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ORCIDAli Farhadi
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- affiliation: AI2, Allen Institute for Artificial Intelligence, Seattle, US
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2020 – today
- 2022
[i90]Sarah M. Pratt, Luca Weihs, Ali Farhadi:
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents. CoRR abs/2201.00411 (2022)- [i89]Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR abs/2201.02639 (2022) - [i88]Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt:
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. CoRR abs/2203.05482 (2022) - [i87]Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi:
Object Manipulation via Visual Target Localization. CoRR abs/2203.08141 (2022) - [i86]Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi:
Matryoshka Representations for Adaptive Deployment. CoRR abs/2205.13147 (2022) - [i85]Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi:
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation. CoRR abs/2206.06994 (2022) - 2021
- [j12]Mostafa Gandomi, Ali R. Kashani
, Ali Farhadi, Mohsen Akhani, Amir H. Gandomi:
Spectral acceleration prediction using genetic programming based approaches. Appl. Soft Comput. 106: 107326 (2021) - [c107]Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. ACL/IJCNLP (1) 2021: 2040-2050 - [c106]Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox:
LanguageRefer: Spatial-Language Model for 3D Visual Grounding. CoRL 2021: 1046-1056 - [c105]Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi:
Pushing It Out of the Way: Interactive Visual Navigation. CVPR 2021: 9868-9877 - [c104]Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi:
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. EMNLP (1) 2021: 1864-1886 - [c103]Kiana Ehsani, Daniel Gordon, Thomas Hai Dang Nguyen, Roozbeh Mottaghi, Ali Farhadi:
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions. ICLR 2021 - [c102]Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M. Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi:
Learning Generalizable Visual Representations via Interactive Gameplay. ICLR 2021 - [c101]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. ICML 2021: 11217-11227 - [c100]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT 2021: 4856-4880 - [c99]Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi:
Probing Contextual Language Models for Common Ground with Visual Representations. NAACL-HLT 2021: 5367-5377 - [c98]Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi:
MERLOT: Multimodal Neural Script Knowledge Models. NeurIPS 2021: 23634-23651 - [c97]Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi:
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. NeurIPS 2021: 23900-23913 - [i84]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. CoRR abs/2102.10472 (2021) - [i83]Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi:
Pushing it out of the Way: Interactive Visual Navigation. CoRR abs/2104.14040 (2021) - [i82]Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. CoRR abs/2106.00188 (2021) - [i81]Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi:
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. CoRR abs/2106.01487 (2021) - [i80]Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi:
MERLOT: Multimodal Neural Script Knowledge Models. CoRR abs/2106.02636 (2021) - [i79]Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox:
LanguageRefer: Spatial-Language Model for 3D Visual Grounding. CoRR abs/2107.03438 (2021) - [i78]Mitchell Wortsman, Gabriel Ilharco, Mike Li, Jong Wook Kim, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt:
Robust fine-tuning of zero-shot models. CoRR abs/2109.01903 (2021) - [i77]Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari:
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time. CoRR abs/2110.04252 (2021) - [i76]Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi:
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. CoRR abs/2112.00800 (2021) - [i75]Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
Forward Compatible Training for Representation Learning. CoRR abs/2112.02805 (2021) - 2020
- [j11]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
Enabling AI at the edge with XNOR-networks. Commun. ACM 63(12): 83-90 (2020) - [c96]Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta:
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. CVPR 2020: 221-230 - [c95]Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi:
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. CVPR 2020: 3161-3171 - [c94]Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi:
Visual Reaction: Learning to Play Catch With Your Drone. CVPR 2020: 11570-11579 - [c93]Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari:
What's Hidden in a Randomly Weighted Neural Network? CVPR 2020: 11890-11899 - [c92]Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CVPR 2020: 12021-12030 - [c91]Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi:
Grounded Situation Recognition. ECCV (4) 2020: 314-332 - [c90]Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks. ECCV (5) 2020: 471-490 - [c89]Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi:
VisualCOMET: Reasoning About the Dynamic Context of a Still Image. ECCV (5) 2020: 508-524 - [c88]Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi:
Soft Threshold Weight Reparameterization for Learnable Sparsity. ICML 2020: 5544-5555 - [c87]Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi:
Supermasks in Superposition. NeurIPS 2020 - [i74]Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi:
Soft Threshold Weight Reparameterization for Learnable Sparsity. CoRR abs/2002.03231 (2020) - [i73]Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith:
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. CoRR abs/2002.06305 (2020) - [i72]Daniel Gordon, Kiana Ehsani, Dieter Fox, Ali Farhadi:
Watching the World Go By: Representation Learning from Unlabeled Videos. CoRR abs/2003.07990 (2020) - [i71]Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta:
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. CoRR abs/2003.12045 (2020) - [i70]Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi:
Grounded Situation Recognition. CoRR abs/2003.12058 (2020) - [i69]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
Evaluating Machines by their Real-World Language Use. CoRR abs/2004.03607 (2020) - [i68]Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi:
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. CoRR abs/2004.06799 (2020) - [i67]Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi:
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image. CoRR abs/2004.10796 (2020) - [i66]Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi:
Probing Text Models for Common Ground with Visual Representations. CoRR abs/2005.00619 (2020) - [i65]Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi:
Supermasks in Superposition. CoRR abs/2006.14769 (2020) - [i64]Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi:
In the Wild: From ML Models to Pragmatic ML Systems. CoRR abs/2007.02519 (2020) - [i63]Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing:
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks. CoRR abs/2007.04979 (2020) - [i62]Kiana Ehsani, Daniel Gordon, Thomas Hai Dang Nguyen, Roozbeh Mottaghi, Ali Farhadi:
What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions. CoRR abs/2010.08539 (2020) - [i61]Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari:
Layer-Wise Data-Free CNN Compression. CoRR abs/2011.09058 (2020)
2010 – 2019
- 2019
- [c86]Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi:
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. ACL (1) 2019: 4430-4441 - [c85]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? ACL (1) 2019: 4791-4800 - [c84]Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox:
Conditional Driving from Natural Language Instructions. CoRL 2019: 540-551 - [c83]Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari:
ELASTIC: Improving CNNs With Dynamic Scaling Policies. CVPR 2019: 2258-2267 - [c82]Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. CVPR 2019: 3195-3204 - [c81]Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. CVPR 2019: 6689-6699 - [c80]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CVPR 2019: 6720-6731 - [c79]Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. CVPR 2019: 6750-6759 - [c78]Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi:
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph. CVPR 2019: 10424-10433 - [c77]Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi:
Visual Semantic Navigation using Scene Priors. ICLR (Poster) 2019 - [c76]Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari:
Discovering Neural Wirings. NeurIPS 2019: 2680-2690 - [c75]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. NeurIPS 2019: 9051-9062 - [i60]Daniel Gordon, Dieter Fox, Ali Farhadi:
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning. CoRR abs/1901.01492 (2019) - [i59]Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi:
Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph. CoRR abs/1903.10547 (2019) - [i58]Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. CoRR abs/1904.05879 (2019) - [i57]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? CoRR abs/1905.07830 (2019) - [i56]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. CoRR abs/1905.12616 (2019) - [i55]Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. CoRR abs/1906.00067 (2019) - [i54]Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari:
Discovering Neural Wirings. CoRR abs/1906.00586 (2019) - [i53]Keivan Alizadeh, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CoRR abs/1906.02256 (2019) - [i52]Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi:
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. CoRR abs/1906.05807 (2019) - [i51]Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox:
Conditional Driving from Natural Language Instructions. CoRR abs/1910.07615 (2019) - [i50]Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari:
What's Hidden in a Randomly Weighted Neural Network? CoRR abs/1911.13299 (2019) - [i49]Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi:
Visual Reaction: Learning to Play Catch with Your Drone. CoRR abs/1912.02155 (2019) - [i48]Luca Weihs, Aniruddha Kembhavi, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi:
Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game. CoRR abs/1912.08195 (2019) - 2018
- [j10]Daniel Gordon, Ali Farhadi, Dieter Fox:
Re3: Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects. IEEE Robotics Autom. Lett. 3(2): 788-795 (2018) - [j9]Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steven M. Seitz:
PhotoShape: photorealistic materials for large-scale shape collections. ACM Trans. Graph. 37(6): 192 (2018) - [c74]Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton:
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. AAAI 2018: 2524-2531 - [c73]Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi:
Structured Set Matching Networks for One-Shot Part Labeling. CVPR 2018: 3627-3636 - [c72]Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi:
Who Let the Dogs Out? Modeling Dog Behavior From Visual Data. CVPR 2018: 4051-4060 - [c71]Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi:
IQA: Visual Question Answering in Interactive Environments. CVPR 2018: 4089-4098 - [c70]Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi:
SeGAN: Segmenting and Generating the Invisible. CVPR 2018: 6144-6153 - [c69]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CVPR 2018: 7396-7404 - [c68]Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee:
DOCK: Detecting Objects by Transferring Common-Sense Knowledge. ECCV (13) 2018: 506-522 - [c67]Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi:
Imagine This! Scripts to Compositions to Videos. ECCV (8) 2018: 610-626 - [c66]Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi:
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. EMNLP 2018: 559-564 - [c65]Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi:
Neural Speed Reading via Skim-RNN. ICLR (Poster) 2018 - [i47]Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi:
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data. CoRR abs/1803.10827 (2018) - [i46]Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee:
Transferring Common-Sense Knowledge for Object Detection. CoRR abs/1804.01077 (2018) - [i45]Joseph Redmon, Ali Farhadi:
YOLOv3: An Incremental Improvement. CoRR abs/1804.02767 (2018) - [i44]Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi:
Imagine This! Scripts to Compositions to Videos. CoRR abs/1804.03608 (2018) - [i43]Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi:
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. CoRR abs/1804.07726 (2018) - [i42]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos. CoRR abs/1804.09626 (2018) - [i41]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CoRR abs/1804.09627 (2018) - [i40]Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, Ali Farhadi:
Label Refinery: Improving ImageNet Classification through Label Progression. CoRR abs/1805.02641 (2018) - [i39]Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steven M. Seitz:
PhotoShape: Photorealistic Materials for Large-Scale Shape Collections. CoRR abs/1809.09761 (2018) - [i38]Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi:
Visual Semantic Navigation using Scene Priors. CoRR abs/1810.06543 (2018) - [i37]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CoRR abs/1811.10830 (2018) - [i36]Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. CoRR abs/1812.00971 (2018) - [i35]Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari:
ELASTIC: Improving CNNs with Instance Specific Scaling Policies. CoRR abs/1812.05262 (2018) - 2017
- [j8]Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz:
Summarizing Unconstrained Videos Using Salient Montages. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2256-2269 (2017) - [j7]Min Sun, Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi:
Semantic Highlight Retrieval and Term Prediction. IEEE Trans. Image Process. 26(7): 3303-3316 (2017) - [c64]Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
LCNN: Lookup-Based Convolutional Neural Network. CVPR 2017: 860-869 - [c63]Aniruddha Kembhavi, Min Joon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi:
Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension. CVPR 2017: 5376-5384 - [c62]Gunnar A. Sigurdsson, Santosh Kumar Divvala, Ali Farhadi, Abhinav Gupta:
Asynchronous Temporal Fields for Action Recognition. CVPR 2017: 5650-5659 - [c61]Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi:
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CVPR 2017: 6335-6344 - [c60]Joseph Redmon, Ali Farhadi:
YOLO9000: Better, Faster, Stronger. CVPR 2017: 6517-6525 - [c59]Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi:
Visual Semantic Planning Using Deep Successor Representations. ICCV 2017: 483-492 - [c58]Roozbeh Mottaghi, Connor Schenck, Dieter Fox, Ali Farhadi:
See the Glass Half Full: Reasoning About Liquid Containers, Their Volume and Content. ICCV 2017: 1889-1898 - [c57]Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi:
Bidirectional Attention Flow for Machine Comprehension. ICLR (Poster) 2017 - [c56]Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi:
Query-Reduction Networks for Question Answering. ICLR (Poster) 2017 - [c55]Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi:
Target-driven visual navigation in indoor scenes using deep reinforcement learning. ICRA 2017: 3357-3364 - [c54]Ali Farhadi:
Toward visual intelligence. TIML@ISCA 2017: 7 - [i34]Roozbeh Mottaghi, Connor Schenck, Dieter Fox, Ali Farhadi:
See the Glass Half Full: Reasoning about Liquid Containers, their Volume and Content. CoRR abs/1701.02718 (2017) - [i33]Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi:
SeGAN: Segmenting and Generating the Invisible. CoRR abs/1703.10239 (2017) - [i32]