| Pvanet: Deep but lightweight neural networks for real-time object detection KH Kim, S Hong, B Roh, Y Cheon, M Park arXiv preprint arXiv:1608.08021, 2016 | 322 | 2016 |
| Sparse DETR: Efficient end-to-end object detection with learnable sparsity B Roh, JW Shin, W Shin, S Kim ICLR, 2022, 2022 | 190 | 2022 |
| Spatially consistent representation learning B Roh, W Shin, I Kim, S Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 116 | 2021 |
| PVANet: Lightweight deep neural networks for real-time object detection S Hong, B Roh, KH Kim, Y Cheon, M Park Neural Information Processing Systems 2016 Workshop, 2016 | 106 | 2016 |
| Honeybee: Locality-enhanced projector for multimodal llm J Cha, W Kang, J Mun, B Roh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 94 | 2024 |
| Learning to generate text-grounded mask for open-world semantic segmentation from only image-text pairs J Cha, J Mun, B Roh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 89 | 2023 |
| Cxr-clip: Toward large scale chest x-ray language-image pre-training K You, J Gu, J Ham, B Park, J Kim, EK Hong, W Baek, B Roh International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 56 | 2023 |
| Impulse‐based rigid body interaction in SPH S Oh, Y Kim, BS Roh Computer Animation and Virtual Worlds 20 (2‐3), 215-224, 2009 | 44 | 2009 |
| 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 | 42 | 2023 |
| Expanded 3d space-based virtual sports simulation system UY Yang, YW Kim, K Lee, BS Roh, KH Kim US Patent App. 13/566,928, 2013 | 42 | 2013 |
| Pvanet: Deep but lightweight neural networks for real-time object detection. arXiv 2016 KH Kim, S Hong, B Roh, Y Cheon, M Park arXiv preprint arXiv:1608.08021, 0 | 25 | |
| Meltr: Meta loss transformer for learning to fine-tune video foundation models D Ko, J Choi, HK Choi, KW On, B Roh, HJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 23 | 2023 |
| Technologies for improved object detection accuracy with multi-scale representation and training B Roh, K Kim, S Hong, M Park, Y Cheon US Patent 10,262,237, 2019 | 19 | 2019 |
| Open-vocabulary object detection using pseudo caption labels HC Cho, WY Jhoo, W Kang, B Roh arXiv preprint arXiv:2303.13040, 2023 | 17 | 2023 |
| Noise-aware learning from web-crawled image-text data for image captioning W Kang, J Mun, S Lee, B Roh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 17 | 2023 |
| Convolutional neural network tuning systems and methods SY Byun, B Roh, M Park, B Choe US Patent App. 15/706,930, 2019 | 17 | 2019 |
| Method of processing rigid body interaction in particle-based fluid simulation ST Oh, YH Kim, BS Roh, BK Koo US Patent App. 12/481,305, 2010 | 16 | 2010 |
| Sparse detr: Efficient end-to-end object detection with learnable sparsity. arXiv 2021 B Roh, J Shin, W Shin, S Kim arXiv preprint arXiv:2111.14330, 0 | 12 | |
| Remeshing method and apparatus for restoring sharp features of mesh made smooth enough ST Oh, MJ Lee, BK Koo, SH Pyo, YH Kim, SH Shin, JH Kim, BS Roh US Patent 8,269,771, 2012 | 10 | 2012 |
| Pvanet: Lightweight deep neural networks for real-time object detection. arXiv 2016 S Hong, B Roh, KH Kim, Y Cheon, M Park arXiv preprint arXiv:1611.08588, 0 | 9 | |
Jonghwan MunStaff Engineer at SAIT (Samsung Advanced Institute of Technology)Verified email at samsung.com
