Fei-Fei Li

Dept. of Computer Science, Stanford University

other persons with the same name:

• Fei-Fei Li 0002

	2012
j7		Christopher Baldassano, Marius Catalin Iordan, Diane M. Beck, Fei-Fei Li: Voxel-level functional connectivity using spatial regularization. NeuroImage 63(3): 1099-1106 (2012)
j6		Bangpeng Yao, Fei-Fei Li: Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1691-1703 (2012)
c52		Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Fei-Fei Li: Multi-Level Structured Image Coding on High-Dimensional Image Representation. ACCV (2) 2012: 147-161
c51		Jia Deng, Jonathan Krause, Alexander C. Berg, Fei-Fei Li: Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. CVPR 2012: 3450-3457
c50		Bangpeng Yao, Gary R. Bradski, Fei-Fei Li: A codebook-free and annotation-free approach for fine-grained image categorization. CVPR 2012: 3466-3473
c49		Olga Russakovsky, Yuanqing Lin, Kai Yu, Fei-Fei Li: Object-Centric Spatial Pooling for Image Classification. ECCV (2) 2012: 1-15
c48		Bangpeng Yao, Fei-Fei Li: Action Recognition with Exemplar Based 2.5D Graph Matching. ECCV (4) 2012: 173-186
c47		Adams Wei Yu, Hao Su, Fei-Fei Li: Efficient Euclidean Projections onto the Intersection of Norm Balls. ICML 2012
c46		Gunhee Kim, Fei-Fei Li, Eric P. Xing: Web image prediction using multivariate point processes. KDD 2012: 1068-1076
i1		Adams Wei Yu, Hao Su, Fei-Fei Li: Efficient Euclidean Projections onto the Intersection of Norm Balls. CoRR abs/1206.4638 (2012)
	2011
c45		Jia Deng, Alexander C. Berg, Fei-Fei Li: Hierarchical semantic indexing for large scale image retrieval. CVPR 2011: 785-792
c44		Bangpeng Yao, Aditya Khosla, Fei-Fei Li: Combining randomization and discrimination for fine-grained image categorization. CVPR 2011: 1577-1584
c43		Bin Zhao, Fei-Fei Li, Eric P. Xing: Online detection of unusual events in videos via dynamic sparse coding. CVPR 2011: 3313-3320
c42		Gunhee Kim, Eric P. Xing, Fei-Fei Li, Takeo Kanade: Distributed cosegmentation via submodular optimization on anisotropic diffusion. ICCV 2011: 169-176
c41		Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy Lai Lin, Leonidas J. Guibas, Fei-Fei Li: Human action recognition by learning bases of action attributes and parts. ICCV 2011: 1331-1338
c40		Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Fei-Fei Li: Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition. NIPS 2011: 567-575
c39		Bin Zhao, Fei-Fei Li, Eric P. Xing: Large-Scale Category Structure Aware Image Categorization. NIPS 2011: 1251-1259
c38		Manolis Savva, Nicholas Kong, Arti Chhajta, Fei-Fei Li, Maneesh Agrawala, Jeffrey Heer: ReVision: automated classification, analysis and redesign of chart images. UIST 2011: 393-402
	2010
j5		Li-Jia Li, Fei-Fei Li: OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning. International Journal of Computer Vision 88(2): 147-168 (2010)
j4		Robert Fergus, Fei-Fei Li, Pietro Perona, Andrew Zisserman: Learning Object Categories From Internet Image Searches. Proceedings of the IEEE 98(8): 1453-1466 (2010)
c37		Bangpeng Yao, Fei-Fei Li: Grouplet: A structured image representation for recognizing human and object interactions. CVPR 2010: 9-16
c36		Bangpeng Yao, Fei-Fei Li: Modeling mutual context of object and human pose in human-object interaction activities. CVPR 2010: 17-24
c35		Juan Carlos Niebles, Bohyung Han, Fei-Fei Li: Efficient extraction of human motion volumes by tracking. CVPR 2010: 655-662
c34		Richard Socher, Fei-Fei Li: Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora. CVPR 2010: 966-973
c33		Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Fei-Fei Li: Building and using a semantivisual image hierarchy. CVPR 2010: 3336-3343
c32		Olga Russakovsky, Fei-Fei Li: Attribute Learning in Large-Scale Datasets. ECCV Workshops (1) 2010: 1-14
c31		Li-Jia Li, Hao Su, Yongwhan Lim, Fei-Fei Li: Objects as Attributes for Scene Classification. ECCV Workshops (1) 2010: 57-69
c30		Jia Deng, Alexander C. Berg, Kai Li, Fei-Fei Li: What Does Classifying More Than 10, 000 Image Categories Tell Us? ECCV (5) 2010: 71-84
c29		Juan Carlos Niebles, Chih-Wei Chen, Fei-Fei Li: Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification. ECCV (2) 2010: 392-405
c28		Bin Zhao, Fei-Fei Li, Eric P. Xing: Image Segmentation with Topic Random Field. ECCV (5) 2010: 785-798
c27		Li-Jia Li, Hao Su, Eric P. Xing, Fei-Fei Li: Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification. NIPS 2010: 1378-1386
c26		Jun Zhu, Li-Jia Li, Fei-Fei Li, Eric P. Xing: Large Margin Learning of Upstream Scene Understanding Models. NIPS 2010: 2586-2594
p2		Fei-Fei Li, Li-Jia Li: What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization. Computer Vision: Detection, Recognition and Reconstruction 2010: 157-171
p1		Silvio Savarese, Fei-Fei Li: Multi-view Object Categorization and Pose Estimation. Computer Vision: Detection, Recognition and Reconstruction 2010: 205-231
	2009
c25		Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Fei-Fei Li: ImageNet: A large-scale hierarchical image database. CVPR 2009: 248-255
c24		Min Sun, Hao Su, Silvio Savarese, Fei-Fei Li: A multi-view probabilistic model for 3D object classes. CVPR 2009: 1247-1254
c23		Chong Wang, David M. Blei, Fei-Fei Li: Simultaneous image classification and annotation. CVPR 2009: 1903-1910
c22		Li-Jia Li, Richard Socher, Fei-Fei Li: Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. CVPR 2009: 2036-2043
c21		Hao Su, Min Sun, Fei-Fei Li, Silvio Savarese: Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. ICCV 2009: 213-220
c20		Barry Chai, Dirk B. Walther, Diane M. Beck, Fei-Fei Li: Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis. NIPS 2009: 270-278
c19		Bangpeng Yao, Dirk B. Walther, Diane M. Beck, Fei-Fei Li: Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions. NIPS 2009: 2178-2186
	2008
j3		Juan Carlos Niebles, Hongcheng Wang, Fei-Fei Li: Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. International Journal of Computer Vision 79(3): 299-318 (2008)
c18		Brendan Collins, Jia Deng, Kai Li, Fei-Fei Li: Towards Scalable Dataset Construction: An Active Learning Approach. ECCV (1) 2008: 86-98
c17		Juan Carlos Niebles, Bohyung Han, Andras Ferencz, Fei-Fei Li: Extracting Moving People from Internet Videos. ECCV (4) 2008: 527-540
c16		Silvio Savarese, Fei-Fei Li: View Synthesis for Recognizing Unseen Poses of Object Classes. ECCV (3) 2008: 602-615
c15		Jilin Tu, Yun Fu, Aleksandar Ivanovic, Thomas S. Huang, Fei-Fei Li: Variational Transform Invariant Mixture of Probabilistic PCA. WACV 2008: 1-6
	2007
j2		Fei-Fei Li, Robert Fergus, Pietro Perona: Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Computer Vision and Image Understanding 106(1): 59-70 (2007)
c14		Li-Jia Li, Juan Carlos Niebles, Fei-Fei Li: OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning. AAAI 2007: 1987-1988
c13		Li-Jia Li, Gang Wang, Fei-Fei Li: OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. CVPR 2007
c12		Juan Carlos Niebles, Fei-Fei Li: A Hierarchical Model of Shape and Appearance for Human Action Classification. CVPR 2007
c11		Liangliang Cao, Fei-Fei Li: Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes. ICCV 2007: 1-8
c10		Li-Jia Li, Fei-Fei Li: What, where and who? Classifying events by scene and object recognition. ICCV 2007: 1-8
c9		Silvio Savarese, Fei-Fei Li: 3D generic object categorization, localization and pose estimation. ICCV 2007: 1-8
	2006
j1		Fei-Fei Li, Robert Fergus, Pietro Perona: One-Shot Learning of Object Categories. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 594-611 (2006)
c8		Juan Carlos Niebles, Hongcheng Wang, Fei-Fei Li: Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. BMVC 2006: 1249-1258
c7		Gang Wang, Ye Zhang, Fei-Fei Li: Using Dependent Regions for Object Categorization in a Generative Framework. CVPR (2) 2006: 1597-1604
c6		Akash Kushal, Mandar Rahurkar, Fei-Fei Li, Jean Ponce, Thomas S. Huang: Audio-Visual Speaker Localization Using Graphical Models. ICPR (1) 2006: 291-294
c5		Jilin Tu, Aleksandar Ivanovic, Xun Xu, Fei-Fei Li, Thomas S. Huang: Variational Shift Invariant Probabilistic PCA for Face Recognition. ICPR (3) 2006: 548-551
	2005
c4		Fei-Fei Li, Pietro Perona: A Bayesian Hierarchical Model for Learning Natural Scene Categories. CVPR (2) 2005: 524-531
c3		Robert Fergus, Fei-Fei Li, Pietro Perona, Andrew Zisserman: Learning Object Categories from Google's Image Search. ICCV 2005: 1816-1823
	2004
c2		Silvio Savarese, Fei-Fei Li, Pietro Perona: What do reflections tell us about the shape of a mirror? APGV 2004: 115-118
	2003
c1		Fei-Fei Li, Robert Fergus, Pietro Perona: A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. ICCV 2003: 1134-1141

Coauthor Index

Colors in the list of coauthors

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