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Jun Liu | Xue-cheng Tai | Xiangyue Wang | Jun Liu | Xiang Wang | X. Tai
[1] Tony F. Chan,et al. Active contours without edges , 2001, IEEE Trans. Image Process..
[2] Marco Cuturi,et al. Sinkhorn Distances: Lightspeed Computation of Optimal Transport , 2013, NIPS.
[3] Yi Zhang,et al. PSANet: Point-wise Spatial Attention Network for Scene Parsing , 2018, ECCV.
[4] Lei Zhou,et al. Adaptive Pyramid Context Network for Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[6] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[7] R. B. Potts. Some generalized order-disorder transformations , 1952, Mathematical Proceedings of the Cambridge Philosophical Society.
[8] Yizhou Yu,et al. FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation , 2019, ArXiv.
[9] Antonin Chambolle,et al. Total Variation Minimization and a Class of Binary MRF Models , 2005, EMMCVPR.
[10] Noel C. F. Codella,et al. Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC) , 2016, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).
[11] Jun Liu,et al. A Regularized Convolutional Neural Network for Semantic Image Segmentation , 2019, Analysis and Applications.
[12] Xue-Cheng Tai,et al. Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach , 2011, International Journal of Computer Vision.
[13] Luc Van Gool,et al. Semantic Instance Segmentation with a Discriminative Loss Function , 2017, ArXiv.
[14] S. Esedoglu,et al. Threshold dynamics for the piecewise constant Mumford-Shah functional , 2006 .
[15] Philip H. S. Torr,et al. Higher Order Conditional Random Fields in Deep Neural Networks , 2015, ECCV.
[16] Steven J. Ruuth. Efficient Algorithms for Diffusion-Generated Motion by Mean Curvature , 1998 .
[17] Steven J. Ruuth,et al. Convolution-Generated Motion and Generalized Huygens' Principles for Interface Motion , 2000, SIAM J. Appl. Math..
[18] Xue-Cheng Tai,et al. A study on continuous max-flow and min-cut approaches , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[19] Ruigang Niu,et al. Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images , 2021, IEEE Transactions on Geoscience and Remote Sensing.
[20] Yu Qiao,et al. Dynamic Multi-Scale Filters for Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[21] Hong Liu,et al. Expectation-Maximization Attention Networks for Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[22] Sanja Fidler,et al. Gated-SCNN: Gated Shape CNNs for Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[23] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Xue-Cheng Tai,et al. A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation , 2011, Pattern Recognit..
[25] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Michael K. Ng,et al. A Fast Total Variation Minimization Method for Image Restoration , 2008, Multiscale Model. Simul..
[27] 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.
[28] A. Bertozzi,et al. Mean Curvature, Threshold Dynamics, and Phase Field Theory on Finite Graphs , 2013, 1307.0045.
[29] Yufeng Wang,et al. ERN: Edge Loss Reinforced Semantic Segmentation Network for Remote Sensing Images , 2018, Remote. Sens..
[30] J. Lorenz,et al. On the scaling of multidimensional matrices , 1989 .
[31] Haifeng Li,et al. Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning , 2020, J. Vis. Commun. Image Represent..
[32] Steven J. Ruuth,et al. A Simple Scheme for Volume-Preserving Motion by Mean Curvature , 2003, J. Sci. Comput..
[33] Xue-Cheng Tai,et al. A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise , 2013, IEEE Transactions on Image Processing.
[34] Selim Esedoglu,et al. Auction dynamics: A volume constrained MBO scheme , 2018, J. Comput. Phys..
[35] Yuan Xie,et al. Instance-Level Salient Object Segmentation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[37] Charless C. Fowlkes,et al. Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation , 2016, ECCV.
[38] Tom Goldstein,et al. The Split Bregman Method for L1-Regularized Problems , 2009, SIAM J. Imaging Sci..
[39] 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).
[40] L. Evans. Convergence of an algorithm for mean curvature motion , 1993 .
[41] Xue-Cheng Tai,et al. Image Segmentation Using Some Piecewise Constant Level Set Methods with MBO Type of Projection , 2007, International Journal of Computer Vision.
[42] Dieter Fox,et al. DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks , 2017, Robotics: Science and Systems.
[43] Gabriel Peyré,et al. A Smoothed Dual Approach for Variational Wasserstein Problems , 2015, SIAM J. Imaging Sci..
[44] Qingjie Liu,et al. Road Extraction by Deep Residual U-Net , 2017, IEEE Geoscience and Remote Sensing Letters.
[45] Lisa Tang,et al. Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation , 2016, IEEE Transactions on Medical Imaging.
[46] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[47] Felix Otto,et al. Threshold Dynamics for Networks with Arbitrary Surface Tensions , 2015 .
[48] Nima Tajbakhsh,et al. UNet++: A Nested U-Net Architecture for Medical Image Segmentation , 2018, DLMIA/ML-CDS@MICCAI.
[49] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Yoshua Bengio,et al. ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[51] Gang Wang,et al. Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[52] Andrea L. Bertozzi,et al. An MBO Scheme on Graphs for Classification and Image Processing , 2013, SIAM J. Imaging Sci..
[53] Junfeng Yang,et al. A New Alternating Minimization Algorithm for Total Variation Image Reconstruction , 2008, SIAM J. Imaging Sci..
[54] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[55] S. Osher,et al. Motion of multiple junctions: a level set approach , 1994 .
[56] Mário A. T. Figueiredo,et al. Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation , 2018, ArXiv.
[57] Olga Veksler,et al. Star Shape Prior for Graph-Cut Image Segmentation , 2008, ECCV.
[58] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[59] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[60] Dani Lischinski,et al. Multi-scale Context Intertwining for Semantic Segmentation , 2018, ECCV.
[61] Xavier Bresson,et al. Fast Global Minimization of the Active Contour/Snake Model , 2007, Journal of Mathematical Imaging and Vision.
[62] Haohan Li,et al. An efficient iterative thresholding method for image segmentation , 2016, J. Comput. Phys..
[63] Xiaoxiao Li,et al. Semantic Image Segmentation via Deep Parsing Network , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[64] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[65] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[66] Harald Kittler,et al. Descriptor : The HAM 10000 dataset , a large collection of multi-source dermatoscopic images of common pigmented skin lesions , 2018 .
[67] D. Pallara,et al. Short-time heat flow and functions of bounded variation in RN , 2005 .
[68] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[69] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[70] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[71] Yunchao Wei,et al. CCNet: Criss-Cross Attention for Semantic Segmentation , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[72] Guosheng Lin,et al. Exploring Context with Deep Structured Models for Semantic Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[73] Dong Wang,et al. The iterative convolution-thresholding method (ICTM) for image segmentation , 2019, Pattern Recognit..
[74] Andrew Blake,et al. "GrabCut" , 2004, ACM Trans. Graph..
[75] Seyed-Ahmad Ahmadi,et al. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation , 2016, 2016 Fourth International Conference on 3D Vision (3DV).