| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3253 | 2023 |
| Nas-fpn: Learning scalable feature pyramid architecture for object detection G Ghiasi, TY Lin, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1992 | 2019 |
| Dropblock: A regularization method for convolutional networks G Ghiasi, TY Lin, QV Le Advances in neural information processing systems 31, 2018 | 1244 | 2018 |
| Simple copy-paste is a strong data augmentation method for instance segmentation G Ghiasi, Y Cui, A Srinivas, R Qian, TY Lin, ED Cubuk, QV Le, B Zoph Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1204 | 2021 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1195 | 2024 |
| Rethinking pre-training and self-training B Zoph, G Ghiasi, TY Lin, Y Cui, H Liu, ED Cubuk, Q Le Advances in neural information processing systems 33, 3833-3845, 2020 | 805 | 2020 |
| Learning data augmentation strategies for object detection B Zoph, ED Cubuk, G Ghiasi, TY Lin, J Shlens, QV Le Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 727 | 2020 |
| Laplacian pyramid reconstruction and refinement for semantic segmentation G Ghiasi, CC Fowlkes Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 631 | 2016 |
| Scaling open-vocabulary image segmentation with image-level labels G Ghiasi, X Gu, Y Cui, TY Lin European conference on computer vision, 540-557, 2022 | 458 | 2022 |
| Exploring the structure of a real-time, arbitrary neural artistic stylization network G Ghiasi, H Lee, M Kudlur, V Dumoulin, J Shlens arXiv preprint arXiv:1705.06830, 2017 | 369 | 2017 |
| Spinenet: Learning scale-permuted backbone for recognition and localization X Du, TY Lin, P Jin, G Ghiasi, M Tan, Y Cui, QV Le, X Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 250 | 2020 |
| Combined scaling for zero-shot transfer learning H Pham, Z Dai, G Ghiasi, K Kawaguchi, H Liu, AW Yu, J Yu, YT Chen, ... Neurocomputing 555, 126658, 2023 | 244* | 2023 |
| Occlusion coherence: Localizing occluded faces with a hierarchical deformable part model G Ghiasi, CC Fowlkes Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 219 | 2014 |
| Multi-task self-training for learning general representations G Ghiasi, B Zoph, ED Cubuk, QV Le, TY Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 110 | 2021 |
| Offline text-independent writer identification using codebook and efficient code extraction methods G Ghiasi, R Safabakhsh Image and Vision Computing 31 (5), 379-391, 2013 | 101 | 2013 |
| Occlusion coherence: Detecting and localizing occluded faces G Ghiasi, CC Fowlkes arXiv preprint arXiv:1506.08347, 2015 | 95 | 2015 |
| Parsing occluded people G Ghiasi, Y Yang, D Ramanan, CC Fowlkes Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 72 | 2014 |
| Mnasfpn: Learning latency-aware pyramid architecture for object detection on mobile devices B Chen, G Ghiasi, H Liu, TY Lin, D Kalenichenko, H Adam, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 69 | 2020 |
| Using Segmentation to Predict the Absence of Occluded Parts G Ghiasi, CC Fowlkes BMVC, 2015 | 37 | 2015 |
| Learning data augmentation strategies for object detection J Shlens, ED Cubuk, Q Le, TY Lin, B Zoph, G Ghiasi US Patent 11,301,733, 2022 | 34 | 2022 |
Quoc V. LeResearch Scientist, GoogleВерификована је имејл адреса на stanford.edu
