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Qiang Qiu
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Cited by
Year
Weakly Supervised Instance Segmentation using Class Peak Response
Y Zhou, Y Zhu, Q Ye, Q Qiu, J Jiao
CVPR 2018 arXiv:1804.00880, 2018
3342018
Oriented response networks
Y Zhou, Q Ye, Q Qiu, J Jiao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
3252017
Lanenet: Real-time lane detection networks for autonomous driving
Z Wang, W Ren, Q Qiu
arXiv preprint arXiv:1807.01726, 2018
2652018
Subspace interpolation via dictionary learning for unsupervised domain adaptation
J Ni, Q Qiu, R Chellappa
Proceedings of the IEEE conference on computer vision and pattern …, 2013
2132013
Sparse dictionary-based representation and recognition of action attributes
Q Qiu, Z Jiang, R Chellappa
2011 international conference on computer vision, 707-714, 2011
1862011
Soft proposal networks for weakly supervised object localization
Y Zhu, Y Zhou, Q Ye, Q Qiu, J Jiao
Proceedings of the IEEE international conference on computer vision, 1841-1850, 2017
1732017
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Y Du, J Xu, H Xiong, Q Qiu, X Zhen, CGM Snoek, L Shao
ECCV 2020. arXiv preprint arXiv:2007.07645, 2020
1682020
Not afraid of the dark: Nir-vis face recognition via cross-spectral hallucination and low-rank embedding
J Lezama, Q Qiu, G Sapiro
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1682017
Domain adaptive dictionary learning
Q Qiu, VM Patel, P Turaga, R Chellappa
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
1522012
Computer vision analysis captures atypical attention in toddlers with autism
K Campbell, KLH Carpenter, J Hashemi, S Espinosa, S Marsan, JS Borg, ...
Autism 23 (3), 619-628, 2019
1202019
Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study
HL Egger, G Dawson, J Hashemi, KLH Carpenter, S Espinosa, ...
Nature Digital Medicine 1 (1), 20, 2018
1112018
Structure-Preserving Sparse Decomposition for Expression Analysis
S Taheri, Q Qiu, R Chellappa
Transactions on Image Processing 23 (8), 3590 - 3603, 2014
99*2014
Ole: Orthogonal low-rank embedding-a plug and play geometric loss for deep learning
J Lezama, Q Qiu, P Musé, G Sapiro
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
912018
Learning transformations for clustering and classification
Q Qiu, G Sapiro
Journal of Machine Learning Research 16 (Feb), 187−225, 2015
902015
Shared storage network system and a method for operating a shared storage network system
Q Qiu, J Biswas
US Patent 7,797,393, 2010
882010
DCFNet: Deep Neural Network with Decomposed Convolutional Filters
Q Qiu, X Cheng, R Calderbank, G Sapiro
International Conference on Machine Learning, ICML 2018, 2018
822018
Computer vision analysis for quantification of autism risk behaviors
J Hashemi, G Dawson, KLH Carpenter, K Campbell, Q Qiu, S Espinosa, ...
IEEE Transactions on Affective Computing 12 (1), 215-226, 2021
802021
Use of a digital modified checklist for autism in toddlers–revised with follow-up to improve quality of screening for autism
K Campbell, KLH Carpenter, S Espinosa, J Hashemi, Q Qiu, M Tepper, ...
The Journal of pediatrics 183, 133-139. e1, 2017
802017
Adversarially learned representations for information obfuscation and inference
M Bertran, N Martinez, A Papadaki, Q Qiu, M Rodrigues, G Reeves, ...
International Conference on Machine Learning, 614-623, 2019
742019
Information-theoretic dictionary learning for image classification
Q Qiu, V Patel, R Chellappa
IEEE Transaction on Pattern Analysis and Machine Intelligence 36 (11), 2173-2184, 2014
742014
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