Prati
Qing Liu
Qing Liu
Adobe Research
Potvrđena adresa e-pošte na adobe.com - Početna stranica
Naslov
Citirano
Citirano
Godina
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
732019
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
572020
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
492020
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
472021
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
20*2020
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
152019
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
9*2022
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
92021
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
72021
Incremental meta-learning via indirect discriminant alignment
Q Liu, O Majumder, A Achille, A Ravichandran, R Bhotika, S Soatto
arXiv preprint arXiv:2002.04162, 2020
72020
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
72019
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
52021
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
22021
Localizing Occluders with Compositional Convolutional Networks
A Kortylewski, Q Liu, H Wang, Z Zhang, A Yuille
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
22019
Unleashing the potential of cnns for interpretable few-shot learning
B Deng, Q Liu, S Qiao, A Yuille
22017
Few-shot learning by exploiting visual concepts within cnns
B Deng, Q Liu, S Qiao, A Yuille
arXiv preprint arXiv:1711.08277, 2017
12017
A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation
Y Zhang, A Kortylewski, Q Liu, S Park, B Green, E Engle, G Almodovar, ...
Medical Optical Imaging and Virtual Microscopy Image Analysis: First …, 2022
2022
Alan Yuille. Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles.
Q Liu, A Kortylewski
IEEE Conference on Computer Vision and Pattern Recognition, 2022
2022
A Light-weight Interpretable Compositional Model 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
2021
Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment-Supplementary Material
Q Liu, O Majumder, A Achille, A Ravichandran, R Bhotika, S Soatto
Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.
Članci 1–20