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About ImageNet


Citations and publications
Publication
  • J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei, ImageNet: A Large-Scale Hierarchical Image Database. IEEE Computer Vision and Pattern Recognition (CVPR), 2009. pdf | BibTex
  • J. Deng, K. Li, M. Do, H. Su, L. Fei-Fei, Construction and Analysis of a Large Scale Image Ontology. In Vision Sciences Society (VSS), 2009. pdf | BibTex
Papers that use or cite ImageNet
(Please write to if you have suggestions of other papers or would like to have your publications included here. )
  • Academy, T.N. Scene Classification Using Cascaded Probabilistic Latent Semantic Analysis. Journal of Naval Science and Engineering, 2009. pdf
  • Chang, J. and Boyd-Graber, J. and Gerrish, S. and Wang, C. and Blei, D.M. Reading Tea Leaves: How Humans Interpret Topic Models. Advances in Neural Information Processing Systems (NIPS), 2010. pdf
  • Chua, T.S. and Tang, S. and Trichet, R. and Tan, H.K. and Song, Y. MovieBase: A Movie Database for Event Detection and Behavioral Analysis. Proceedings of the 1st workshop on Web-scale multimedia corpus, 2009. pdf
  • Duchi, J. and Hazan, E. and Singer, Y. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. Manuscript,2010. pdf
  • Endres, A.F.I. and Hoiem, D. Attribute-Centric Recognition for Cross-category Generalization. CVPR, 2010. pdf
  • Guillaumin, M. and Verbeek, J. and Schmid, C. and LEAR, I.G. and Kuntzmann, L.J. Multimodal Semi-supervised Learning for Image Classification. CVPR, 2010. pdf
  • Hussein, M.E.A. Algorithmic Issues in Visual Object Recognition. PhD Dissertation, University of Maryland, 2009. pdf
  • Hwang, S.J. and Grauman, K. Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags. CVPR, 2010. pdf
  • Joshi, A.J. and Cities, T. and Porikli, F. and Papanikolopoulos, N. Breaking the Interactive Bottleneck in Multi-class Classification with Active Selection and Binary Feedback. CVPR, 2010. pdf
  • Li, H. and Wang, M. and Hua, X.S. MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset. IEEE International Conference on Data Mining Workshops, 2009. pdf
  • Maji, S. and Berg, A.C. Max-Margin Additive Classifiers for Detection. Proceedings of the IEEE International Conference on Computer Vision, 2009. pdf
  • Meger, D. and Muja, M. and Helmer, S. and Gupta, A. and Gamroth, C. and Hoffman, T. and Baumann, M. and Southey, T. and Fazli, P. and Wohlkinger, W. and others Curious George: An Integrated Visual Search Platform. Seventh Canadian Conference on Computer and Robot Vision (CRV), 2010. pdf
  • Nikolova, S. and Boyd-Graber, J. and Fellbaum, C. and Cook, P. Better Vocabularies for Assistive Communication Aids: Connecting Terms Using Semantic Networks and Untrained Annotators. Proceeding of the eleventh international ACM SIGACCESS conference on Computers and accessibility, 2009. pdf
  • Nowak, S. How Reliable Are Annotations via Crowdsourcing: A Study about Inter-annotator Agreement for Multi-label Image Annotation. Proceedings of the international conference on Multimedia information retrieval, 2010. pdf
  • Parikh, D. and Zitnick, C.L. The Role of Features, Algorithms and Data in Visual Recognition. CVPR, 2010. pdf
  • Siddiquie, B. and Gupta, A. Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning. CVPR, 2010. pdf
  • Su, H. and Sun, M. and Fei-Fei, L. and Savarese, S. Learning a Dense Multi-view Representation for Detection, Viewpoint Classification and Synthesis of Object Categories. ICCV, 2009. pdf
  • Taneva, B. and Kacimi, M. and Weikum, G. Gathering and Ranking Photos of Named Entities with High Precision, High Recall, and Diversity. Proceedings of the third ACM international conference on Web search and data mining, 2010. pdf
  • Vijayanarasimhan, S. and Jain, P. and Grauman, K. Far-Sighted Active Learning on a Budget for Image and Video Recognition. CVPR, 2010. pdf
  • Xing, X. Contextual Image Retrieval with Active Relevance Feedback. Master of Science, Thesis,University OF California, 2009. pdf
  • Zhang, S. and Tian, Q. and Hua, G. and Huang, Q. and Li, S. Descriptive Visual Words and Visual Phrases for Image Applications. Proceedings of the seventeen ACM international conference on Multimedia, 2009. pdf