| 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 | 2488 | 2023 |
| Progressive neural architecture search C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ... Proceedings of the European conference on computer vision (ECCV), 19-34, 2018 | 2484 | 2018 |
| Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation C Liu, LC Chen, F Schroff, H Adam, W Hua, AL Yuille, L Fei-Fei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1254 | 2019 |
| 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 | 975 | 2024 |
| Few-shot image recognition by predicting parameters from activations S Qiao, C Liu, W Shen, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 676 | 2018 |
| Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 575 | 2021 |
| Scene transformer: A unified architecture for predicting multiple agent trajectories J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... arXiv preprint arXiv:2106.08417, 2021 | 381* | 2021 |
| Attention correctness in neural image captioning C Liu, J Mao, F Sha, A Yuille Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 288 | 2017 |
| Recurrent multimodal interaction for referring image segmentation C Liu, Z Lin, X Shen, J Yang, X Lu, A Yuille Proceedings of the IEEE international conference on computer vision, 1271-1280, 2017 | 286 | 2017 |
| Polyloss: A polynomial expansion perspective of classification loss functions Z Leng, M Tan, C Liu, ED Cubuk, X Shi, S Cheng, D Anguelov arXiv preprint arXiv:2204.12511, 2022 | 219 | 2022 |
| Micro-batch training with batch-channel normalization and weight standardization S Qiao, H Wang, C Liu, W Shen, A Yuille arXiv preprint arXiv:1903.10520, 2019 | 179 | 2019 |
| Rent3d: Floor-plan priors for monocular layout estimation C Liu, AG Schwing, K Kundu, R Urtasun, S Fidler Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 169 | 2015 |
| Weight standardization S Qiao, H Wang, C Liu, W Shen, A Yuille | 167 | 2019 |
| Adversarial attacks beyond the image space X Zeng, C Liu, YS Wang, W Qiu, L Xie, YW Tai, CK Tang, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 167 | 2019 |
| Clevr-ref+: Diagnosing visual reasoning with referring expressions R Liu, C Liu, Y Bai, AL Yuille Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 139 | 2019 |
| V-NAS: Neural architecture search for volumetric medical image segmentation Z Zhu, C Liu, D Yang, A Yuille, D Xu 2019 International conference on 3d vision (3DV), 240-248, 2019 | 136 | 2019 |
| Deep nets: What have they ever done for vision? AL Yuille, C Liu International Journal of Computer Vision 129 (3), 781-802, 2021 | 135 | 2021 |
| Swformer: Sparse window transformer for 3d object detection in point clouds P Sun, M Tan, W Wang, C Liu, F Xia, Z Leng, D Anguelov European Conference on Computer Vision, 426-442, 2022 | 115 | 2022 |
| Are labels necessary for neural architecture search? C Liu, P Dollár, K He, R Girshick, A Yuille, S Xie Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 97 | 2020 |
| Scene graph parsing as dependency parsing YS Wang, C Liu, X Zeng, A Yuille arXiv preprint arXiv:1803.09189, 2018 | 66 | 2018 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
