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Liang-Chieh (Jay) Chen
Liang-Chieh (Jay) Chen
Otros nombresLiang-Chieh Chen
Research Scientist, ByteDance, LA
Dirección de correo verificada de cs.ucla.edu - Página principal
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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
177982018
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
171392018
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
120232018
Rethinking atrous convolution for semantic image segmentation
LC Chen, G Papandreou, F Schroff, H Adam
arXiv preprint arXiv:1706.05587, 2017
83512017
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
55462014
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
54332019
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
15002016
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
14312015
Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation
A Howard, A Zhmoginov, LC Chen, M Sandler, M Zhu
1076*2018
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
10472019
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
6212018
Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution
S Qiao, LC Chen, A Yuille
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
6162021
Axial-deeplab: Stand-alone axial-attention for panoptic segmentation
H Wang, Y Zhu, B Green, H Adam, A Yuille, LC Chen
European conference on computer vision, 108-126, 2020
5912020
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen
arXiv preprint arXiv:1911.10194, 2019
5072019
Searching for efficient multi-scale architectures for dense image prediction
LC Chen, M Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ...
Advances in neural information processing systems 31, 2018
4332018
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
4062018
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
3982016
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
3922019
Max-deeplab: End-to-end panoptic segmentation with mask transformers
H Wang, Y Zhu, H Adam, A Yuille, LC Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
3912021
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
3602015
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Artículos 1–20