Ali Farhadi

Publications

• 2020
  • What’s Hidden in a Randomly Weighted Neural Network?
    Vivek Ramanujan*, Mitchell Wortsman*, Aniruddha Kembhavi, Ali Farhadi, and Mohammad Rastegari
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    
  
  
  • RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
    Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk,Eli VanderBilt, Mathew Walingford, Luca Weihs,Mark Yatskar, Ali Farhadi
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    
  
  
  • Visual Reaction: Learning to Play Catch with Your Drone
    Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, and Ali Farhadi
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    
  
  
  • Butterfly Transform: An Efficient FFT Based Neural Architecture Design
    Keivan Alizadeh vahid, Anish Prabhu, Ali Farhadi, and Mohammad Rastegari
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    
  
  
  • Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
    Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, and Abhinav Gupta
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    
  
  

• 2019
  • Discovering Neural Wirings
    Mitchel Wortsman, Ali Farhadi, Mohammad Rastegari
    in Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2019.
    
  
  
  • Defending Against Neural Fake news
    Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi
    in Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2019.
    
  
  
  • Conditional Driving from Natural Language Instructions
    Junha Roh, Chris Paxton, Andrezej Pronobis, Ali Farhadi, Dieter Fox
    in Proceedings of the Conference on Robot Learning (CoRL), 2019.
    
  
  
  • Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
    Minjoon Seo, J Lee, Tom Kwiatkowski, AP Parikh, Ali Farhadi, Hannaneh Hajishirzi
    in Proceedings of the Association of Computational Linguistics (ACL), 2019.
    
  
  
  • HellaSwag: Can a Machine Really Finish Your Sentence?
    Rowan Zellers, A Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi
    in Proceedings of the Association of Computational Linguistics (ACL), 2019.
    
  
  
  • Learning to Learn How to Learn:Self-Adaptive Visual Navigation Using Meta-Learning
    Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
    
  
  
  • Two Body Problem: Collaborative Visual Task Completion
    Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
    
  
  
  • From Recognition to Cognition: Visual Commonsense Reasoning
    Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
    
  
  
  • ELASTIC: Improving CNNs with Instance Specific Scaling Policies
    Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan Yuille, Mohammad Rastegari
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
    
  
  
  • Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph
    Yao-Hung Hubert Tsai, Santosh Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
    
  
  
  • OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
    Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
    in Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  
  
  • Visual Semantic Navigation using Scene Priors
    Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi
    in Proceedings of the International Conference on Learning Representations (ICLR), 2019.
    
  
  

• 2018
  • Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
    Minjoon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, and Hannaneh Hajishirzi
    in Proceedings of the Epirical Methods in Natural Langauge Processing (EMNLP), 2018.
    
  
  
  • PhotoShape: Photorealistic Materials for Large-Scale Shape Collections
    Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steve Seitz
    ACM SIGGRAPH Asia, 2018.
    
  
  
  • Imagine This! Scripts to Compositions to Videos
    Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, and Aniruddha Kembhavi
    in Proceedings of the European Confernce on Computer Vision (ECCV), 2018.
    
  
  
  • Transferring Common-Sense Knowledge for Object Detection
    Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, and Yong Jae Lee
    in Proceedings of the European Confernce on Computer Vision (ECCV), 2018.
    
  
  
  • Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
    K Ehsani, H Bagherinezhad, J Redmon, R Mottaghi, A Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2018.
    
  
  
  • Segan: Segmenting and generating the invisible
    K Ehsani, R Mottaghi, A Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2018.
  
  
  • Actor and Observer: Joint Modeling of First and Third-Person Videos
    Gunnar Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2018.
    
  
  
  • IQA: Visual Question Answering in Interactive Environments
    D Gordon, A Kembhavi, M Rastegari, J Redmon, D Fox, A Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2018.
    [NVIDIA Pioneer Award]
  
  
  • Structured Set Matching Networks for One-Shot Part Labeling
    J Choi, J Krishnamurthy, A Kembhavi, A Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2018.
    
  
  
  • AI2-THOR: An Interactive 3D Environment for Visual AI
    E Kolve, R Mottaghi, D Gordon, Y Zhu, A Gupta, A Farhadi
    
  
  
  • Neural Speed Reading via Skim-RNN
    M Seo, S Min, A Farhadi, H Hajishirzi
    in Proceedings of the International Conferene on Representation Learning (ICLR), 2018.
    
  
  
  • Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
    Daniel Gordon, Ali Farhadi, Dieter Fox
    in Robotics and Automation Letters, and ICRA 2018.
    
  
  
  • AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video
    XRN Wang, A Farhadi, R Rao, B Brunton
    in Proceedings of the Conference in Artificial Intelligence (AAAI), 2018.
    
  
  

• 2017
  • Visual Semantic Planning using Deep Successor Representations
    Yuke Zhu*, Daniel Gordon*, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi (* equal contribution)
    in Proceedings of International Conference on Computer Vision (ICCV), 2017.
    
  
  
  • See the Glass Half Full: Reasoning about Liquid Containers, their Volume and Content
    Roozbeh Mottaghi, Connor Schenck, Dieter Fox, Ali Farhadi
    in Proceedings of International Conference on Computer Vision (ICCV), 2017.
    
  
  
  • YOLO9000: Better, Faster, Stronger
    Joseph Redmon, Ali Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2017.
    [Best Paper Honorable Mention Award]
  
  
  • LCNN: Lookup-based Convolutional Neural Network
    Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2017.
    
  
  
  • Commonly Uncommon: Semantic Sparsity in Situation Recognition
    Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2017.
    
  
  
  • Are You Smarter Than A Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension
    Aniruddha Kembhavi, Minjoon Seo, Eric Klove, Dustin Schwenk, Hannaneh Hajishirzi, Ali Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2017.
    
  
  
  • Asynchronous Temporal Fields for Action Recognition
    Gunnar A Sigurdsson, Santosh Divvala, Ali Farhadi, Abhinav Gupta
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2017.
    
  
  
  • Bidirectional Attention Flow for Machine Comprehension
    Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
    in Proceedings of the International Conferene on Representation Learning (ICLR), 2017.
    
  
  
  • Query-Reduction Networks for Question Answering
    Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
    in Proceedings of the International Conferene on Representation Learning (ICLR), 2017.
    
  
  
  • Target-driven visual navigation in indoor scenes using deep reinforcement learning
    Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph Lim, Abhinav Gupta, Fei-Fei Li, Ali Farhadi
    in Proceedings of the International Conferene on Robotics and Automation (ICRA), 2017.
    
  
  
  • Summarizing unconstrained videos using salient montages
    M Sun, A Farhadi, B Taskar, S Seitz
    in IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2017.
    
  
  
  • Semantic Highlight Retrieval and Term Prediction
    M Sun, KH Zeng, YC Lin, A Farhadi
    in IEEE transactions on Image Processing, 2017.
    
  
  

• 2016
  • XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
    Mohammad Rastegari, Vicente Ordonez, Joe Redmon, Ali Farhadi
    in Proceedings of the European Conference on Computer Vision (ECCV), 2016.
    
  
  
  • "What happens if..." Learning to predict the effect of forces in images
    Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi
    in Proceedings of the European Conference on Computer Vision (ECCV), 2016.
    
  
  
  • A Diagram Is Worth A Dozen Images
    Ani Kembhavi, Mike Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi
    in Proceedings of the European Conference on Computer Vision (ECCV), 2016.
    
  
  
  • Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
    Eric Xie, Ross Girshick, Ali Farhadi
    in Proceedings of the European Conference on Computer Vision (ECCV), 2016.
    
  
  
  • Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
    Gunnar Sigurdsson, Gul Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta
    in Proceedings of the European Conference on Computer Vision (ECCV), 2016. [Project page, Charades dataset]
    
  
  
  • FigureSeer:Parsing Result-Figures in Research Papers
    Noah Siegel, Santosh Divvala, Ali Farhadi
    in Proceedings of the European Conference on Computer Vision (ECCV), 2016.
    
  
  
  • Situation Recognition: Visual Semantic Role Labeling for Image Understanding
    Mark Yatskar, Luke Zettlemoyer, Ali Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016. [demo, dataset, code]
    
  
  
  • Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images
    Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016. [Project page, dataset, code]
    
  
  
  • You Only Look Once: Unified, Real-Time Object Detection
    Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016. [Project page, code]
    [OpenCV People's Choice Award]
  
  
  • Actions~Transformation
    Xiaolong Wang, Ali Farhadi, and Abhinav Gupta
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016.
    
  
  
  • A Task-Oriented Approach for Cost-sensitive Recognition
    Roozbeh Mottaghi, Hannaneh Hajishirzi, and Ali Farhadi
    in Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016.
    
  
  
  • Unsupervised Deep Embedding for Clustering Analysis
    Junyuan Xie, Ross Girshick, and Ali Farhadi
    in International Conference on Machine Learning (ICML), 2016. [Project page, data, code]
    
  
  
  • Stating the Obvious: Extracting Visual Common Sense Knowledge
    Mark Yatskar, Vicente Ordonez, Ali Farhadi
    in Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.
    
  
  
  • Toward a Taxonomy and Computational Models of Abnormalities in Images
    Babak Saleh, Ahmed Elgammal, Jacob Feldman, Ali Farhadi
    in Proceedings of the Conference in Artificial Intelligence (AAAI), 2016.
    [Best Student Paper award]
  
  
  • Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects
    Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, and Ali Farhadi
    in Proceedings of the Conference in Artificial Intelligence (AAAI), 2016.
    
  
  
• 2015
  • Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
    Hamid Izadinia, Fereshteh Sadeghi, Santosh K Divvala, Hannaneh Hajishirzi, Yejin Choi, and Ali Farhadi
    in Proceedings of International Conference on Computer Vision
    (ICCV'15), 2015.
    
  
  
  • Generating Notifications for Missing Actions: Don’t forget to turn the lights off!
    Bilge Soran, Ali Farhadi, and Linda Shapiro
    in Proceedings of International Conference on Computer Vision
    (ICCV'15), 2015.
    
  
  
  • VISALOGY: Answering Visual Analogy Questions
    Fereshteh Sadeghi, Larry Zittnick, and Ali Farhadi
    in Proceedings of Neural Information Processing Systems
    (NIPS'15), 2015.
    
  
  
  • Solving Geometry Problems: Combining Text and Diagram Interpretation
    Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, and Clint Malcolm
    in Proceedings of Empirical Methods in Natural Language Processing
    (EMNLP'15), 2015.
    
  
  
  • VisKE: Visual Knowledge Extraction and Question Answering by Visual Verification of Relation Phrases
    Fereshteh Sadeghi, Santosh K Divvala, Ali Farhadi
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'15), 2015.[Project Page]
    
  
  
  • Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning
    Mohammad Rastegari, Hannaneh Hajishirzi, Ali Farhadi
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'15), 2015.
    
  
  
  • Deep Classifiers from Image Tags in the Wild
    Hamid Izadinia, Bryan C Russell, Ali Farhadi, Matthew D Hoffman, Aaron Hertzmann
    Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions, 2015.
    
  
  
  • Learning to Select and Order Vacation Photographs
    Fereshteh Sadeghi, J Rafael Tena, Ali Farhadi, Leonid Sigal
    (WACV'15), 2015.
    
  
  
• 2014
  • Learning Everything about Anything: Webly-Supervised Visual Concept Learning
    Santosh K Divvala, Ali Farhadi, Carlos Guestrin
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'14), 2014.[Project Page]
    
  
  
  • Incorporating Scene Context and Object Layout into Appearance Modeling
    Hamid Izadinia, Fereshteh Sadeghi, Ali Farhadi
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'14), 2014.
    
  
  
  • Failure Prediction in Vision Systems
    Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, Devi Parikh
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'14), 2014.
    
  
  
  • Towards Transparent Systems: Semantic Characterization of Failure Modes
    Aayush Bansal, Ali Farhadi, Devi Parikh
    in Proceedings of European Conference on Computer Vision
    (ECCV'14), 2014.
    
  
  
  • Salient montages from unconstrained videos
    Min Sun, Ali Farhadi, Ben Taskar, Steve Seitz
    in Proceedings of European Conference on Computer Vision
    (ECCV'14), 2014.
    
  
  
  • Ranking Domain-Specific Highlights by Analyzing Edited Videos
    Min Sun, Ali Farhadi, Steve Seitz
    in Proceedings of European Conference on Computer Vision
    (ECCV'14), 2014.
    
  
  
  • Diagram Understanding in Geometry Questions
    Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni
    in Proceedings of the Conference in Artificial Intelligence
    (AAAI'14), 2014.[Project Page and Demo]
    
  
  
  • Multi Resolution Language Grounding with Weak Supervision
    Rik Koncel Kedziorski, Hannaneh Hajishirzi, and Ali Farhadi
    in Proceedings of the Conference on Empirical Methods in Natural Language Processing
    (EMNLP'14), 2014.
    
  
  
  • Action Recognition in the Presence of One Egocentric and Multiple Static Cameras
    Bilge Soran, Ali Farhadi, Linda Shapiro
    in Proceedings of the Asian Conference on Computer Vision
    (ACCV'14), 2014.
    
  
  
• 2013
  • Multi-Attribute Queries: To Merge or Not to Merge?
    Mohammad Rastegari, Ali Diba, Devi Parikh, Ali Farhadi
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'13), 2013.
    
  
  
  • Object-Centric Anomaly Detection by Attribute-Based Reasoning
    Babak Saleh, Ali Farhadi, Ahmed Elgammal
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'13), 2013.
    
  
  
  • Adding Unlabeled Samples to Categories by Learned Attributes
    Jonghyun Choi, Mohammad Rastegari, Ali Farhadi, Larry Davis
    in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'13), 2013.
    
  
  
• 2012
  • Attribute Discovery via Predictable Discriminative Binary Codes
    Mohammad Rastegari, Ali Farhadi, David Forsyth
    in Proceedings of European Conference on Computer Vision
    (ECCV'12), 2012.
    
  
  
  • Semantic Understanding of Proefessional Soccer Commentaries
    Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, and Jessica Hodgins
    in Proceedings of 28th conference on Uncertainty in Artificial Intelligence
    (UAI'12), 2012.
    
  
  
  • Building a Dictionary of Image Fragments
    Zicheng Liao, Ali Farhadi, Yang Wang, Ian Endres, David Forsyth,
    In proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'12), 2012.
    
  
  
• 2011
  • Understanding Egocentric Activities
    Alireza Fathi, Ali Farhadi,James Rehg
    In proceedings of International Conference on Computer Vision
    (ICCV'11), 2011.
    
  
  
  • Recognition Using Visual Phrases
    Ali Farhadi, Amin Sadeghi
    In proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'11), 2011.
    [Best Student Paper Award]
    
  
  
  • Using Classification to Protect the Integrity of Spectrum Measurements in White Space Networks
    Omid Fatemieh, Ali Farhadi, Ranveer Chandra, Carl Gunter
    In Proceedings of 18th Annual Network & Distributed System Security Symposium
    (NDSS'11) 2011.
    
  
  
• 2010
  • Every Picture Tells a Story: Generating Sentences for Images
    Ali Farhadi, Mohsen Hejrati, Amin Sadeghi, Peter Young, Cyrus Rashtchian, Julia Hockenmaier, David Forsyth
    In proceedings of European conference on Computer Vision
    (ECCV'10), 2010.
    
  
  
  • Attribute-Centric Recognition for Cross-Category Generalization
    Ali Farhadi, Ian Endres, Derek Hoiem
    In proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'10), 2010.
    
  
  
  • The Benefits and Challenges of Collecting Richer Object Annotations
    Ian Endres, Ali Farhadi, Derek Hoiem, and David Forsyth
    In Advancing Computer Vision with Humans in the Loop
    ACVHL 2010 (in conjunction with CVPR), 2010.
    
  
  
  • It's All About the Data
    Tamara L. Berg, Alexander Sorokin, Gang Wang, David A. Forsyth, Derek Hoiem, Ian Endres, Ali Farhadi
    In Proceedings of the IEEE, Special Issue on Internet Vision.
    
  
  
• 2009
  • A Latent Model of Discriminative Aspect,
    Ali Farhadi, Mostafa Kamali, Ian Endres, David Forsyth
    In proceedings of International Conference on Computer Vision
    (ICCV'09), 2009.
    
  
  
  • Unlabeled Data Improves Word Prediction
    Nicolas Loeff, Ali Farhadi, Ian Endres, David Forsyth
    In proceedings of International Conference on Computer Vision
    (ICCV'09), 2009.
    
  
  
  • Describing Objects by their Attributes
    Ali Farhadi, Ian Endres, Derek Hoiem, David Forsyth
    In proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'09), 2009.
    
  
  
  • Book Chapter: Words and Pictures: Categories, Modifiers, Depiction and Iconography
    David Forsyth, Tamara Berg, C. Alm, Ali Farhadi, Julia Hockenmaier, Nicols Loef, Gang Wang, Object Categorization: Computer and Human Vision Perspectives
    Cambridge University Press, 2009.
    
  
  
• 2008 and before
  • Learning to Recognize Activities from a Wrong Viewpoint
    Ali Farhadi and Mostafa Kamali
    In proceedings of European conference on Computer Vision
    (ECCV'08), 2008.
    
  
  
  • Scene Discovery by Matrix Factorization
    Nicolas Loeff and Ali Farhadi
    In proceedings of European conference on Computer Vision
    (ECCV'08), 2008.
    
  
  
  • Transfer Learning in Sign Language
    Ali Farhadi, David Forsyth, and Ryan White
    In proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'07), 2007.
    
  
  
  • Aligning ASL for Statistical Translation Using a Discriminative Word Model
    Ali Farhadi and David Forsyth
    In proceedings of IEEE Conference on Computer Vision and Pattern Recognition
    (CVPR'06), 2006.
    
  
  
  • An Application of Linear Predictive Coding and Computational Geometry to Iris Recognition
    Ali Farhadi, Masoud Alipour, and Nima Razavi
    International Journal of Imaging Systems and Technology, 2006
    
  
  
  • How to Tell the Difference Between a Cat and a Dog?
    Nima Razavi, Golnoosh Samei, Masoud Alipour, and Ali Farhadi
    International Journal of Imaging Systems and Technology, 2006
    
  
  
  • Image Segmentation via Local Higher Order Statistics
    Ali Farhadi and Mehrdad Shahshahani
    International Journal of Imaging Systems and Technology, 2003
    
  
  
  • Higher Order Statistics in Computer Vision
    Ali Farhadi and Mehrdad Shahshahani
    Special Issue of Annals of New York Academy of Sciences, 2002
    
  
  
  • Classification and Detection in Computer Vision
    Ali Farhadi and Mehrdad Shahshahani
    Proceedings of multi-conferences on computer sciences
    (METMBS 2001), 2001