Liang-Chieh (Jay) Chen
Liang-Chieh (Jay) Chen
Research Scientist, Google LA
Verifierad e-postadress på cs.ucla.edu - Startsida
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille
IEEE transactions on pattern analysis and machine intelligence 40 (4), 834-848, 2018
75742018
Mobilenetv2: Inverted residuals and linear bottlenecks
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
44732018
Encoder-decoder with atrous separable convolution for semantic image segmentation
LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam
Proceedings of the European conference on computer vision (ECCV), 801-818, 2018
33482018
Semantic image segmentation with deep convolutional nets and fully connected crfs
LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille
arXiv preprint arXiv:1412.7062, 2014
32482014
Rethinking atrous convolution for semantic image segmentation
LC Chen, G Papandreou, F Schroff, H Adam
arXiv preprint arXiv:1706.05587, 2017
26982017
Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation
G Papandreou, LC Chen, KP Murphy, AL Yuille
Proceedings of the IEEE international conference on computer vision, 1742-1750, 2015
9432015
Attention to scale: Scale-aware semantic image segmentation
LC Chen, Y Yang, J Wang, W Xu, AL Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2016
8652016
Searching for mobilenetv3
A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
7112019
Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation
A Howard, A Zhmoginov, LC Chen, M Sandler, M Zhu
4692018
Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
C Liu, LC Chen, F Schroff, H Adam, W Hua, AL Yuille, L Fei-Fei
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4322019
Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform
LC Chen, JT Barron, G Papandreou, K Murphy, AL Yuille
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2712016
Learning deep structured models
LC Chen, A Schwing, A Yuille, R Urtasun
International Conference on Machine Learning, 1785-1794, 2015
2572015
Abc-cnn: An attention based convolutional neural network for visual question answering
K Chen, J Wang, LC Chen, H Gao, W Xu, R Nevatia
arXiv preprint arXiv:1511.05960, 2015
2402015
Searching for efficient multi-scale architectures for dense image prediction
LC Chen, MD Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ...
arXiv preprint arXiv:1809.04184, 2018
2202018
Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model
G Papandreou, T Zhu, LC Chen, S Gidaris, J Tompson, K Murphy
Proceedings of the European Conference on Computer Vision (ECCV), 269-286, 2018
2142018
Masklab: Instance segmentation by refining object detection with semantic and direction features
LC Chen, A Hermans, G Papandreou, F Schroff, P Wang, H Adam
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1932018
Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net
F Xia, P Wang, LC Chen, AL Yuille
European Conference on Computer Vision, 648-663, 2016
154*2016
Feelvos: Fast end-to-end embedding learning for video object segmentation
P Voigtlaender, Y Chai, F Schroff, H Adam, B Leibe, LC Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1202019
Beat the mturkers: Automatic image labeling from weak 3d supervision
LC Chen, S Fidler, AL Yuille, R Urtasun
Proceedings of the IEEE conference on computer vision and pattern …, 2014
812014
Deeperlab: Single-shot image parser
TJ Yang, MD Collins, Y Zhu, JJ Hwang, T Liu, X Zhang, V Sze, ...
arXiv preprint arXiv:1902.05093, 2019
702019
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