过验证