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Qing Liu
Qing Liu
Adobe Research
Verified email at adobe.com - Homepage
Title
Cited by
Cited by
Year
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
1182019
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
1062020
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
872021
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
732020
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
31*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
282023
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
25*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
222021
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
212019
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
172021
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
162024
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
112019
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
92023
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
9
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
72021
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
72021
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
52024
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
52023
Proceedings of the 2022 IEEE Conference on Computer Vision and Pattern Recognition
Q Liu, A Kortylewski, Z Zhang, Z Li, M Guo, Q Liu, X Yuan, J Mu, W Qiu, ...
52022
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
52021
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