| Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval Q Liu, L Xie, H Wang, A Yuille Proceedings of the IEEE International Conference on Computer Vision, 3662-3671, 2019 | 123 | 2019 |
| Compositional convolutional neural networks: A deep architecture with innate robustness to partial occlusion A Kortylewski, J He, Q Liu, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 111 | 2020 |
| Compositional convolutional neural networks: A robust and interpretable model for object recognition under occlusion A Kortylewski, Q Liu, A Wang, Y Sun, A Yuille International Journal of Computer Vision 129, 736-760, 2021 | 96 | 2021 |
| Combining compositional models and deep networks for robust object classification under occlusion A Kortylewski, Q Liu, H Wang, Z Zhang, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 77 | 2020 |
| Scenecomposer: Any-level semantic image synthesis Y Zeng, Z Lin, J Zhang, Q Liu, J Collomosse, J Kuen, VM Patel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 2023 |
| Incremental few-shot meta-learning via indirect discriminant alignment Q Liu, O Majumder, A Achille, A Ravichandran, R Bhotika, S Soatto European Conference on Computer Vision, 685-701, 2020 | 34* | 2020 |
| Learning part segmentation through unsupervised domain adaptation from synthetic vehicles Q Liu, A Kortylewski, Z Zhang, Z Li, M Guo, Q Liu, X Yuan, J Mu, W Qiu, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 28* | 2022 |
| Weakly supervised instance segmentation for videos with temporal mask consistency Q Liu, V Ramanathan, D Mahajan, A Yuille, Z Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
| Seeing the meaning: Vision meets semantics in solving pictorial analogy problems H Lu, Q Liu, N Ichien, AL Yuille, KJ Holyoak Proceedings of the Annual Conference of the Cognitive Science Society, 2019 | 21 | 2019 |
| Photoswap: Personalized subject swapping in images J Gu, Y Wang, N Zhao, TJ Fu, W Xiong, Q Liu, Z Zhang, H Zhang, J Zhang, ... Advances in Neural Information Processing Systems 36, 2024 | 19 | 2024 |
| Visual analogy: Deep learning versus compositional models N Ichien, Q Liu, S Fu, KJ Holyoak, A Yuille, H Lu arXiv preprint arXiv:2105.07065, 2021 | 18 | 2021 |
| Towards open-world segmentation of parts TY Pan, Q Liu, WL Chao, B Price Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Semantic part detection via matching: Learning to generalize to novel viewpoints from limited training data Y Bai, Q Liu, L Xie, W Qiu, Y Zheng, AL Yuille Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 11 | 2019 |
| Conversational ai: The science behind the alexa prize. arXiv 2018 A Ram, R Prasad, C Khatri, A Venkatesh, R Gabriel, Q Liu, J Nunn, ... arXiv preprint arXiv:1801.03604, 0 | 10 | |
| Seggen: Supercharging segmentation models with text2mask and mask2img synthesis H Ye, J Kuen, Q Liu, Z Lin, B Price, D Xu arXiv preprint arXiv:2311.03355, 2023 | 7 | 2023 |
| Perceptual artifacts localization for image synthesis tasks L Zhang, Z Xu, C Barnes, Y Zhou, Q Liu, H Zhang, S Amirghodsi, Z Lin, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| Compositional generative networks and robustness to perceptible image changes A Kortylewski, J He, Q Liu, C Cosgrove, C Yang, AL Yuille 2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-8, 2021 | 7 | 2021 |
| Jiteng Mu, Weichao Qiu, and Alan Yuille. Cgpart: A part segmentation dataset based on 3d computer graphics models Q Liu, A Kortylewski, Z Zhang, Z Li, M Guo, Q Liu, X Yuan arXiv preprint arXiv:2103.14098 2, 2021 | 7 | 2021 |
| Swapanything: Enabling arbitrary object swapping in personalized visual editing J Gu, Y Wang, N Zhao, W Xiong, Q Liu, Z Zhang, H Zhang, J Zhang, ... arXiv preprint arXiv:2404.05717, 2024 | 6 | 2024 |
| A light-weight interpretable compositionalnetwork for nuclei detection and weakly-supervised segmentation Y Zhang, A Kortylewski, Q Liu, S Park, B Green, E Engle, G Almodovar, ... arXiv preprint arXiv:2110.13846, 2021 | 5 | 2021 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
