Andrew Howard, Mark Sandler, Grace Chu,Liang-Chieh Chen, Bo Chen,Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang,Vijay Vasudevan,Quoc V. Le, Hartwig Adam

CoRR, (2019)

EIBibtex

SPGNet: Semantic Prediction Guidance for Scene Parsing.

Bowen Cheng,Liang-Chieh Chen,Yunchao Wei, Yukun Zhu, Zilong Huang,Jinjun Xiong,Thomas S. Huang,Wen-Mei Hwu, Honghui Shi

2990032492, pp.5218-5228, (2019)

Bibtex

Searching for MobileNetV3.

Andrew Howard, Ruoming Pang,Hartwig Adam,Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang,Liang-Chieh Chen,Mingxing Tan, Grace Chu,Vijay Vasudevan, Yukun Zhu

ICCV, pp.1314-1324, (2019)

EIBibtex

SegSort - Segmentation by Discriminative Sorting of Segments.

Jyh-Jing Hwang,Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang,Liang-Chieh Chen

ICCV, pp.7333-7343, (2019)

EIBibtex

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

Liang-Chieh Chen,George Papandreou,Iasonas Kokkinos,Kevin Murphy 0002,Alan L. Yuille

IEEE Trans. Pattern Anal. Mach. Intell., no. 4 (2018)

Cited by2429EIWOSBibtex

MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features.

Liang-Chieh Chen,Alexander Hermans,George Papandreou,Florian Schroff,Peng Wang,Hartwig Adam

computer vision and pattern recognition, (2018)

Cited by37EIBibtex

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

Liang-Chieh Chen, Yukun Zhu,George Papandreou,Florian Schroff,Hartwig Adam

ECCV, (2018): 833-851

Cited by797EIBibtex

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model.

George Papandreou,Tyler Zhu,Liang-Chieh Chen, Spyros Gidaris,Jonathan Tompson,Kevin Murphy

ECCV, (2018): 282-299

Cited by10EIBibtex

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction.

Liang-Chieh Chen,Maxwell D. Collins, Yukun Zhu,George Papandreou, Barret Zoph,Florian Schroff,Hartwig Adam,Jonathon Shlens

NeurIPS, (2018)

Cited by30EIBibtex

MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Mark Sandler, Andrew G. Howard, Menglong Zhu,Andrey Zhmoginov,Liang-Chieh Chen

CVPR, pp.4510-4520, (2018)

Cited by720EIBibtex

Rethinking Atrous Convolution for Semantic Image Segmentation.

Liang-Chieh Chen,George Papandreou,Florian Schroff,Hartwig Adam

arXiv: Computer Vision and Pattern Recognition, (2017)

Cited by150EIBibtex

The Devil is in the Decoder.

Zbigniew Wojna,Vittorio Ferrari,Sergio Guadarrama,Nathan Silberman,Liang-Chieh Chen, Alireza Fathi,Jasper R. R. Uijlings

BMVC, (2017)

Cited by25EIBibtex

Attention to Scale: Scale-aware Semantic Image Segmentation

Liang-Chieh Chen,Yi Yang,Jiang Wang,Wei Xu,Alan Loddon Yuille

computer vision and pattern recognition, (2016)

Cited by515EIBibtex

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform.

Liang-Chieh Chen,Jonathan T. Barron,George Papandreou,Kevin Murphy 0002,Alan Loddon Yuille

computer vision and pattern recognition, (2016)

Cited by179EIBibtex

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net.

Fangting Xia, Peng Wang,Liang-Chieh Chen,Alan L. Yuille

ECCV, pp.648-663, (2016)

Cited by53EIBibtex

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation.

George Papandreou,Liang-Chieh Chen,Kevin Murphy,Alan L. Yuille

CoRR, (2015)

Cited by349EIBibtex

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.

Liang-Chieh Chen,George Papandreou,Iasonas Kokkinos,Kevin Murphy,Alan Loddon Yuille

international conference on learning representations, (2015)

Cited by2307EIBibtex

Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net

Fangting Xia,Peng Wang,Liangchieh Chen,Alan Yuille

CoRR, (2015)

Cited by13EIBibtex

ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering

Kan Chen,Jiang Wang,Liangchieh Chen, Haoyuan Gao,Wei Xu,Ram Nevatia

CoRR, (2015)

Cited by92EIBibtex

Learning Deep Structured Models.

Liang-Chieh Chen,Alexander G. Schwing,Alan L. Yuille,Raquel Urtasun

international conference on machine learning, (2015): 1785-1794

Cited by165EIBibtex

Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation

George Papandreou,Liang-Chieh Chen,Kevin P. Murphy,Alan L. Yuille

ICCV '15 Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), pp.1742-1750, (2015)

Cited by593EIBibtex

Modeling Image Patches with a Generic Dictionary of Mini-epitomes

George Papandreou,Liang-Chieh Chen,Alan L. Yuille

Computer Vision and Pattern Recognition, (2014): 2059-2066

Cited by14EIWOSBibtex

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling

Liang-Chieh Chen,George Papandreou,Alan L. Yuille

ICCV, (2013): 337-344

Cited by15EIWOSBibtex

Prediction-based outlier detection with explanations

Liang-Chieh Chen,Tsung-Ting Kuo,Wei-Chi Lai,Shou-De Lin,Chi-Hung Tsai

GrC, pp.44-49, (2012)

EIWOSBibtex

Unsupervised Feature Selection: Minimize Information Redundancy of Features

Chun-Chao Yen,Liang-Chieh Chen,Shou-De Lin

Technologies and Applications of Artificial Intelligence, pp.247-254E, (2010)

Cited by3EIWOSBibtex

View All

Base Info Papers Patents Projects