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Greg Mori | Hexiang Hu | Zhiwei Deng | Fei Sha | Guang-Tong Zhou | Fei Sha | Greg Mori | Hexiang Hu | Guang-Tong Zhou | Zhiwei Deng
[1] R. Nevatia,et al. Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Jian Sun,et al. Convolutional feature masking for joint object and stuff segmentation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Antonio Torralba,et al. Nonparametric Scene Parsing via Label Transfer , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Bolei Zhou,et al. Semantic Understanding of Scenes Through the ADE20K Dataset , 2016, International Journal of Computer Vision.
[5] Jitendra Malik,et al. Contextual Action Recognition with R*CNN , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[6] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[7] Ronan Collobert,et al. Recurrent Convolutional Neural Networks for Scene Labeling , 2014, ICML.
[8] Jason J. Corso,et al. Action bank: A high-level representation of activity in video , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Vladlen Koltun,et al. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials , 2011, NIPS.
[10] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[11] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[13] Guosheng Lin,et al. Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[15] Sanja Fidler,et al. The Role of Context for Object Detection and Semantic Segmentation in the Wild , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[17] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[18] Greg Mori,et al. Learning Structured Inference Neural Networks with Label Relations , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[20] Philip H. S. Torr,et al. Higher Order Conditional Random Fields in Deep Neural Networks , 2015, ECCV.
[21] Wei Liu,et al. ParseNet: Looking Wider to See Better , 2015, ArXiv.
[22] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Mohamed R. Amer,et al. Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition , 2012, ECCV.
[25] Svetlana Lazebnik,et al. Finding Things: Image Parsing with Regions and Per-Exemplar Detectors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[27] Hao Su,et al. Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification , 2010, NIPS.
[28] Camille Couprie,et al. Learning Hierarchical Features for Scene Labeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[30] Silvio Savarese,et al. Structural-RNN: Deep Learning on Spatio-Temporal Graphs , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Jitendra Malik,et al. Learning Rich Features from RGB-D Images for Object Detection and Segmentation , 2014, ECCV.
[32] Samy Bengio,et al. Large-Scale Object Classification Using Label Relation Graphs , 2014, ECCV.
[33] Andrew Zisserman,et al. OBJ CUT , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[34] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Jian Sun,et al. Instance-Aware Semantic Segmentation via Multi-task Network Cascades , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Vittorio Ferrari,et al. COCO-Stuff: Thing and Stuff Classes in Context , 2016, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[38] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[39] Miguel Á. Carreira-Perpiñán,et al. Multiscale conditional random fields for image labeling , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[40] Antonio Torralba,et al. SIFT Flow: Dense Correspondence across Scenes and Its Applications , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Jitendra Malik,et al. Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[42] Jian Sun,et al. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).