• L. Fei-Fei, ImageNet: crowdsourcing, benchmarking & other cool things, CMU VASC Seminar, March, 2010, ppt | pdf

• J. Deng, A. Berg, K. Li and L. Fei-Fei, What does classifying more than 10,000 image categories tell us? Proceedings of the 12th European Conference of Computer Vision (ECCV). 2010. pdf | BibTex
• O. Russakovsky and L. Fei-Fei, Attribute Learning in Large-scale Datasets. Proceedings of the 12th European Conference of Computer Vision (ECCV), 1st International Workshop on Parts and Attributes. 2010. pdf | Bibtex | slides | data
• 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

2011

• Leong, C.W. and Mihalcea, R. Measuring the semantic relatedness between words and images. International Conference on Computational Semantics (IWCS), 2011. pdf
• Damian Borth, Adrian Ulges, Thomas Breuel Automatic Concept-to-Query Mapping for Web-based Concept Detector Training ACM International Conference on Multimedia (ACM MM), 2011 pdf
• Damian Borth, Adrian Ulges, Thomas Breuel. Lookapp - Interactive Construction of Web-based Concept Detectors. ACM International Conference on Multimedia Retrieval (ICMR), Demo Session, 2011. pdf

2010

• 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
• 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
• 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
• 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
• 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
• 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
• 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

2009

• Academy, T.N. Scene Classification Using Cascaded Probabilistic Latent Semantic Analysis. Journal of Naval Science and Engineering, 2009. 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
• Hussein, M.E.A. Algorithmic Issues in Visual Object Recognition. PhD Dissertation, University of Maryland, 2009. 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
• 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
• 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
• 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