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ORCIDMohammad Rastegari
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- affiliation: AI2, Allen Institute for Artificial Intelligence, Seattle, USA
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2020 – today
- 2024
[j6]Minsik Cho
, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal:
eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. IEEE Comput. Archit. Lett. 23(1): 37-40 (2024)- [j5]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) - [j4]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) - [c47]Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar:
LLM in a flash: Efficient Large Language Model Inference with Limited Memory. ACL (1) 2024: 12562-12584 - [c46]Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari:
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CVPR Workshops 2024: 3635-3647 - [c45]Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar:
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR 2024 - [c44]Minsik Cho, Mohammad Rastegari, Devang Naik:
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. ICML 2024 - [c43]Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi:
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. ICML 2024 - [c42]Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel:
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. ICML 2024 - [i56]Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi:
Speculative Streaming: Fast LLM Inference without Auxiliary Models. CoRR abs/2402.11131 (2024) - [i55]Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi:
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. CoRR abs/2404.06910 (2024) - [i54]Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Seyed-Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari:
OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. CoRR abs/2404.14619 (2024) - [i53]Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari:
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. CoRR abs/2404.15653 (2024) - [i52]Minsik Cho, Mohammad Rastegari, Devang Naik:
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. CoRR abs/2405.05329 (2024) - [i51]Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi:
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. CoRR abs/2407.14057 (2024) - [i50]Maxwell Horton, Qingqing Cao, Chenfan Sun, Yanzi Jin, Sachin Mehta, Mohammad Rastegari, Moin Nabi:
KV Prediction for Improved Time to First Token. CoRR abs/2410.08391 (2024) - [i49]Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi:
SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. CoRR abs/2410.10714 (2024) - 2023
- [j3]Sachin Mehta, Mohammad Rastegari:
Separable Self-attention for Mobile Vision Transformers. Trans. Mach. Learn. Res. 2023 (2023) - [c41]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 - [c40]Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel:
Token Pooling in Vision Transformers for Image Classification. WACV 2023: 12-21 - [i48]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) - [i47]Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari:
Bytes Are All You Need: Transformers Operating Directly On File Bytes. CoRR abs/2306.00238 (2023) - [i46]Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal:
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models. CoRR abs/2309.00964 (2023) - [i45]Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton:
On the Efficacy of Multi-scale Data Samplers for Vision Applications. CoRR abs/2309.04502 (2023) - [i44]Duc N. M. Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang Wang:
(Dynamic) Prompting might be all you need to repair Compressed LLMs. CoRR abs/2310.00867 (2023) - [i43]Elvis Nunez, Yanzi Jin, Mohammad Rastegari, Sachin Mehta, Maxwell Horton:
Diffusion Models as Masked Audio-Video Learners. CoRR abs/2310.03937 (2023) - [i42]Seyed-Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar:
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR abs/2310.04564 (2023) - [i41]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) - [i40]Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari:
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR abs/2310.15308 (2023) - [i39]Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel:
Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. CoRR abs/2311.18237 (2023) - [i38]Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari:
Weight subcloning: direct initialization of transformers using larger pretrained ones. CoRR abs/2312.09299 (2023) - [i37]Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar:
LLM in a flash: Efficient Large Language Model Inference with Limited Memory. CoRR abs/2312.11514 (2023) - 2022
- [j2]Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari:
DiCENet: Dimension-Wise Convolutions for Efficient Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2416-2425 (2022) - [c39]Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari:
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. ECCV (11) 2022: 553-568 - [c38]Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari:
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. ICLR 2022 - [c37]Sachin Mehta, Mohammad Rastegari:
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. ICLR 2022 - [c36]Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari:
Layer-Wise Data-Free CNN Compression. ICPR 2022: 2019-2026 - [c35]Sachin Mehta, Farzad Abdolhosseini, Mohammad Rastegari:
CVNets: High Performance Library for Computer Vision. ACM Multimedia 2022: 7327-7330 - [i36]Sachin Mehta, Farzad Abdolhosseini, Mohammad Rastegari:
CVNets: High Performance Library for Computer Vision. CoRR abs/2206.02002 (2022) - [i35]Sachin Mehta, Mohammad Rastegari:
Separable Self-attention for Mobile Vision Transformers. CoRR abs/2206.02680 (2022) - [i34]Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari:
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. CoRR abs/2207.10237 (2022) - [i33]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
- [c34]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. ICML 2021: 11217-11227 - [i32]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. CoRR abs/2102.10472 (2021) - [i31]Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari:
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. CoRR abs/2108.12659 (2021) - [i30]Sachin Mehta, Mohammad Rastegari:
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. CoRR abs/2110.02178 (2021) - [i29]Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel:
Token Pooling in Vision Transformers. CoRR abs/2110.03860 (2021) - [i28]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) - 2020
- [j1]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
Enabling AI at the edge with XNOR-networks. Commun. ACM 63(12): 83-90 (2020) - [c33]Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari:
What's Hidden in a Randomly Weighted Neural Network? CVPR 2020: 11890-11899 - [c32]Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CVPR 2020: 12021-12030 - [c31]Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling. ICLR 2020 - [c30]Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi:
Supermasks in Superposition. NeurIPS 2020 - [i27]Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi:
Supermasks in Superposition. CoRR abs/2006.14769 (2020) - [i26]Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari:
Layer-Wise Data-Free CNN Compression. CoRR abs/2011.09058 (2020)
2010 – 2019
- 2019
- [c29]Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari:
ELASTIC: Improving CNNs With Dynamic Scaling Policies. CVPR 2019: 2258-2267 - [c28]Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. CVPR 2019: 3195-3204 - [c27]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 - [c26]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 - [c25]Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. CVPR 2019: 9190-9200 - [c24]Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi:
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. CVPR 2019: 9201-9210 - [c23]Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari:
Discovering Neural Wirings. NeurIPS 2019: 2680-2690 - [i25]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) - [i24]Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. CoRR abs/1906.00067 (2019) - [i23]Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari:
Discovering Neural Wirings. CoRR abs/1906.00586 (2019) - [i22]Keivan Alizadeh, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CoRR abs/1906.02256 (2019) - [i21]Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari:
DiCENet: Dimension-wise Convolutions for Efficient Networks. CoRR abs/1906.03516 (2019) - [i20]Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi:
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. CoRR abs/1906.05388 (2019) - [i19]Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling. CoRR abs/1911.12385 (2019) - [i18]Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari:
What's Hidden in a Randomly Weighted Neural Network? CoRR abs/1911.13299 (2019) - 2018
- [c22]Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi:
IQA: Visual Question Answering in Interactive Environments. CVPR 2018: 4089-4098 - [c21]Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. ECCV (10) 2018: 561-580 - [c20]Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
Pyramidal Recurrent Unit for Language Modeling. EMNLP 2018: 4620-4630 - [i17]Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. CoRR abs/1803.06815 (2018) - [i16]Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, Ali Farhadi:
Label Refinery: Improving ImageNet Classification through Label Progression. CoRR abs/1805.02641 (2018) - [i15]Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
Pyramidal Recurrent Unit for Language Modeling. CoRR abs/1808.09029 (2018) - [i14]Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network. CoRR abs/1811.11431 (2018) - [i13]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) - [i12]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
- [c19]Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
LCNN: Lookup-Based Convolutional Neural Network. CVPR 2017: 860-869 - [i11]Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi:
IQA: Visual Question Answering in Interactive Environments. CoRR abs/1712.03316 (2017) - 2016
- [b1]Mohammad Rastegari:
Rich and Efficient Visual Data Representation. University of Maryland, College Park, MD, USA, 2016 - [c18]Mahyar Najibi, Mohammad Rastegari, Larry S. Davis:
G-CNN: An Iterative Grid Based Object Detector. CVPR 2016: 2369-2377 - [c17]Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images. CVPR 2016: 3521-3529 - [c16]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 - [c15]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. ECCV (4) 2016: 525-542 - [c14]Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni:
CNN-aware binary MAP for general semantic segmentation. ICIP 2016: 1923-1927 - [i10]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. CoRR abs/1603.05279 (2016) - [i9]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) - [i8]Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni:
CNN-aware Binary Map for General Semantic Segmentation. CoRR abs/1609.09220 (2016) - [i7]Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
LCNN: Lookup-based Convolutional Neural Network. CoRR abs/1611.06473 (2016) - 2015
- [c13]Mohammad Rastegari, Hannaneh Hajishirzi, Ali Farhadi:
Discriminative and consistent similarities in instance-level Multiple Instance Learning. CVPR 2015: 740-748 - [c12]Mohammad Rastegari, Cem Keskin, Pushmeet Kohli, Shahram Izadi:
Computationally bounded retrieval. CVPR 2015: 1501-1509 - [c11]Ashish Shrivastava, Mohammad Rastegari, Sumit Shekhar, Rama Chellappa, Larry S. Davis:
Class consistent multi-modal fusion with binary features. CVPR 2015: 2282-2291 - [i6]Mahyar Najibi, Mohammad Rastegari, Larry S. Davis:
On Large-Scale Retrieval: Binary or n-ary Coding? CoRR abs/1509.06066 (2015) - [i5]Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images. CoRR abs/1511.04048 (2015) - [i4]Mahdyar Ravanbakhsh, Hossein Mousavi, Mohammad Rastegari, Vittorio Murino, Larry S. Davis:
Action Recognition with Image Based CNN Features. CoRR abs/1512.03980 (2015) - [i3]Mahyar Najibi, Mohammad Rastegari, Larry S. Davis:
G-CNN: an Iterative Grid Based Object Detector. CoRR abs/1512.07729 (2015) - 2014
- [i2]Mohammad Rastegari, Shobeir Fakhraei, Jonghyun Choi, David W. Jacobs, Larry S. Davis:
Comparing apples to apples in the evaluation of binary coding methods. CoRR abs/1405.1005 (2014) - 2013
- [c10]Jonghyun Choi, Mohammad Rastegari, Ali Farhadi, Larry S. Davis:
Adding Unlabeled Samples to Categories by Learned Attributes. CVPR 2013: 875-882 - [c9]Mohammad Rastegari, Ali Diba, Devi Parikh, Ali Farhadi:
Multi-attribute Queries: To Merge or Not to Merge? CVPR 2013: 3310-3317 - [c8]Fatemeh Mirrashed, Mohammad Rastegari:
Domain Adaptive Classification. ICCV 2013: 2608-2615 - [c7]Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Hal Daumé III, Larry S. Davis:
Predictable Dual-View Hashing. ICML (3) 2013: 1328-1336 - 2012
- [c6]Mohammad Rastegari, Ali Farhadi, David A. Forsyth:
Attribute Discovery via Predictable Discriminative Binary Codes. ECCV (6) 2012: 876-889 - [c5]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
- [c4]Mohammad Rastegari, Chen Fang, Lorenzo Torresani:
Scalable object-class retrieval with approximate and top-k ranking. ICCV 2011: 2659-2666 - 2010
- [c3]Babak Saleh, Mohammad Rastegari:
Object Detection using Pictorial Structure of Gabor Template. VISAPP (2) 2010: 396-400
2000 – 2009
- 2009
- [c2]Mohammad Rastegari, Mohammad Rouhani, Niloofar Gheissari, Mir Mohsen Pedram:
Cartoon Motion Capturing and Retargeting by Rigid Shape Manipulation. DICTA 2009: 498-504 - 2008
- [c1]Mohammad Rastegari, Niloofar Gheissari:
Multi-scale Cartoon Motion Capture and Retargeting without Shape Matching. DICTA 2008: 320-326
Coauthor Index
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