李飞飞是斯坦福大学计算机科学的副教授。
任职于斯坦福大学人工智能实验室（SAIL）、斯坦福视觉实验室、丰田汽车-斯坦福人工智能研究中心负责人。她的专业领域是计算机视觉和认知神经科学。现任职Google云人工智能首席科学家，并创立了公益组织AI4。
1999年，她以优异表现在普林斯顿大学取得物理学学士。毕业后，华尔街股市正热，她却婉拒了高盛、麦肯锡公司等投资银行的合约，前往西藏一年研究西藏传统药物。
2005年，她在加州理工学院取得了电机工程博士。她的博士研究获得了保罗与黛西奖学金(Paul and Daisy Soros Fellowship for New Americans, USA.)的支持。
2005年到2009年八月，她分别在伊利诺伊大学厄巴纳-香槟分校电机系和普林斯顿大学的计算机科学系分别担任助教的工作。2009年她在斯坦福大学担任助理教授，并在2012年被升等为终身职的副教授。
李飞飞的研究领域主要为电脑视觉、认知神经科学、电脑神经科学和大数据分析。她出版了超过百篇学术论文。她的文章常出现在计算机科学和神经科学相关期刊，包括自然、美国国家科学院院刊、神经科学期刊、电脑视觉与模式辨识大会、国际电脑视觉大会、神经资讯与处理、欧洲电脑视觉大会、国际电脑视觉期刊、电机电子工程师学会模式分析与机器智慧期刊。
她最知名的工作是Caltech 101和视觉网专案(ImageNet)，其中视觉网专案，已经成为辨识巨量视觉资料的重大进步，试图使用大量的图片来让程式学习辨识物体。
机械鸡收录了到目前为止李飞飞教授的所有论文，近3年论文均附有单篇PDF预览/下载链接，2014年之前的论文仅部分列出，获取完整版论文合集请回复关键词“飞飞”获取下载链接。
1. Inferring and Executing Programs for Visual Reasoning
作者： Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li
Fei-Fei, C. Lawrence Zitnick, Ross Girshick
Subjects: Computer Vision and Pattern Recognition (cs.CV); Computation and Language (cs.CL); Learning (cs.LG)
PDF地址：https://arxiv.org/pdf/1705.03633.pdf 或 arXiv:1705.03633 [pdf, other]
2. Characterizing and Improving Stability in Neural Style Transfer
作者：Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1705.02092.pdf 或 arXiv:1705.02092 [pdf, other]
3. Dense-Captioning Events in Videos
作者：Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1705.00754.pdf 或 arXiv:1705.00754 [pdf, other]
4. Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos
作者：De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles
Comments: To appear in CVPR 2017
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1703.02521.pdf 或 arXiv:1703.02521 [pdf, other]
5. Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
作者：Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei
Comments: 41 pages including supplementary material. Under review at PNAS
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1702.06683 或 arXiv:1702.06683 [pdf, other]
6. Scene Graph Generation by Iterative Message Passing
作者：Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei
文源：Comments: CVPR 2017
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1701.02426.pdf 或 arXiv:1701.02426 [pdf, other]
7. Knowledge Acquisition for Visual Question Answering via Iterative Querying
作者：Yuke Zhu, Joseph J. Lim, Li Fei-Fei
文源：CVPR 2017
PDF地址：http://web.stanford.edu/~yukez/papers/cvpr2017zhu.pdf
8. Learning to learn from noisy web videos
作者：Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen,Greg Mori, Li Fei-Fei
文源：CVPR 2017
PDF地址：http://www.cs.cmu.edu/~orussako/papers/YeungCVPR17.pdf
9. Jointly Learning Energy Expenditures and Activities using Egocentric Multimodal Signals
作者：Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei
PDF地址：http://t.cn/RanJNPm
10. Tracking Millions of Humans in Crowded Space
作者：Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei
PDF地址：http://t.cn/RanJ9tD
11. Learning to Predict Human Behaviour in Crowded Scenes
作者：Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir Abbas Sadeghian, Li Fei-Fei, Silvio Savarese
PDF地址：http://t.cn/RanJoWL
12. Fine-Grained Car Detection for Visual Census Estimation
作者：Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
文源：AAAI 2017
PDF地址：https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14583/14059
13. Scalable Annotation of Fine-Grained Objects Without Experts
作者：Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
PDF地址：http://ai.stanford.edu/~tgebru/papers/chi.pdf
14. Unsupervised Camera Localization in Crowded Spaces
作者：Alexandre Alahi, Judson Wilson, Li Fei-Fei, Silvio Savarese
文源：ICRA 2017
PDF地址：http://web.stanford.edu/~alahi/downloads/icra17.pdf
15. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
作者：Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua
Kravitz, Stephanie Chen, Yannis Kalantidis, Li Jia-Li, David Ayman Shamma, Michael
Bernstrein, Li Fei-Fei
PDF地址：http://t.cn/RanJXyX
16. Unsupervised Learning of Long-Term Motion Dynamics for Videos
作者：Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei
文源：Comments: CVPR 2017
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1701.01821.pdf 或 arXiv:1701.01821 [pdf, other]
17. A Hierarchical Approach for Generating Descriptive Image Paragraphs
作者：Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
文源: CVPR 2017
Subjects: Computer Vision and Pattern Recognition (cs.CV); Computation and Language (cs.CL)
PDF地址：https://arxiv.org/pdf/1611.06607.pdf 或 arXiv:1611.06607 [pdf, other]
18. End-to-end Learning of Action Detection from Frame Glimpses in Videos
作者：Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei
文源: Update to version in CVPR 2016 proceedings
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)
PDF地址：https://arxiv.org/pdf/1511.06984 或 arXiv:1511.06984 [pdf, other]
1. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
作者：Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C.
Lawrence Zitnick, Ross Girshick
文源: Computer Vision and Pattern Recognition (cs.CV); Computation and Language
(cs.CL); Learning (cs.LG)
PDF地址：https://arxiv.org/pdf/1612.06890.pdf 或 arXiv:1612.06890 [pdf, other]
2. Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement
Learning
作者：Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-
Fei, Ali Farhadi
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1609.05143.pdf 或 arXiv:1609.05143 [pdf, other]
3. A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality
作者：Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein
文源： 10 pages, 11 figures, accepted CSCW 2017
Subjects: Human-Computer Interaction (cs.HC); Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1609.04855.pdf 或 arXiv:1609.04855 [pdf, other]
4. Vision-Based Classification of Developmental Disorders Using EyeMovements
作者：Guido Pusiol, Andre Esteva, Scott S. Hall, Michael Frank, Arnold Milstein, Li
Fei-Fei
PDF地址：http://vision.stanford.edu/pdf/pusiol2016miccai.pdf
5. Social LSTM: Human Trajectory Prediction in Crowded Spaces
作者：Alexandre Alahi*, Kratarth Goel*, Vignesh Ramanathan, Alexandre Robicquet, Li
Fei-Fei, Silvio Savarese
文源：CVPR 2016
PDF地址：http://t.cn/RanJmiT
6. Human-object Interactions are More than the Sum of Their Parts
作者：Christopher Baldassano, Diane M. Beck, Li Fei-Fei
PDF地址：http://www.princeton.edu/~chrisb/CC2016.pdf
7. Typicality Sharpens Category Representations in Object-Selective Cortex
作者：Marius C?t?lin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei
文源：Neuroimage 2016
PDF地址：http://www.princeton.edu/~miordan/materials/iordan-cns-poster-2015.pdf
8. Visual Scenes Are Categorized by Function
作者：Michelle R. Greene, Christopher Baldassano, Diane M. Beck, Li FeiFei
PDF地址：http://t.cn/RanJ3d3
9. Recurrent Attention Models for Depth-Based Person Identification
作者：Albert Haque, Alexandre Alahi, Li Fei-Fei
文源： Computer Vision and Pattern Recognition (CVPR) 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1611.07212.pdf 或 arXiv:1611.07212 [pdf, other]
10. Crowdsourcing in Computer Vision
作者：Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman
文源： A 69-page meta review of the field, Foundations and Trends in Computer Graphics and Vision, 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC)
PDF地址：http://t.cn/RanJdEN 或 arXiv:1611.02145 [pdf, other]
11. Visual Relationship Detection with Language Priors
作者：Cewu Lu, Ranjay Krishna, Michael Bernstein, Li Fei-Fei
文源： ECCV 2016 Oral
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1608.00187.pdf 或 arXiv:1608.00187 [pdf, other]
12. Connectionist Temporal Modeling for Weakly Supervised Action Labeling
作者：De-An Huang, Li Fei-Fei, Juan Carlos Niebles
文源： To appear in ECCV 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1607.08584.pdf 或 arXiv:1607.08584 [pdf, other]
13. Perceptual Losses for Real-Time Style Transfer and Super-Resolution
作者：Justin Johnson, Alexandre Alahi, Li Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)
PDF地址：https://arxiv.org/pdf/1603.08155.pdf 或 arXiv:1603.08155 [pdf, other]
14. Towards Viewpoint Invariant 3D Human Pose Estimation
作者：Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei
文源：Comments: European Conference on Computer Vision (ECCV) 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1603.07076.pdf 或 arXiv:1603.07076 [pdf, other]
15. What's the Point: Semantic Segmentation with Point Supervision
作者：Amy Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei
文源：Comments: ECCV (2016) submission
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1506.02106.pdf 或 arXiv:1506.02106 [pdf, other]
16. Embracing Error to Enable Rapid Crowdsourcing
作者：Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S.Bernstein
文源：Comments: 10 pages, 7 figures, CHI '16, CHI: ACM Conference on Human Factors in Computing Systems (2016)
Subjects: Human-Computer Interaction (cs.HC); Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1602.04506.pdf 或 arXiv:1602.04506 [pdf, other]
17. The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
作者：Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
文源：Comments: ECCV 2016, data is released
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1511.06789.pdf 或 arXiv:1511.06789 [pdf, other]
18. Visual7W: Grounded Question Answering in Images
作者：Yuke Zhu, Oliver Groth, Michael Bernstein, Li Fei-Fei
文源：Comments: CVPR 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Neural
and Evolutionary Computing (cs.NE)
PDF地址：https://arxiv.org/pdf/1511.03416 或 arXiv:1511.03416 [pdf, other]
19. Detecting events and key actors in multi-person videos
作者：Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei
文源：Comments: Accepted for publication in CVPR'16
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
PDF地址：https://arxiv.org/pdf/1511.02917.pdf 或 arXiv:1511.02917 [pdf, other]
1. DenseCap: Fully Convolutional Localization Networks for Dense Captioning
作者：Justin Johnson, Andrej Karpathy, Li Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)
PDF地址：https://arxiv.org/pdf/1511.07571.pdf 或 arXiv:1511.07571 [pdf, other]
2. Visualizing and Understanding Recurrent Networks
作者：Andrej Karpathy, Justin Johnson, Li Fei-Fei
文源：Comments: changing style, adding references, minor changes to text
Subjects: Learning (cs.LG); Computation and Language (cs.CL); Neural and Evolutionary Computing (cs.NE)
PDF地址：https://arxiv.org/pdf/1506.02078.pdf 或 arXiv:1506.02078 [pdf, other]
3. What You See is What You Expect: Rapid Scene Understanding Benefits from Prior Experience
作者：Michelle R. Greene, Abraham P. Botros, Diane M. Beck, Li Fei-Fei
PDF地址：http://stanford.edu/~mrgreene/improbableAPP2015.pdf
4. Generating Semantically Precise Scene Graphs from Textual Descriptions for
Improved Image Retrieval
作者：Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei, Christopher D.
Manning
PDF地址：https://nlp.stanford.edu/pubs/schuster-krishna-chang-feifei-manning-vl15.pdf
5. Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions
作者：Marius C?t?lin Iordan, Armand Joulin, Diane M. Beck, Li Fei-Fei
PDF地址：http://www-cs.stanford.edu/~mci/materials/iordan-etal-mlini-preprint.pdf
6. RGB-W: When Vision Meets Wireless
作者：Alexandre Alahi, Albert Haque, Li Fei-Fei
PDF地址：http://www.cs.stanford.edu/groups/vision/pdf/RGBW_ICCV15.pdf
7. Love Thy Neighbors: Image Annotation by Exploiting Image Metadata
作者：Justin Johnson*, Lamberto Ballan*, Li Fei-Fei
PDF地址：http://cs.stanford.edu/people/jcjohns/papers/iccv15/JohnsonICCV2015.pdf
8. Image Retrieval using Scene Graphs
作者：Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Ayman Shamma,
Michael Bernstein, Li Fei-Fei
PDF地址：http://t.cn/RaniU6U
9. Fine-Grained Recognition without Part Annotations
作者：Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei
PDF地址：http://cs.stanford.edu/groups/vision/pdf/joncvpr15.pdf
10. Best of both worlds: humanmachine collaboration for dense object annotation
作者：Olga Russakovsky, Li-Jia Li, Li FeiFei
PDF地址：http://t.cn/Raniqj8
11. Parcellating connectivity in spatial maps
作者：Christopher Baldassano, Diane M. Beck, Li Fei-Fei
PDF地址：http://vision.stanford.edu/pdf/peerj-784.pdf
12. Basic Level Category Structure Emerges Gradually Across Human Ventral Visual Cortex
作者：Marius C?t?lin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei
PDF地址：http://stanford.edu/~mrgreene/IordanJOCN.pdf
13. SentenceRacer: A Game with a Purpose for Image Sentence Annotation
作者：Kenji Hata, Sherman Leung, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
文源：Comments: 2 pages, 2 figures, 2 tables, potential CSCW poster submission
Subjects: Human-Computer Interaction (cs.HC)
PDF地址：https://arxiv.org/pdf/1508.07053.pdf 或 arXiv:1508.07053 [pdf, other]
14. Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
作者：Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li
Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1507.05738.pdf 或 arXiv:1507.05738 [pdf, other]
15. Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries
作者：Yuke Zhu, Ce Zhang, Christopher Ré, Li Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)
PDF地址：https://arxiv.org/pdf/1507.05670.pdf 或 arXiv:1507.05670 [pdf, other]
16. Improving Image Classification with Location Context
作者：Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir Bourdev
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1505.03873.pdf 或 arXiv:1505.03873 [pdf, other]
17. Learning Temporal Embeddings for Complex Video Analysis
作者：Vignesh Ramanathan, Kevin Tang, Greg Mori, Li Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1505.00315.pdf 或 arXiv:1505.00315 [pdf, other]
18. Deep Visual-Semantic Alignments for Generating Image Descriptions
作者：Andrej Karpathy, Li Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1412.2306.pdf 或 arXiv:1412.2306 [pdf, other]
19. Affordances Provide a Fundamental Categorization Principle for Visual Scenes
作者：Michelle R. Greene, Christopher Baldassano, Andre Esteva, Diane M. Beck, Li
Fei-Fei
Subjects: Neurons and Cognition (q-bio.NC); Computer Vision and Pattern Recognition
(cs.CV); Human-Computer Interaction (cs.HC)
PDF地址：https://arxiv.org/pdf/1411.5340.pdf 或 arXiv:1411.5340 [pdf]
20. Visual Noise from Natural Scene Statistics Reveals Human Scene Category
Representations
作者：Michelle R. Greene, Abraham P. Botros, Diane M. Beck, Li Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC)
PDF地址：https://arxiv.org/pdf/1411.5331.pdf 或 arXiv:1411.5331 [pdf]
21. ImageNet Large Scale Visual Recognition Challenge
作者：Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein,Alexander C. Berg, Li Fei-Fei
文源：Comments: 43 pages, 16 figures. v3 includes additional comparisons with PASCAL VOC (per-category comparisons in Table 3, distribution of localization difficulty in Fig 16), a list of queries used for obtaining object detection images (Appendix C),
and some additional references
Subjects: Computer Vision and Pattern Recognition (cs.CV)
PDF地址：https://arxiv.org/pdf/1409.0575.pdf 或 arXiv:1409.0575 [pdf, other]
1. VideoSET: Video Summary Evaluation through Text
作者：Serena Yeung, Alireza Fathi, Li Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV); Computation and Language (cs.CL); Information Retrieval (cs.IR)
PDF地址：https://arxiv.org/pdf/1406.5824.pdf 或 arXiv:1406.5824 [pdf, other]
2. Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
作者：Andrej Karpathy, Armand Joulin, Li Fei-Fei
Subjects: Computer Vision and Pattern Recognition (cs.CV); Computation and Language (cs.CL); Learning (cs.LG)
PDF地址：https://arxiv.org/pdf/1406.5679.pdf 或 arXiv:1406.5679 [pdf, other]
3. Linking people in videos with “their” names using coreference resolution
作者：Vignesh Ramanathan, Armand Joulin, Percy Liang and Li Fei-Fei
4. Reasoning About Object Affordances in a Knowledge Base Representation
作者：Yuke Zhu, Alireza Fathi, and Li FeiFei
5. Efficient Image and Video Co-localization with Frank-Wolfe Algorithm
作者：Armand Joulin*, Kevin Tang*, Li Fei-Fei
文源：ECCV 2014
6. Discovering the Signatures of Joint Attention in Child-Caregiver Interaction
作者：Pusiol, G., Soriano, L., Fei-Fei, L., Frank, M. C.
文源：CogSci 2014
7. Socially-aware Large-scale Crowd Forecasting
作者：Alexandre Alahi, Vignesh Ramanathan, and Li Fei-Fei
文源：CVPR 2014 (oral)
PDF地址：http://vision.stanford.edu/pdf/alahi14.pdf
8. Co-localization in Real-World Images
作者：Kevin Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei
文源：CVPR 2014
9. Scalable Multi-Label Annotation
作者：Jia Deng, Olga Russakovsky, Jonathan Krause, Michael Bernstein, Alexander C.
Berg and Li Fei-Fei.
10. Visual Categorization is Automatic and Obligatory: Evidence from a Stroop-like Paradigm
作者：Michelle Greene, Li Fei-Fei
11. Learning Features and Parts for Fine-Grained Recognition
作者：Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei
文源：ICPR, 2014
12. Large-Scale Video Classification with Convolutional Neural Networks
作者：Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul
Sukthankar, Li Fei-Fei
1. Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion
作者：Axel Furlan, Stephen Miller, Domenico Giorgio Sorrenti, Li Fei-Fei, Silvio
Savarese
文源：BMVC 2013
2. 3D Object Representations for Fine-Grained Categorization
作者：Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
文源：ICCV 2013, Workshop on 3D Representation and Recognition
3. Combining the Right Features for Complex Event Recognition
作者：Kevin Tang, Bangpeng Yao, Li FeiFei, Daphne Koller
文源：ICCV 2013
4. Video Event Understanding using Natural Language Descriptions
作者：Vignesh Ramananthan, Percy Liang, and Li Fei-Fei
5. Detecting avocados to zucchinis: what have we done, and where are we going?
作者：O. Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg and Li Fei-Fei
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