Qing Liu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 22

Top Topics

Partial Occlusion

Weakly Supervised

Convolutional Network

Top Venues

Publications

Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu
Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. Cogn. Sci. 47 (9) (2023)
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
A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation. MOVI@MICCAI (2022)
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles. CVPR (2022)
Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu
Visual Analogy: Deep Learning Versus Compositional Models. CogSci (2021)
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models. CoRR (2021)
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. CVPR (2021)
Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion. Int. J. Comput. Vis. 129 (3) (2021)
Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan L. Yuille
Compositional Generative Networks and Robustness to Perceptible Image Changes. CISS (2021)
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency. CoRR (2021)
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion. WACV (2020)
Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. CVPR (2020)
Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion. CoRR (2020)
Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion. CoRR (2020)
Hongjing Lu, Qing Liu, Nicholas Ichien, Alan L. Yuille, Keith J. Holyoak
Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems. CogSci (2019)
Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. CoRR (2019)
Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. ICCV (2019)
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille
Localizing Occluders with Compositional Convolutional Networks. CoRR (2019)
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille
Compositional Convolutional Networks For Robust Object Classification under Occlusion. CoRR (2019)
Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan L. Yuille
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data. ICCV (2019)
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille
Localizing Occluders with Compositional Convolutional Networks. ICCV Workshops (2019)
Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan L. Yuille
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data. CoRR (2018)
Boyang Deng, Qing Liu, Siyuan Qiao, Alan L. Yuille
Unleashing the Potential of CNNs for Interpretable Few-Shot Learning. CoRR (2017)