메뉴 건너뛰기




Volumn 8693 LNCS, Issue PART 5, 2014, Pages 361-376

Training object class detectors from eye tracking data

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 84906496597     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10602-1_24     Document Type: Conference Paper
Times cited : (109)

References (52)
  • 4
    • 35048899665 scopus 로고    scopus 로고
    • Interactive image segmentation using an adaptive GMMRF model
    • Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. Springer, Heidelberg
    • Blake, A., Rother, C., Brown, M., Perez, P., Torr, P.: Interactive image segmentation using an adaptive GMMRF model. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 428-441. Springer, Heidelberg (2004)
    • (2004) LNCS , vol.3021 , pp. 428-441
    • Blake, A.1    Rother, C.2    Brown, M.3    Perez, P.4    Torr, P.5
  • 5
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    • Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. on PAMI 26(9), 1124-1137 (2004)
    • (2004) IEEE Trans. on PAMI , vol.26 , Issue.9 , pp. 1124-1137
    • Boykov, Y.1    Kolmogorov, V.2
  • 6
    • 0030612822 scopus 로고    scopus 로고
    • The Psychophysics Toolbox
    • Brainard, D.H.: The Psychophysics Toolbox. Spatial Vision 10, 433-436 (1997)
    • (1997) Spatial Vision , vol.10 , pp. 433-436
    • Brainard, D.H.1
  • 7
    • 34948855941 scopus 로고    scopus 로고
    • An exemplar model for learning object classes
    • Chum, O., Zisserman, A.: An exemplar model for learning object classes. In: CVPR (2007)
    • (2007) CVPR
    • Chum, O.1    Zisserman, A.2
  • 8
    • 33645146449 scopus 로고    scopus 로고
    • Histogram of Oriented Gradients for human detection
    • Dalal, N., Triggs, B.: Histogram of Oriented Gradients for human detection. In: CVPR (2005)
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 9
    • 84867062047 scopus 로고    scopus 로고
    • Weakly supervised localization and learning with generic knowledge
    • Deselaers, T., Alexe, B., Ferrari, V.:Weakly supervised localization and learning with generic knowledge. IJCV (2012)
    • (2012) IJCV
    • Deselaers, T.1    Alexe, B.2    Ferrari, V.3
  • 10
    • 77955989584 scopus 로고    scopus 로고
    • Global and efficient self-similarity for object classification and detection
    • Deselaers, T., Ferrari, V.: Global and efficient self-similarity for object classification and detection. In: CVPR (2010)
    • (2010) CVPR
    • Deselaers, T.1    Ferrari, V.2
  • 11
    • 84937572644 scopus 로고    scopus 로고
    • Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
    • Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002, Part IV. Springer, Heidelberg
    • Duygulu, P., Barnard, K., de Freitas, J.F.G., Forsyth, D.: Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002, Part IV. LNCS, vol. 2353, pp. 97-112. Springer, Heidelberg (2002)
    • (2002) LNCS , vol.2353 , pp. 97-112
    • Duygulu, P.1    Barnard, K.2    De Freitas, J.F.G.3    Forsyth, D.4
  • 12
    • 56849086466 scopus 로고    scopus 로고
    • Objects predict fixations better than early saliency
    • Einhäuser, W., Spain, M., Perona, P.: Objects predict fixations better than early saliency. Journal of Vision 8, 1-26 (2008)
    • (2008) Journal of Vision , vol.8 , pp. 1-26
    • Einhäuser, W.1    Spain, M.2    Perona, P.3
  • 16
    • 0041940256 scopus 로고    scopus 로고
    • Object class recognition by unsupervised scale-invariant learning
    • Fergus, R., Perona, P., Zisserman, A.: Object class recognition by unsupervised scale-invariant learning. In: CVPR (2003)
    • (2003) CVPR
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 17
    • 84866661767 scopus 로고    scopus 로고
    • Large-scale knowledge transfer for object localization in imagenet
    • Guillaumin, M., Ferrari, V.: Large-scale knowledge transfer for object localization in imagenet. In: CVPR (2012)
    • (2012) CVPR
    • Guillaumin, M.1    Ferrari, V.2
  • 19
    • 57149125139 scopus 로고    scopus 로고
    • Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers
    • Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. Springer, Heidelberg
    • Gupta, A., Davis, L.S.: Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 16-29. Springer, Heidelberg (2008)
    • (2008) LNCS , vol.5302 , pp. 16-29
    • Gupta, A.1    Davis, L.S.2
  • 20
    • 84875707366 scopus 로고    scopus 로고
    • Crowdsourcing annotations for visual object detection
    • Hao, S., Deng, J., Fei-Fei, L.: Crowdsourcing annotations for visual object detection. In: AAAI (2012)
    • (2012) AAAI
    • Hao, S.1    Deng, J.2    Fei-Fei, L.3
  • 21
    • 84864037603 scopus 로고    scopus 로고
    • Graph-based visual saliency
    • Harel, J., Koch, C., Perona, P.: Graph-based visual saliency. In: NIPS (2007)
    • (2007) NIPS
    • Harel, J.1    Koch, C.2    Perona, P.3
  • 22
    • 0142216243 scopus 로고    scopus 로고
    • Human gaze control in real-world scene perception
    • Henderson, J.: Human gaze control in real-world scene perception. Trends in Cognitive Sciences 7, 498-504 (2003)
    • (2003) Trends in Cognitive Sciences , vol.7 , pp. 498-504
    • Henderson, J.1
  • 23
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. on PAMI 20(11), 1254-1259 (1998)
    • (1998) IEEE Trans. on PAMI , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 26
    • 84866697047 scopus 로고    scopus 로고
    • Figure-ground segmentation by transferring window masks
    • Kuettel, D., Ferrari, V.: Figure-ground segmentation by transferring window masks. In: CVPR (2012)
    • (2012) CVPR
    • Kuettel, D.1    Ferrari, V.2
  • 27
    • 77953225585 scopus 로고    scopus 로고
    • Associative hierarchical crfs for object class image segmentation
    • Ladicky, L., Russell, C., Kohli, P.: Associative hierarchical crfs for object class image segmentation. In: ICCV (2009)
    • ICCV (2009)
    • Ladicky, L.1    Russell, C.2    Kohli, P.3
  • 30
    • 77956555768 scopus 로고    scopus 로고
    • Who's doing what: Joint modeling of names and verbs for simultaneous face and pose annotation
    • Luo, J., Caputo, B., Ferrari, V.: Who's doing what: Joint modeling of names and verbs for simultaneous face and pose annotation. In: NIPS (2009)
    • (2009) NIPS
    • Luo, J.1    Caputo, B.2    Ferrari, V.3
  • 31
    • 84867848624 scopus 로고    scopus 로고
    • Dynamic eye movement datasets and learnt saliency models for visual action recognition
    • Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part II. Springer, Heidelberg
    • Mathe, S., Sminchisescu, C.: Dynamic eye movement datasets and learnt saliency models for visual action recognition. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part II. LNCS, vol. 7573, pp. 842-856. Springer, Heidelberg (2012)
    • (2012) LNCS , vol.7573 , pp. 842-856
    • Mathe, S.1    Sminchisescu, C.2
  • 33
    • 79952645933 scopus 로고    scopus 로고
    • Object-based attentional selection in scene viewing
    • Nuthmann, A., Henderson, J.M.: Object-based attentional selection in scene viewing. Journal of Vision 10(8), 1-19 (2010)
    • (2010) Journal of Vision , vol.10 , Issue.8 , pp. 1-19
    • Nuthmann, A.1    Henderson, J.M.2
  • 34
    • 84856650974 scopus 로고    scopus 로고
    • Scene recognition and weakly supervised object localization with deformable part-based models
    • Pandey, M., Lazebnik, S.: Scene recognition and weakly supervised object localization with deformable part-based models. In: ICCV (2011)
    • ICCV (2011)
    • Pandey, M.1    Lazebnik, S.2
  • 35
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • Platt, J.: Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. Advances in large margin classifiers (1999)
    • (1999) Advances in Large Margin Classifiers
    • Platt, J.1
  • 36
  • 37
    • 78149289949 scopus 로고    scopus 로고
    • An eye fixation database for saliency detection in images
    • Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. Springer, Heidelberg
    • Ramanathan, S., Katti, H., Sebe, N., Kankanhalli, M., Chua, T.-S.: An eye fixation database for saliency detection in images. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 30-43. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6314 , pp. 30-43
    • Ramanathan, S.1    Katti, H.2    Sebe, N.3    Kankanhalli, M.4    Chua, T.-S.5
  • 38
    • 84877632511 scopus 로고    scopus 로고
    • Grabcut: Interactive foreground extraction using iterated graph cuts
    • Rother, C., Kolmogorov, V., Blake, A.: Grabcut: interactive foreground extraction using iterated graph cuts. SIGGRAPH (2004)
    • (2004) SIGGRAPH
    • Rother, C.1    Kolmogorov, V.2    Blake, A.3
  • 39
    • 84887368488 scopus 로고    scopus 로고
    • Looking beyond the image: Unsupervised learning for object saliency and detection
    • Siva, P., Russell, C., Xiang, T., Agapito, L.: Looking beyond the image: Unsupervised learning for object saliency and detection. In: CVPR (2013)
    • (2013) CVPR
    • Siva, P.1    Russell, C.2    Xiang, T.3    Agapito, L.4
  • 40
    • 84856651319 scopus 로고    scopus 로고
    • Weakly supervised object detector learning with model drift detection
    • Siva, P., Xiang, T.:Weakly supervised object detector learning with model drift detection. In: ICCV (2011)
    • ICCV (2011)
    • Siva, P.1    Xiang, T.2
  • 41
    • 84867866572 scopus 로고    scopus 로고
    • In defence of negative mining for annotating weakly labelled data
    • Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part III. Springer, Heidelberg
    • Siva, P., Russell, C., Xiang, T.: In defence of negative mining for annotating weakly labelled data. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part III. LNCS, vol. 7574, pp. 594-608. Springer, Heidelberg (2012)
    • (2012) LNCS , vol.7574 , pp. 594-608
    • Siva, P.1    Russell, C.2    Xiang, T.3
  • 42
    • 84887363653 scopus 로고    scopus 로고
    • Discriminative segment annotation in weakly labeled video
    • Tang, K., Sukthankar, R., Yagnik, J., Fei-Fei, L.: Discriminative segment annotation in weakly labeled video. In: CVPR (2013)
    • (2013) CVPR
    • Tang, K.1    Sukthankar, R.2    Yagnik, J.3    Fei-Fei, L.4
  • 44
    • 78149315825 scopus 로고    scopus 로고
    • Superpixels and supervoxels in an energy optimization framework
    • Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. Springer, Heidelberg
    • Veksler, O., Boykov, Y., Mehrani, P.: Superpixels and supervoxels in an energy optimization framework. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 211-224. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6315 , pp. 211-224
    • Veksler, O.1    Boykov, Y.2    Mehrani, P.3
  • 46
    • 84867884391 scopus 로고    scopus 로고
    • Space-variant descriptor sampling for action recognition based on saliency and eye movements
    • Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VII. Springer, Heidelberg
    • Vig, E., Dorr, M., Cox, D.: Space-variant descriptor sampling for action recognition based on saliency and eye movements. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VII. LNCS, vol. 7578, pp. 84-97. Springer, Heidelberg (2012)
    • (2012) LNCS , vol.7578 , pp. 84-97
    • Vig, E.1    Dorr, M.2    Cox, D.3
  • 47
    • 84864049528 scopus 로고    scopus 로고
    • Multiple instance boosting for object detection
    • Viola, P.A., Platt, J., Zhang, C.: Multiple instance boosting for object detection. In: NIPS (2005)
    • (2005) NIPS
    • Viola, P.A.1    Platt, J.2    Zhang, C.3
  • 48
    • 84892852242 scopus 로고    scopus 로고
    • Can you see it? Two novel eye-tracking-based measures for assigning tags to image regions
    • Li, S., El Saddik, A., Wang, M., Mei, T., Sebe, N., Yan, S., Hong, R., Gurrin, C. (eds.) MMM 2013, Part I. Springer, Heidelberg
    • Walber, T., Scherp, A., Staab, S.: Can you see it? Two novel eye-tracking-based measures for assigning tags to image regions. In: Li, S., El Saddik, A., Wang, M., Mei, T., Sebe, N., Yan, S., Hong, R., Gurrin, C. (eds.) MMM 2013, Part I. LNCS, vol. 7732, pp. 36-46. Springer, Heidelberg (2013)
    • (2013) LNCS , vol.7732 , pp. 36-46
    • Walber, T.1    Scherp, A.2    Staab, S.3
  • 49
    • 33745825233 scopus 로고    scopus 로고
    • An iterative optimization approach for unified image segmentation and matting
    • Wang, J., Cohen, M.: An iterative optimization approach for unified image segmentation and matting. In: ICCV (2005)
    • ICCV (2005)
    • Wang, J.1    Cohen, M.2
  • 52
    • 84887396648 scopus 로고    scopus 로고
    • Studying relationships between human gaze, description, and computer vision
    • Yun, K., Peng, Y., Samaras, D., Zelinsky, G.J., Berg, T.L.: Studying relationships between human gaze, description, and computer vision. In: CVPR (2013)
    • (2013) CVPR
    • Yun, K.1    Peng, Y.2    Samaras, D.3    Zelinsky, G.J.4    Berg, T.L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.