메뉴 건너뛰기




Volumn , Issue , 2007, Pages

Hierarchical semantics of objects (hSOs)

Author keywords

[No Author keywords available]

Indexed keywords

INTERNATIONAL CONFERENCES; SCENE REPRESENTATION;

EID: 50649092623     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408960     Document Type: Conference Paper
Times cited : (23)

References (39)
  • 1
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T.Hofmann. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 2001.
    • (2001) Machine Learning
    • Hofmann, T.1
  • 3
    • 33745155436 scopus 로고    scopus 로고
    • A bayesian hierarchical model for learning natural scene categories
    • L.Fei-Fei, P.Perona. A bayesian hierarchical model for learning natural scene categories. CVPR, 2005.
    • (2005) CVPR
    • Fei-Fei, L.1    Perona, P.2
  • 5
    • 33745132440 scopus 로고    scopus 로고
    • Hierarchical part-based visual object categorization
    • G.Bouchard, W.Triggs. Hierarchical part-based visual object categorization. CVPR, 2005.
    • (2005) CVPR
    • Bouchard, G.1    Triggs, W.2
  • 6
    • 33845586499 scopus 로고    scopus 로고
    • Hierarchical statistical learning of generic parts of object structure
    • S.Fidler, G.Berginc, A.Leonardis. Hierarchical statistical learning of generic parts of object structure. CVPR, 2006.
    • (2006) CVPR
    • Fidler, S.1    Berginc, G.2    Leonardis, A.3
  • 8
    • 0018275277 scopus 로고
    • Representation and recognition of the spatial organization of three dimensional structure
    • D.Marr, H.Nishihara. Representation and recognition of the spatial organization of three dimensional structure. Proceedings of the Royal Society of London B, 1978.
    • (1978) Proceedings of the Royal Society of London B
    • Marr, D.1    Nishihara, H.2
  • 10
    • 84898937050 scopus 로고    scopus 로고
    • Compositionality, MDL priors, and object recognition
    • E.Bienenstock, S.Geman, D.Potter. Compositionality, MDL priors, and object recognition. NIPS, 1997.
    • (1997) NIPS
    • Bienenstock, E.1    Geman, S.2    Potter, D.3
  • 11
    • 33745918022 scopus 로고    scopus 로고
    • Learning hierarchical models of scenes, objects, and parts
    • E.Sudderth, A.Torralba, W.Freeman, A.Wilsky. Learning hierarchical models of scenes, objects, and parts. ICCV, 2005.
    • (2005) ICCV
    • Sudderth, E.1    Torralba, A.2    Freeman, W.3    Wilsky, A.4
  • 12
    • 33845591067 scopus 로고    scopus 로고
    • Using dependent regions for object categorization in a generative framework
    • G.Wang, Y.Zhang, L.Fei-Fei. Using dependent regions for object categorization in a generative framework. CVPR, 2006.
    • (2006) CVPR
    • Wang, G.1    Zhang, Y.2    Fei-Fei, L.3
  • 13
    • 33845568397 scopus 로고    scopus 로고
    • Context and hierarchy in a probabilistic image model
    • Y.Jin, S.Geman. Context and hierarchy in a probabilistic image model. CVPR, 2006.
    • (2006) CVPR
    • Jin, Y.1    Geman, S.2
  • 14
    • 34948892582 scopus 로고    scopus 로고
    • Spatial random tree grammars for modeling hierarchal structure in images with regions of arbitrary shape
    • to appear
    • J.Siskind, J.Sherman, I.Pollak, M.Harper, C.Bouman. Spatial random tree grammars for modeling hierarchal structure in images with regions of arbitrary shape. PAMI, to appear.
    • PAMI
    • Siskind, J.1    Sherman, J.2    Pollak, I.3    Harper, M.4    Bouman, C.5
  • 15
    • 0028132373 scopus 로고
    • Using global consistency to recognise euclidean objects with an uncalibrated camera
    • D.Forsyth, J.Mundy, A.Zisserman, C.Rothwell. Using global consistency to recognise euclidean objects with an uncalibrated camera. CVPR, 1994.
    • (1994) CVPR
    • Forsyth, D.1    Mundy, J.2    Zisserman, A.3    Rothwell, C.4
  • 16
    • 0036709043 scopus 로고    scopus 로고
    • Depth estimation from image structure
    • A.Torralba, A.Oliva. Depth estimation from image structure. PAMI, 2002.
    • (2002) PAMI
    • Torralba, A.1    Oliva, A.2
  • 17
    • 0034844739 scopus 로고    scopus 로고
    • Statistical context priming for object detection
    • A.Torralba, P.Sinha. Statistical context priming for object detection. ICCV, 2001.
    • (2001) ICCV
    • Torralba, A.1    Sinha, P.2
  • 19
    • 0042349409 scopus 로고    scopus 로고
    • Image modelling with position encoding dynamic trees
    • A.Storkey, C.Williams. Image modelling with position encoding dynamic trees. PAMI, 2003.
    • (2003) PAMI
    • Storkey, A.1    Williams, C.2
  • 22
    • 17444392134 scopus 로고    scopus 로고
    • Image parsing: Unifying segmentation, detection, and recognition
    • Z.Tu, X.Chen, A.Yuille, S.Zhu. Image parsing: unifying segmentation, detection, and recognition. IJCV, 2005.
    • (2005) IJCV
    • Tu, Z.1    Chen, X.2    Yuille, A.3    Zhu, S.4
  • 23
    • 24644462948 scopus 로고    scopus 로고
    • Using the forest to see the trees: A graphical model relating features, objects, and scenes
    • K.Murphy, A.Torralba, W.Freeman. Using the forest to see the trees: a graphical model relating features, objects, and scenes. NIPS. 2003.
    • (2003) NIPS
    • Murphy, K.1    Torralba, A.2    Freeman, W.3
  • 24
    • 5044223520 scopus 로고    scopus 로고
    • Multiscale conditional random fields for image labeling
    • X.He, R.Zemel, M.Carreira-Perpinan. Multiscale conditional random fields for image labeling. CVPR, 2004.
    • (2004) CVPR
    • He, X.1    Zemel, R.2    Carreira-Perpinan, M.3
  • 25
    • 33745848658 scopus 로고    scopus 로고
    • A hierarchical field framework for unified context-based classification
    • S.Kumar, M.Hebert. A hierarchical field framework for unified context-based classification. ICCV, 2005.
    • (2005) ICCV
    • Kumar, S.1    Hebert, M.2
  • 27
    • 84899024607 scopus 로고    scopus 로고
    • Contextual models for object detection using boosted random fields
    • A.Torralba, K.Murphy, W.Freeman. Contextual models for object detection using boosted random fields. NIPS, 2005.
    • (2005) NIPS
    • Torralba, A.1    Murphy, K.2    Freeman, W.3
  • 28
    • 34948830130 scopus 로고    scopus 로고
    • Semantic hierarchies for visual object recognition
    • M.Marszałek, C.Schmid. Semantic hierarchies for visual object recognition. CVPR, 2007.
    • (2007) CVPR
    • Marszałek, M.1    Schmid, C.2
  • 29
    • 18344412139 scopus 로고    scopus 로고
    • Probabilistic spatial context models for scene content understanding
    • A.Singhal, J.Luo, W.Zhu. Probabilistic spatial context models for scene content understanding. CVPR, 2003.
    • (2003) CVPR
    • Singhal, A.1    Luo, J.2    Zhu, W.3
  • 30
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • A.Oliva, A.Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. IJCV, 2001.
    • (2001) IJCV
    • Oliva, A.1    Torralba, A.2
  • 32
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D.Lowe. Distinctive image features from scale-invariant keypoints. IJCV,2004.
    • (2004) IJCV
    • Lowe, D.1
  • 33
    • 0003916202 scopus 로고    scopus 로고
    • Shape context: A new descriptor for shape matching and object recognition
    • S.Belongie, J.Malik, J.Puzicha. Shape context: a new descriptor for shape matching and object recognition. NIPS, 2000.
    • (2000) NIPS
    • Belongie, S.1    Malik, J.2    Puzicha, J.3
  • 34
    • 0035686784 scopus 로고    scopus 로고
    • Geometric blur for template matching
    • A.Berg, J.Malik. Geometric blur for template matching. CVPR, 2001.
    • (2001) CVPR
    • Berg, A.1    Malik, J.2
  • 35
    • 33745886518 scopus 로고    scopus 로고
    • A spectral technique for correspondence problems using pairwise constraints
    • M.Leordeanu and M.Hebert. A spectral technique for correspondence problems using pairwise constraints. ICCV, 2005.
    • (2005) ICCV
    • Leordeanu, M.1    Hebert, M.2
  • 36
    • 0002409979 scopus 로고    scopus 로고
    • Unsupervised learning of models for recognition
    • M.Weber, M.Welling, P.Perona. Unsupervised learning of models for recognition. ECCV, 2000.
    • (2000) ECCV
    • Weber, M.1    Welling, M.2    Perona, P.3
  • 37
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • J.Shi, J.Malik. Normalized cuts and image segmentation. PAMI, 2000
    • (2000) PAMI
    • Shi, J.1    Malik, J.2
  • 38
    • 50649091483 scopus 로고    scopus 로고
    • J.Shi. http://www.cis.upenn.edu/ jshi/software/
    • J.Shi
  • 39
    • 34948837234 scopus 로고    scopus 로고
    • ImageGrouper: Search, annotate and organize image by groups
    • M.Nakazato, L.Manola, T.Huang, ImageGrouper: search, annotate and organize image by groups. VISual, 2002.
    • (2002) VISual
    • Nakazato, M.1    Manola, L.2    Huang, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.