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Volumn , Issue , 2018, Pages 6144-6153

SeGAN: Segmenting and Generating the Invisible

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE SEGMENTATION; PAINT;

EID: 85062835130     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2018.00643     Document Type: Conference Paper
Times cited : (187)

References (55)
  • 1
    • 0036769103 scopus 로고    scopus 로고
    • Developments in young infants' reasoning about occluded objects
    • A. Aguiar and R. Baillargeon. Developments in young infants' reasoning about occluded objects. Cognitive psychology, 2002.
    • (2002) Cognitive Psychology
    • Aguiar, A.1    Baillargeon, R.2
  • 3
    • 84986244054 scopus 로고    scopus 로고
    • Attention to scale: Scale-Aware semantic image segmentation
    • L.-C. Chen, Y. Yang, J. Wang, W. Xu, and A. L. Yuille. Attention to scale: Scale-Aware semantic image segmentation. In CVPR, 2016.
    • (2016) CVPR
    • Chen, L.-C.1    Yang, Y.2    Wang, J.3    Xu, W.4    Yuille, A.L.5
  • 4
    • 85039423419 scopus 로고    scopus 로고
    • Photographic image synthesis with cascaded refinement networks
    • Q. Chen and V. Koltun. Photographic image synthesis with cascaded refinement networks. In ICCV, 2017.
    • (2017) ICCV
    • Chen, Q.1    Koltun, V.2
  • 5
    • 84959224495 scopus 로고    scopus 로고
    • Multi-instance object segmentation with occlusion handling
    • Y.-T. Chen, X. Liu, and M.-H. Yang. Multi-instance object segmentation with occlusion handling. In CVPR, 2015.
    • (2015) CVPR
    • Chen, Y.-T.1    Liu, X.2    Yang, M.-H.3
  • 6
    • 85041931014 scopus 로고    scopus 로고
    • Instance-sensitive fully convolutional networks
    • J. Dai, K. He, Y. Li, S. Ren, and J. Sun. Instance-sensitive fully convolutional networks. In ECCV, 2016.
    • (2016) ECCV
    • Dai, J.1    He, K.2    Li, Y.3    Ren, S.4    Sun, J.5
  • 7
    • 84973890848 scopus 로고    scopus 로고
    • Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
    • J. Dai, K. He, and J. Sun. Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation. In ICCV, 2015.
    • (2015) ICCV
    • Dai, J.1    He, K.2    Sun, J.3
  • 8
    • 84986282070 scopus 로고    scopus 로고
    • Instance-Aware semantic segmentation via multi-Task network cascades
    • J. Dai, K. He, and J. Sun. Instance-Aware semantic segmentation via multi-Task network cascades. In CVPR, 2016.
    • (2016) CVPR
    • Dai, J.1    He, K.2    Sun, J.3
  • 10
    • 84973897611 scopus 로고    scopus 로고
    • Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
    • D. Eigen and R. Fergus. Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture. In ICCV, 2015.
    • (2015) ICCV
    • Eigen, D.1    Fergus, R.2
  • 11
    • 80052880752 scopus 로고    scopus 로고
    • A segmentation-Aware object detection model with occlusion handling
    • T. Gao, B. Packer, and D. Koller. A segmentation-Aware object detection model with occlusion handling. In CVPR, 2011.
    • (2011) CVPR
    • Gao, T.1    Packer, B.2    Koller, D.3
  • 13
    • 85029359197 scopus 로고    scopus 로고
    • Fast R-CNN
    • R. Girshick. Fast R-CNN. In ICCV, 2015.
    • (2015) ICCV
    • Girshick, R.1
  • 14
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014.
    • (2014) CVPR
    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 16
    • 84887383675 scopus 로고    scopus 로고
    • Beyond the line of sight: Labeling the underlying surfaces
    • R. Guo and D. Hoiem. Beyond the line of sight: Labeling the underlying surfaces. In ECCV, 2012.
    • (2012) ECCV
    • Guo, R.1    Hoiem, D.2
  • 18
    • 84928278589 scopus 로고    scopus 로고
    • Spatial pyramid pooling in deep convolutional networks for visual recognition
    • K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV, 2014.
    • (2014) ECCV
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 19
    • 84986274465 scopus 로고    scopus 로고
    • Deep residual learning for image recognition
    • K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In CVPR, 2016.
    • (2016) CVPR
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 20
    • 84866685941 scopus 로고    scopus 로고
    • Occlusion reasoning for object detection under arbitrary viewpoint
    • E. Hsiao and M. Hebert. Occlusion reasoning for object detection under arbitrary viewpoint. In CVPR, 2012.
    • (2012) CVPR
    • Hsiao, E.1    Hebert, M.2
  • 21
    • 84898828634 scopus 로고    scopus 로고
    • Scene collaging: Analysis and synthesis of natural images with semantic layers
    • P. Isola and C. Liu. Scene collaging: Analysis and synthesis of natural images with semantic layers. In ICCV, 2013.
    • (2013) ICCV
    • Isola, P.1    Liu, C.2
  • 22
    • 85030759098 scopus 로고    scopus 로고
    • Image-To-image translation with conditional adversarial networks
    • P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros. Image-To-image translation with conditional adversarial networks. In CVPR, 2017.
    • (2017) CVPR
    • Isola, P.1    Zhu, J.-Y.2    Zhou, T.3    Efros, A.A.4
  • 23
    • 84973915370 scopus 로고    scopus 로고
    • Amodal completion and size constancy in natural scenes
    • A. Kar, S. Tulsiani, J. Carreira, and J. Malik. Amodal completion and size constancy in natural scenes. In ICCV, 2015.
    • (2015) ICCV
    • Kar, A.1    Tulsiani, S.2    Carreira, J.3    Malik, J.4
  • 24
  • 25
    • 85018887662 scopus 로고    scopus 로고
    • Precomputed real-Time texture synthesis with markovian generative adversarial networks
    • C. Li and M.Wand. Precomputed real-Time texture synthesis with markovian generative adversarial networks. In ECCV, 2016.
    • (2016) ECCV
    • Li, C.1    Wand, M.2
  • 26
    • 84986322564 scopus 로고    scopus 로고
    • Iterative instance segmentation
    • K. Li, B. Hariharan, and J. Malik. Iterative instance segmentation. In CVPR, 2016.
    • (2016) CVPR
    • Li, K.1    Hariharan, B.2    Malik, J.3
  • 27
    • 85044275810 scopus 로고    scopus 로고
    • Amodal instance segmentation
    • K. Li and J. Malik. Amodal instance segmentation. In ECCV, 2016.
    • (2016) ECCV
    • Li, K.1    Malik, J.2
  • 28
    • 84986261676 scopus 로고    scopus 로고
    • Efficient piecewise training of deep structured models for semantic segmentation
    • G. Lin, C. Shen, , and I. Van den Hengel, Anton Reid. Efficient piecewise training of deep structured models for semantic segmentation. In CVPR, 2016.
    • (2016) CVPR
    • Lin, G.1    Shen, C.2    Hengel Den I.Van3    Reid, A.4
  • 30
    • 84973860883 scopus 로고    scopus 로고
    • Semantic image segmentation via deep parsing network
    • Z. Liu, X. Li, P. Luo, C.-C. Loy, and X. Tang. Semantic image segmentation via deep parsing network. In ICCV, 2015.
    • (2015) ICCV
    • Liu, Z.1    Li, X.2    Luo, P.3    Loy, C.-C.4    Tang, X.5
  • 31
    • 84959205572 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • J. Long, E. Shelhamer, and T. Darrell. Fully convolutional networks for semantic segmentation. In CVPR, 2015.
    • (2015) CVPR
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 32
    • 85083952137 scopus 로고    scopus 로고
    • Deep multi-scale video prediction beyond mean square error
    • M. Mathieu, C. Couprie, and Y. LeCun. Deep multi-scale video prediction beyond mean square error. In ICLR, 2016.
    • (2016) ICLR
    • Mathieu, M.1    Couprie, C.2    LeCun, Y.3
  • 35
    • 84973879016 scopus 로고    scopus 로고
    • Learning deconvolution network for semantic segmentation
    • H. Noh, S. Hong, and B. Han. Learning deconvolution network for semantic segmentation. In ICCV, 2015.
    • (2015) ICCV
    • Noh, H.1    Hong, S.2    Han, B.3
  • 36
    • 84965124068 scopus 로고    scopus 로고
    • Weakly-And semi-supervised learning of a dcnn for semantic image segmentation
    • G. Papandreou, L.-C. Chen, K. Murphy, and A. L. Yuille. Weakly-And semi-supervised learning of a dcnn for semantic image segmentation. In ICCV, 2015.
    • (2015) ICCV
    • Papandreou, G.1    Chen, L.-C.2    Murphy, K.3    Yuille, A.L.4
  • 38
    • 84887391806 scopus 로고    scopus 로고
    • Occlusion patterns for object class detection
    • B. Pepik, M. Stark, P. Gehler, and B. Schiele. Occlusion patterns for object class detection. In CVPR, 2013.
    • (2013) CVPR
    • Pepik, B.1    Stark, M.2    Gehler, P.3    Schiele, B.4
  • 41
    • 84986308404 scopus 로고    scopus 로고
    • You only look once: Unified, real-time object detection
    • J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. You only look once: Unified, real-time object detection. CVPR, 2016.
    • (2016) CVPR
    • Redmon, J.1    Divvala, S.2    Girshick, R.3    Farhadi, A.4
  • 42
    • 84960980241 scopus 로고    scopus 로고
    • Faster R-CNN: Towards real-Time object detection with region proposal networks
    • S. Ren, K. He, R. Girshick, and J. Sun. Faster R-CNN: Towards real-Time object detection with region proposal networks. In NIPS, 2015.
    • (2015) NIPS
    • Ren, S.1    He, K.2    Girshick, R.3    Sun, J.4
  • 44
    • 85062871023 scopus 로고    scopus 로고
    • Labelme3d: Building a database of 3d scenes from user annotations
    • B. C. Russell and A. Torralba. Labelme3d: Building a database of 3d scenes from user annotations. In CVPR, 2009.
    • (2009) CVPR
    • Russell, B.C.1    Torralba, A.2
  • 46
    • 84911399031 scopus 로고    scopus 로고
    • Scene parsing with object instances and occlusion ordering
    • J. Tighe, M. Niethammer, and S. Lazebnik. Scene parsing with object instances and occlusion ordering. In CVPR, 2014.
    • (2014) CVPR
    • Tighe, J.1    Niethammer, M.2    Lazebnik, S.3
  • 47
    • 33845597355 scopus 로고    scopus 로고
    • The layout consistent random field for recognizing and segmenting partially occluded objects
    • J. Winn and J. Shotton. The layout consistent random field for recognizing and segmenting partially occluded objects. In CVPR, 2006.
    • (2006) CVPR
    • Winn, J.1    Shotton, J.2
  • 48
    • 84904687911 scopus 로고    scopus 로고
    • Beyond pascal: A benchmark for 3d object detection in the wild
    • Y. Xiang, R. Mottaghi, and S. Savarese. Beyond pascal: A benchmark for 3d object detection in the wild. In WACV, 2014.
    • (2014) WACV
    • Xiang, Y.1    Mottaghi, R.2    Savarese, S.3
  • 52
    • 84986269578 scopus 로고    scopus 로고
    • Instance-level segmentation for autonomous driving with deep densely connected mrfs
    • Z. Zhang, S. Fidler, and R. Urtasun. Instance-level segmentation for autonomous driving with deep densely connected mrfs. In CVPR, 2016.
    • (2016) CVPR
    • Zhang, Z.1    Fidler, S.2    Urtasun, R.3
  • 54
    • 85028006260 scopus 로고    scopus 로고
    • Target-driven visual navigation in indoor scenes using deep reinforcement learning
    • Y. Zhu, R. Mottaghi, E. Kolve, J. J. Lim, A. Gupta, L. Fei-Fei, and A. Farhadi. Target-driven visual navigation in indoor scenes using deep reinforcement learning. In ICRA, 2017.
    • (2017) ICRA
    • Zhu, Y.1    Mottaghi, R.2    Kolve, E.3    Lim, J.J.4    Gupta, A.5    Fei-Fei, L.6    Farhadi, A.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.