| Adversarial Training for Free! A Shafahi, M Najibi, A Ghiasi, Z Xu, J Dickerson, C Studer, LS Davis, ... Advances in Neural Information Processing Systems, 2019 | 1619 | 2019 |
| Poison frogs! targeted clean-label poisoning attacks on neural networks A Shafahi, WR Huang, M Najibi, O Suciu, C Studer, T Dumitras, ... Advances in Neural Information Processing Systems, 6103-6113, 2018 | 1318 | 2018 |
| SNIPER: Efficient multi-scale training B Singh, M Najibi, LS Davis Advances in Neural Information Processing Systems, 9310-9320, 2018 | 683 | 2018 |
| Ssh: Single stage headless face detector M Najibi, P Samangouei, R Chellappa, LS Davis Proceedings of the IEEE international conference on computer vision, 4875-4884, 2017 | 611 | 2017 |
| G-cnn: an iterative grid based object detector M Najibi, M Rastegari, LS Davis Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 264 | 2016 |
| Universal adversarial training A Shafahi, M Najibi, Z Xu, J Dickerson, LS Davis, T Goldstein AAAI Conference on Artificial Intelligence (AAAI), 2020 | 247 | 2020 |
| Offboard 3d object detection from point cloud sequences CR Qi, Y Zhou, M Najibi, P Sun, K Vo, B Deng, D Anguelov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 209 | 2021 |
| Autofocus: Efficient multi-scale inference M Najibi, B Singh, LS Davis Proceedings of the IEEE International Conference on Computer Vision, 2019 | 154 | 2019 |
| Generate, segment and replace: Towards generic manipulation segmentation P Zhou, BC Chen, X Han, M Najibi, LS Davis AAAI Conference on Artificial Intelligence (AAAI), 2020 | 142* | 2020 |
| Soft sampling for robust object detection Z Wu, N Bodla, B Singh, M Najibi, R Chellappa, LS Davis British Machine Vision Conference (BMVC), 2019 | 73 | 2019 |
| Dops: Learning to detect 3d objects and predict their 3d shapes M Najibi, G Lai, A Kundu, Z Lu, V Rathod, T Funkhouser, C Pantofaru, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 67 | 2020 |
| Saliency-based object counting and localization M Najibi, F Yang, Q Wang, R Piramuthu US Patent 10,521,691, 2019 | 63 | 2019 |
| Motion inspired unsupervised perception and prediction in autonomous driving M Najibi, J Ji, Y Zhou, CR Qi, X Yan, S Ettinger, D Anguelov European Conference on Computer Vision, 424-443, 2022 | 59 | 2022 |
| Fa-rpn: Floating region proposals for face detection M Najibi, B Singh, LS Davis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 52 | 2019 |
| An analysis of pre-training on object detection H Li, B Singh, M Najibi, Z Wu, LS Davis arXiv preprint arXiv:1904.05871, 2019 | 49 | 2019 |
| Openelm: An efficient language model family with open training and inference framework S Mehta, MH Sekhavat, Q Cao, M Horton, Y Jin, C Sun, SI Mirzadeh, ... Workshop on Efficient Systems for Foundation Models II@ ICML2024, 2024 | 30 | 2024 |
| Improving the intra-class long-tail in 3d detection via rare example mining CM Jiang, M Najibi, CR Qi, Y Zhou, D Anguelov European Conference on Computer Vision, 158-175, 2022 | 29 | 2022 |
| Revisiting 3d object detection from an egocentric perspective B Deng, CR Qi, M Najibi, T Funkhouser, Y Zhou, D Anguelov Advances in Neural Information Processing Systems 34, 26066-26079, 2021 | 29 | 2021 |
| Apple intelligence foundation language models T Gunter, Z Wang, C Wang, R Pang, A Narayanan, A Zhang, B Zhang, ... arXiv preprint arXiv:2407.21075, 2024 | 28 | 2024 |
| Deep patch feature prediction for image inpainting O Wang, M Lukac, E Shechtman, M Najibi US Patent 10,740,881, 2020 | 27 | 2020 |
Larry DavisProfessor of Computer Science, University of Maryland確認したメール アドレス: cs.umd.edu