Kamu erişimi zorunlu olan makaleler - Qing LiuDaha fazla bilgi edinin
Bir yerde sunuluyor: 11
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
Zorunlu olanlar: US National Science Foundation
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
Zorunlu olanlar: Swiss National Science Foundation, US Department of Defense
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
Zorunlu olanlar: Swiss National Science Foundation, US Department of Defense
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
Zorunlu olanlar: Swiss National Science Foundation, US Department of Defense
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
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
Seeing the Meaning: Vision Meets Semanticsin Solving Pictorial Analogy Problems
H Lu, Q Liu, N Ichien, AL Yuille, KJ Holyoak
Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019
Zorunlu olanlar: US National Science Foundation
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
Zorunlu olanlar: US Department of Defense
Seggen: Supercharging segmentation models with text2mask and mask2img synthesis
H Ye, J Kuen, Q Liu, Z Lin, B Price, D Xu
European Conference on Computer Vision, 352-370, 2024
Zorunlu olanlar: Research Grants Council, Hong Kong
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
Zorunlu olanlar: Swiss National Science Foundation
Object-level scene deocclusion
Z Liu, Q Liu, C Chang, J Zhang, D Pakhomov, H Zheng, Z Lin, ...
ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024
Zorunlu olanlar: Research Grants Council, Hong Kong
Two Computational Approaches to Visual Analogy: Task‐Specific Models Versus Domain‐General Mapping
N Ichien, Q Liu, S Fu, KJ Holyoak, AL Yuille, H Lu
Cognitive Science 47 (9), e13347, 2023
Zorunlu olanlar: US National Science Foundation
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