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ORCIDAli Farhadi
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- affiliation: AI2, Allen Institute for Artificial Intelligence, Seattle, WA, USA
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2020 – today
- 2025
[c144]Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, et al.:
OLMoE: Open Mixture-of-Experts Language Models. ICLR 2025- [i135]Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Michal Guerquin, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi:
2 OLMo 2 Furious. CoRR abs/2501.00656 (2025) - [i134]Zaid Khan, Ali Farhadi, Ranjay Krishna, Luca Weihs, Mohit Bansal, Tanmay Gupta
:
MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use. CoRR abs/2502.15872 (2025) - [i133]Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Sruthi Sreeram, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge:
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. CoRR abs/2504.07096 (2025) - [i132]Rundong Luo, Matthew Wallingford, Ali Farhadi, Noah Snavely, Wei-Chiu Ma:
Beyond the Frame: Generating 360° Panoramic Videos from Perspective Videos. CoRR abs/2504.07940 (2025) - [i131]Hongchi Xia, Entong Su, Marius Memmel, Arhan Jain, Raymond Yu, Numfor Mbiziwo-Tiapo, Ali Farhadi, Abhishek Gupta, Shenlong Wang, Wei-Chiu Ma:
DRAWER: Digital Reconstruction and Articulation With Environment Realism. CoRR abs/2504.15278 (2025) - [i130]Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma:
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation. CoRR abs/2504.18509 (2025) - 2024
- [j16]Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari:
Bytes Are All You Need: Transformers Operating Directly On File Bytes. Trans. Mach. Learn. Res. 2024 (2024) - [j15]Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta:
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. 2024 (2024) - [c143]Aaron Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox:
Learning to Build by Building Your Own Instructions. ECCV (89) 2024: 261-278 - [c142]Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna:
Selective Visual Representations Improve Convergence and Generalization for Embodied AI. ICLR 2024 - [c141]Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hanna Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain:
MatFormer: Nested Transformer for Elastic Inference. NeurIPS 2024 - [c140]Mohammadreza Salehi, Jae Sung Park, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hanna Hajishirzi, Ali Farhadi:
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. NeurIPS 2024 - [c139]Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati:
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. NeurIPS 2024 - [c138]Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi:
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos. NeurIPS 2024 - [c137]Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna:
Task Me Anything. NeurIPS 2024 - [i129]Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati:
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. CoRR abs/2405.18400 (2024) - [i128]Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna:
Task Me Anything. CoRR abs/2406.11775 (2024) - [i127]Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi:
OLMoE: Open Mixture-of-Experts Language Models. CoRR abs/2409.02060 (2024) - [i126]Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martin Martin, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani:
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning. CoRR abs/2409.16578 (2024) - [i125]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - [i124]Aaron Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox:
Learning to Build by Building Your Own Instructions. CoRR abs/2410.01111 (2024) - [i123]Mohammadreza Salehi, Jae Sung Park, Tanush Yadav, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi:
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. CoRR abs/2410.05774 (2024) - [i122]Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Sham M. Kakade, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi:
From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos. CoRR abs/2412.07770 (2024) - [i121]Ainaz Eftekhar, Luca Weihs, Rose Hendrix, Ege Caglar, Jordi Salvador, Alvaro Herrasti, Winson Han, Eli VanderBilt, Aniruddha Kembhavi, Ali Farhadi, Ranjay Krishna, Kiana Ehsani, Kuo-Hao Zeng:
The One RING: a Robotic Indoor Navigation Generalist. CoRR abs/2412.14401 (2024) - [i120]Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan, Luke Zettlemoyer, Ali Farhadi:
When Worse is Better: Navigating the compression-generation tradeoff in visual tokenization. CoRR abs/2412.16326 (2024) - 2023
- [j14]Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi:
FLUID: A Unified Evaluation Framework for Flexible Sequential Data. Trans. Mach. Learn. Res. 2023 (2023) - [j13]Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos:
lo-fi: distributed fine-tuning without communication. Trans. Mach. Learn. Res. 2023 (2023) - [c136]Mario Srouji, Hugues Thomas, Yao-Hung Hubert Tsai, Ali Farhadi, Jian Zhang:
SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning. CASE 2023: 1-8 - [c135]Matt Deitke, Rose Hendrix, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi:
Phone2Proc: Bringing Robust Robots into Our Chaotic World. CVPR 2023: 9665-9675 - [c134]Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi:
Objaverse: A Universe of Annotated 3D Objects. CVPR 2023: 13142-13153 - [c133]Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi:
SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. EMNLP (Findings) 2023: 10519-10532 - [c132]Sarah M. Pratt, Ian Covert, Rosanne Liu, Ali Farhadi:
What does a platypus look like? Generating customized prompts for zero-shot image classification. ICCV 2023: 15645-15655 - [c131]Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel:
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. ICCV 2023: 16986-16997 - [c130]Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi:
Editing models with task arithmetic. ICLR 2023 - [c129]Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
FastFill: Efficient Compatible Model Update. ICLR 2023 - [c128]Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi:
Neural Radiance Field Codebooks. ICLR 2023 - [c127]Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi:
Impossibly Good Experts and How to Follow Them. ICLR 2023 - [c126]Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi:
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics. ICLR 2023 - [c125]So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang:
Self-Supervised Object Goal Navigation with In-Situ Finetuning. IROS 2023: 7119-7126 - [c124]Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi:
Objaverse-XL: A Universe of 10M+ 3D Objects. NeurIPS 2023 - [c123]Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. NeurIPS 2023 - [c122]Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi:
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS 2023 - [c121]Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ali Farhadi, Ludwig Schmidt:
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness. NeurIPS 2023 - [c120]Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi:
AdANNS: A Framework for Adaptive Semantic Search. NeurIPS 2023 - [c119]Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi:
Neural Priming for Sample-Efficient Adaptation. NeurIPS 2023 - [c118]Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt:
Stable and low-precision training for large-scale vision-language models. NeurIPS 2023 - [i119]Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi:
Neural Radiance Field Codebooks. CoRR abs/2301.04101 (2023) - [i118]Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
FastFill: Efficient Compatible Model Update. CoRR abs/2303.04766 (2023) - [i117]Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel:
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. CoRR abs/2303.08983 (2023) - [i116]Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi:
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics. CoRR abs/2304.12289 (2023) - [i115]Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt:
Stable and low-precision training for large-scale vision-language models. CoRR abs/2304.13013 (2023) - [i114]Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. CoRR abs/2304.14108 (2023) - [i113]Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi:
AdANNS: A Framework for Adaptive Semantic Search. CoRR abs/2305.19435 (2023) - [i112]Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari:
Bytes Are All You Need: Transformers Operating Directly On File Bytes. CoRR abs/2306.00238 (2023) - [i111]Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi:
Neural Priming for Sample-Efficient Adaptation. CoRR abs/2306.10191 (2023) - [i110]Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi:
Objaverse-XL: A Universe of 10M+ 3D Objects. CoRR abs/2307.05663 (2023) - [i109]Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ludwig Schmidt, Ali Farhadi:
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness. CoRR abs/2307.12532 (2023) - [i108]Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain:
MatFormer: Nested Transformer for Elastic Inference. CoRR abs/2310.07707 (2023) - [i107]Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi:
SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks. CoRR abs/2310.12126 (2023) - [i106]Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta:
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR abs/2310.14108 (2023) - [i105]Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna:
Selective Visual Representations Improve Convergence and Generalization for Embodied AI. CoRR abs/2311.04193 (2023) - [i104]Ethan Shen, Ali Farhadi, Aditya Kusupati:
Are "Hierarchical" Visual Representations Hierarchical? CoRR abs/2311.05784 (2023) - [i103]Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi:
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR abs/2312.04837 (2023) - 2022
- [c117]Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt:
Robust fine-tuning of zero-shot models. CVPR 2022: 7949-7961 - [c116]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. CVPR 2022: 16354-16366 - [c115]Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
Forward Compatible Training for Large-Scale Embedding Retrieval Systems. CVPR 2022: 19364-19373 - [c114]Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox:
Break and Make: Interactive Structural Understanding Using LEGO Bricks. ECCV (28) 2022: 90-107 - [c113]Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi:
Object Manipulation via Visual Target Localization. ECCV (39) 2022: 321-337 - [c112]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. ICML 2022: 23965-23998 - [c111]Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari:
Layer-Wise Data-Free CNN Compression. ICPR 2022: 2019-2026 - [c110]Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach:
Exposing the Limits of Video-Text Models through Contrast Sets. NAACL-HLT 2022: 3574-3586 - [c109]Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt:
Patching open-vocabulary models by interpolating weights. NeurIPS 2022 - [c108]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 Representation Learning. NeurIPS 2022 - [i102]Sarah M. Pratt, Luca Weihs, Ali Farhadi:
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents. CoRR abs/2201.00411 (2022) - [i101]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) - [i100]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) - [i99]Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi:
Object Manipulation via Visual Target Localization. CoRR abs/2203.08141 (2022) - [i98]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) - [i97]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) - [i96]Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox:
Break and Make: Interactive Structural Understanding Using LEGO Bricks. CoRR abs/2207.13738 (2022) - [i95]Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt:
Patching open-vocabulary models by interpolating weights. CoRR abs/2208.05592 (2022) - [i94]Sarah M. Pratt, Rosanne Liu, Ali Farhadi:
What does a platypus look like? Generating customized prompts for zero-shot image classification. CoRR abs/2209.03320 (2022) - [i93]Mario Srouji, Wei Ding, Yao-Hung Hubert Tsai, Ali Farhadi, Jian Zhang:
Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance. CoRR abs/2209.11789 (2022) - [i92]Yao-Hung Hubert Tsai, Hanlin Goh, Ali Farhadi, Jian Zhang:
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents. CoRR abs/2209.13156 (2022) - [i91]Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i90]Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos:
lo-fi: distributed fine-tuning without communication. CoRR abs/2210.11948 (2022) - [i89]Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi:
Editing Models with Task Arithmetic. CoRR abs/2212.04089 (2022) - [i88]Matt Deitke, Rose Hendrix, Luca Weihs, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi:
Phone2Proc: Bringing Robust Robots Into Our Chaotic World. CoRR abs/2212.04819 (2022) - [i87]So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang:
Object Goal Navigation with End-to-End Self-Supervision. CoRR abs/2212.05923 (2022) - [i86]Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi:
Objaverse: A Universe of Annotated 3D Objects. CoRR abs/2212.08051 (2022) - [i85]Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari:
RangeAugment: Efficient Online Augmentation with Range Learning. CoRR abs/2212.10553 (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]Daniel Gordon, Ali Farhadi, Dieter Fox:
Re3 : Real-Time Recurrent Regression Networks for Object Tracking. CoRR abs/1705.06368 (2017) - [i31]Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi:
Visual Semantic Planning using Deep Successor Representations. CoRR abs/1705.08080 (2017) - [i30]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. CoRR abs/1709.05939 (2017) - [i29]Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi:
Neural Speed Reading via Skim-RNN. CoRR abs/1711.02085 (2017) - [i28]Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi:
Structured Set Matching Networks for One-Shot Part Labeling. CoRR abs/1712.01867 (2017) - [i27]Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi:
IQA: Visual Question Answering in Interactive Environments. CoRR abs/1712.03316 (2017) - [i26]Eric Kolve, Roozbeh Mottaghi, Daniel Gordon, Yuke Zhu, Abhinav Gupta, Ali Farhadi:
AI2-THOR: An Interactive 3D Environment for Visual AI. CoRR abs/1712.05474 (2017) - 2016
- [j6]Min Sun, Ali Farhadi, Tseng-Hung Chen, Steven M. Seitz:
Ranking Highlights in Personal Videos by Analyzing Edited Videos. IEEE Trans. Image Process. 25(11): 5145-5157 (2016) - [c53]Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects. AAAI 2016: 3449-3456 - [c52]Babak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi:
Toward a Taxonomy and Computational Models of Abnormalities in Images. AAAI 2016: 3588-3596 - [c51]Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, Ali Farhadi:
You Only Look Once: Unified, Real-Time Object Detection. CVPR 2016: 779-788 - [c50]Roozbeh Mottaghi, Hannaneh Hajishirzi, Ali Farhadi:
A Task-Oriented Approach for Cost-Sensitive Recognition. CVPR 2016: 2203-2211 - [c49]Xiaolong Wang, Ali Farhadi, Abhinav Gupta:
Actions ~ Transformations. CVPR 2016: 2658-2667 - [c48]Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images. CVPR 2016: 3521-3529 - [c47]Mark Yatskar, Luke Zettlemoyer, Ali Farhadi:
Situation Recognition: Visual Semantic Role Labeling for Image Understanding. CVPR 2016: 5534-5542 - [c46]Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi:
A Diagram is Worth a Dozen Images. ECCV (4) 2016: 235-251 - [c45]Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi:
"What Happens If..." Learning to Predict the Effect of Forces in Images. ECCV (4) 2016: 269-285 - [c44]Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. ECCV (1) 2016: 510-526 - [c43]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. ECCV (4) 2016: 525-542 - [c42]Noah Siegel, Zachary Horvitz, Roie Levin, Santosh Kumar Divvala, Ali Farhadi:
FigureSeer: Parsing Result-Figures in Research Papers. ECCV (7) 2016: 664-680 - [c41]Junyuan Xie, Ross B. Girshick, Ali Farhadi:
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks. ECCV (4) 2016: 842-857 - [c40]Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Much Ado About Time: Exhaustive Annotation of Temporal Data. HCOMP 2016: 219-228 - [c39]Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi, Min Sun:
Semantic highlight retrieval. ICIP 2016: 3359-3363 - [c38]Junyuan Xie, Ross B. Girshick, Ali Farhadi:
Unsupervised Deep Embedding for Clustering Analysis. ICML 2016: 478-487 - [c37]Mark Yatskar, Vicente Ordonez, Ali Farhadi:
Stating the Obvious: Extracting Visual Common Sense Knowledge. HLT-NAACL 2016: 193-198 - [i25]Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects. CoRR abs/1602.00753 (2016) - [i24]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. CoRR abs/1603.05279 (2016) - [i23]Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi:
"What happens if..." Learning to Predict the Effect of Forces in Images. CoRR abs/1603.05600 (2016) - [i22]Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi:
A Diagram Is Worth A Dozen Images. CoRR abs/1603.07396 (2016) - [i21]Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. CoRR abs/1604.01753 (2016) - [i20]Junyuan Xie, Ross B. Girshick, Ali Farhadi:
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks. CoRR abs/1604.03650 (2016) - [i19]Vincent T. Lee, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin, Ali Farhadi:
NCAM: Near-Data Processing for Nearest Neighbor Search. CoRR abs/1606.03742 (2016) - [i18]Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi:
Query-Regression Networks for Machine Comprehension. CoRR abs/1606.04582 (2016) - [i17]Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Much Ado About Time: Exhaustive Annotation of Temporal Data. CoRR abs/1607.07429 (2016) - [i16]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. CoRR abs/1609.05143 (2016) - [i15]Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi:
Bidirectional Attention Flow for Machine Comprehension. CoRR abs/1611.01603 (2016) - [i14]Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
LCNN: Lookup-based Convolutional Neural Network. CoRR abs/1611.06473 (2016) - [i13]Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi:
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CoRR abs/1612.00901 (2016) - [i12]Gunnar A. Sigurdsson, Santosh Kumar Divvala, Ali Farhadi, Abhinav Gupta:
Asynchronous Temporal Fields for Action Recognition. CoRR abs/1612.06371 (2016) - [i11]Joseph Redmon, Ali Farhadi:
YOLO9000: Better, Faster, Stronger. CoRR abs/1612.08242 (2016) - 2015
- [c36]Mohammad Rastegari, Hannaneh Hajishirzi, Ali Farhadi:
Discriminative and consistent similarities in instance-level Multiple Instance Learning. CVPR 2015: 740-748 - [c35]Fereshteh Sadeghi, Santosh Kumar Divvala, Ali Farhadi:
VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases. CVPR 2015: 1456-1464 - [c34]Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, Clint Malcolm:
Solving Geometry Problems: Combining Text and Diagram Interpretation. EMNLP 2015: 1466-1476 - [c33]Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. ICCV 2015: 10-18 - [c32]Bilge Soran, Ali Farhadi, Linda G. Shapiro:
Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off! ICCV 2015: 4669-4677 - [c31]Hamid Izadinia, Bryan C. Russell, Ali Farhadi, Matthew D. Hoffman, Aaron Hertzmann:
Deep Classifiers from Image Tags in the Wild. MMCommons@ACM Multimedia 2015: 13-18 - [c30]Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi:
Visalogy: Answering Visual Analogy Questions. NIPS 2015: 1882-1890 - [c29]Fereshteh Sadeghi, J. Rafael Tena, Ali Farhadi, Leonid Sigal:
Learning to Select and Order Vacation Photographs. WACV 2015: 510-517 - [r1]Mehdi Mousavi, Alireza Azarbakht, Sahar Rahpeyma, Ali Farhadi:
On the Application of Genetic Programming for New Generation of Ground Motion Prediction Equations. Handbook of Genetic Programming Applications 2015: 289-307 - [i10]Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, Ali Farhadi:
You Only Look Once: Unified, Real-Time Object Detection. CoRR abs/1506.02640 (2015) - [i9]Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Yejin Choi, Ali Farhadi:
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. CoRR abs/1509.08075 (2015) - [i8]Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi:
VISALOGY: Answering Visual Analogy Questions. CoRR abs/1510.08973 (2015) - [i7]Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images. CoRR abs/1511.04048 (2015) - [i6]Junyuan Xie, Ross B. Girshick, Ali Farhadi:
Unsupervised Deep Embedding for Clustering Analysis. CoRR abs/1511.06335 (2015) - [i5]Xiaolong Wang, Ali Farhadi, Abhinav Gupta:
Actions ~ Transformations. CoRR abs/1512.00795 (2015) - [i4]Babak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi:
Toward a Taxonomy and Computational Models of Abnormalities in Images. CoRR abs/1512.01325 (2015) - 2014
- [c28]Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni:
Diagram Understanding in Geometry Questions. AAAI 2014: 2831-2838 - [c27]Bilge Soran, Ali Farhadi, Linda G. Shapiro:
Action Recognition in the Presence of One Egocentric and Multiple Static Cameras. ACCV (5) 2014: 178-193 - [c26]Hamid Izadinia, Fereshteh Sadeghi, Ali Farhadi:
Incorporating Scene Context and Object Layout into Appearance Modeling. CVPR 2014: 232-239 - [c25]Santosh Kumar Divvala, Ali Farhadi, Carlos Guestrin:
Learning Everything about Anything: Webly-Supervised Visual Concept Learning. CVPR 2014: 3270-3277 - [c24]Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, Devi Parikh:
Predicting Failures of Vision Systems. CVPR 2014: 3566-3573 - [c23]Aayush Bansal, Ali Farhadi, Devi Parikh:
Towards Transparent Systems: Semantic Characterization of Failure Modes. ECCV (6) 2014: 366-381 - [c22]Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz:
Salient Montages from Unconstrained Videos. ECCV (7) 2014: 472-488 - [c21]Min Sun, Ali Farhadi, Steven M. Seitz:
Ranking Domain-Specific Highlights by Analyzing Edited Videos. ECCV (1) 2014: 787-802 - [c20]Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ali Farhadi:
Multi-Resolution Language Grounding with Weak Supervision. EMNLP 2014: 386-396 - [i3]Babak Saleh, Ali Farhadi, Ahmed M. Elgammal:
Abnormal Object Recognition: A Comprehensive Study. CoRR abs/1411.2214 (2014) - [i2]Hamid Izadinia, Ali Farhadi, Aaron Hertzmann, Matthew D. Hoffman:
Image Classification and Retrieval from User-Supplied Tags. CoRR abs/1411.6909 (2014) - 2013
- [j5]Ali Farhadi, Mohammad Amin Sadeghi:
Phrasal Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2854-2865 (2013) - [c19]Babak Saleh, Ali Farhadi, Ahmed M. Elgammal:
Object-Centric Anomaly Detection by Attribute-Based Reasoning. CVPR 2013: 787-794 - [c18]Jonghyun Choi, Mohammad Rastegari, Ali Farhadi, Larry S. Davis:
Adding Unlabeled Samples to Categories by Learned Attributes. CVPR 2013: 875-882 - [c17]Mohammad Rastegari, Ali Diba, Devi Parikh, Ali Farhadi:
Multi-attribute Queries: To Merge or Not to Merge? CVPR 2013: 3310-3317 - 2012
- [c16]Zicheng Liao, Ali Farhadi, Yang Wang, Ian Endres, David A. Forsyth:
Building a dictionary of image fragments. CVPR 2012: 3442-3449 - [c15]Mohammad Rastegari, Ali Farhadi, David A. Forsyth:
Attribute Discovery via Predictable Discriminative Binary Codes. ECCV (6) 2012: 876-889 - [c14]Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins:
Semantic Understanding of Professional Soccer Commentaries. UAI 2012: 326-335 - [i1]Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins:
Semantic Understanding of Professional Soccer Commentaries. CoRR abs/1210.4854 (2012) - 2011
- [b1]Ali Farhadi:
Designing representational architectures in recognition. University of Illinois Urbana-Champaign, USA, 2011 - [c13]Mohammad Amin Sadeghi, Ali Farhadi:
Recognition using visual phrases. CVPR 2011: 1745-1752 - [c12]Alireza Fathi, Ali Farhadi, James M. Rehg:
Understanding egocentric activities. ICCV 2011: 407-414 - [c11]Omid Fatemieh, Ali Farhadi, Ranveer Chandra, Carl A. Gunter:
Using Classification to Protect the Integrity of Spectrum Measurements in White Space Networks. NDSS 2011 - 2010
- [j4]Tamara L. Berg, Alexander Sorokin, Gang Wang, David A. Forsyth, Derek Hoiem, Ian Endres, Ali Farhadi:
It's All About the Data. Proc. IEEE 98(8): 1434-1452 (2010) - [c10]Ian Endres, Ali Farhadi, Derek Hoiem, David A. Forsyth:
The benefits and challenges of collecting richer object annotations. CVPR Workshops 2010: 1-8 - [c9]Ali Farhadi, Ian Endres, Derek Hoiem:
Attribute-centric recognition for cross-category generalization. CVPR 2010: 2352-2359 - [c8]Ali Farhadi, Seyyed Mohammad Mohsen Hejrati, Mohammad Amin Sadeghi, Peter Young, Cyrus Rashtchian, Julia Hockenmaier, David A. Forsyth:
Every Picture Tells a Story: Generating Sentences from Images. ECCV (4) 2010: 15-29
2000 – 2009
- 2009
- [c7]Ali Farhadi, Ian Endres, Derek Hoiem, David A. Forsyth:
Describing objects by their attributes. CVPR 2009: 1778-1785 - [c6]Ali Farhadi, Mostafa Kamali Tabrizi, Ian Endres, David A. Forsyth:
A latent model of discriminative aspect. ICCV 2009: 948-955 - [c5]Nicolas Loeff, Ali Farhadi, Ian Endres, David A. Forsyth:
Unlabeled data improvesword prediction. ICCV 2009: 956-962 - 2008
- [c4]Ali Farhadi, Mostafa Kamali Tabrizi:
Learning to Recognize Activities from the Wrong View Point. ECCV (1) 2008: 154-166 - [c3]Nicolas Loeff, Ali Farhadi:
Scene Discovery by Matrix Factorization. ECCV (4) 2008: 451-464 - 2007
- [c2]Ali Farhadi, David A. Forsyth, Ryan White:
Transfer Learning in Sign language. CVPR 2007 - 2006
- [j3]Masoud Alipour, Ali Farhadi, Nima Razavi:
An application of linear predictive coding and computational geometry to iris recognition. Int. J. Imaging Syst. Technol. 16(5): 230-233 (2006) - [j2]Nima Razavi, Golnoosh Samei, Masoud Alipour, Ali Farhadi:
How to tell the difference between a cat and a dog? Int. J. Imaging Syst. Technol. 16(5): 234-239 (2006) - [c1]Ali Farhadi, David A. Forsyth:
Aligning ASL for Statistical Translation Using a Discriminative Word Model. CVPR (2) 2006: 1471-1476 - 2003
- [j1]Ali Farhadi, Mehrdad Shahshahani:
Image segmentation via local higher order statistics. Int. J. Imaging Syst. Technol. 13(4): 215-223 (2003)
Coauthor Index
Hannaneh Hajishirzi
aka: Hanna Hajishirzi
aka: Hanna Hajishirzi
[i130] [c142] [c138] [c137] [i128] [i126] [i125] [i122] [i121] [j14] [c135] [c134] [c128] [c124] [c119] [i119] [i111] [i110] [i105] [c113] [i99] [i97] [i91] [i88] [i86] [c107] [c104] [c102] [i82] [i76] [c95] [c93] [c91] [c90] [c87] [i70] [i68] [i65] [i64] [i63] [c83] [c81] [i58] [i50] [i48] [c73] [c71] [c67] [i44] [i35] [c63] [c57] [i28] [i27] [c46] [i22] [i15]
Minjoon Seo
aka: Min Joon Seo
aka: Min Joon Seo
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