| 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 | 2084 | 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 | 1047 | 2019 |
| 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 | 583 | 2018 |
| 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 | 261 | 2017 |
| 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 | 244 | 2021 |
| 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 | 180 | 2017 |
| Weight standardization S Qiao, H Wang, C Liu, W Shen, A Yuille | 154 | 2019 |
| Scene transformer: A unified architecture for predicting future trajectories of multiple agents J Ngiam, V Vasudevan, B Caine, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... International Conference on Learning Representations, 2021 | 140* | 2021 |
| 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 | 138 | 2015 |
| 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 | 127 | 2019 |
| Deep nets: What have they ever done for vision? AL Yuille, C Liu International Journal of Computer Vision 129, 781-802, 2021 | 110 | 2021 |
| 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 | 108 | 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 | 108 | 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 | 102 | 2019 |
| 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 | 81 | 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 | 75 | 2020 |
| Sort: Second-order response transform for visual recognition Y Wang, L Xie, C Liu, S Qiao, Y Zhang, W Zhang, Q Tian, A Yuille Proceedings of the IEEE International Conference on Computer Vision, 1359-1368, 2017 | 61 | 2017 |
| Scalenet: Guiding object proposal generation in supermarkets and beyond S Qiao, W Shen, W Qiu, C Liu, A Yuille Proceedings of the IEEE International Conference on Computer Vision, 1791-1800, 2017 | 55 | 2017 |
| Scene graph parsing as dependency parsing YS Wang, C Liu, X Zeng, A Yuille arXiv preprint arXiv:1803.09189, 2018 | 54 | 2018 |
| Deep salient content neural networks for efficient digital object segmentation X Lu, Z Lin, S Xiaohui, J Yang, J Zhang, JCJ Chien, LIU Chenxi US Patent 10,460,214, 2019 | 34 | 2019 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
