Qing Liu

According to our database, Qing Liu authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping.

Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu

Cogn. Sci., September, 2023

2022

A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation.

Yixiao Zhang, Adam Kortylewski, Qing Liu, Seyoun Park, Benjamin Green, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, Alan L. Yuille

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles.

Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion.

Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille

Int. J. Comput. Vis., 2021

A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation.

Yixiao Zhang, Adam Kortylewski, Qing Liu, Seyoun Park, Benjamin Green, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, Alan L. Yuille

CoRR, 2021

Visual analogy: Deep learning versus compositional models.

Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu

CoRR, 2021

CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models.

Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille

CoRR, 2021

Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency.

Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Compositional Generative Networks and Robustness to Perceptible Image Changes.

Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan L. Yuille

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020

Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion.

Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion.

Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Compositional Convolutional Networks For Robust Object Classification under Occlusion.

Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille

CoRR, 2019

Localizing Occluders with Compositional Convolutional Networks.

Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data.

Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan L. Yuille

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval.

Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems.

Hongjing Lu, Qing Liu, Nicholas Ichien, Alan L. Yuille, Keith J. Holyoak

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2017

Unleashing the Potential of CNNs for Interpretable Few-Shot Learning.

Boyang Deng, Qing Liu, Siyuan Qiao, Alan L. Yuille

CoRR, 2017