Mohammad Rastegari

114 papers A* 35A 2B 2Misc 2Journal 62Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. ICLR Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi
2025	A*	`conf`	Speculative Streaming: Efficient and Scalable Speculative Decoding with Multi-Stream Attention. EMNLP Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Antonie Lin, Mohammad Rastegari, Mahyar Najibi
2025	A*	`conf`	eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. HPCA Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
2024	J	`jnl`	Bytes Are All You Need: Transformers Operating Directly On File Bytes. Trans. Mach. Learn. Res. Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari
2024	J	`jnl`	CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2024	J	`jnl`	CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. CoRR Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari
2024	J	`jnl`	KV Prediction for Improved Time to First Token. CoRR Maxwell Horton, Qingqing Cao, Chenfan Sun, Yanzi Jin, Sachin Mehta, Mohammad Rastegari, Moin Nabi
2024	A*	`conf`	KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. ICML Minsik Cho, Mohammad Rastegari, Devang Naik
2024	J	`jnl`	KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. CoRR Minsik Cho, Mohammad Rastegari, Devang Naik
2024	A*	`conf`	Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. ICML Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2024	—	`conf`	LLM in a flash: Efficient Large Language Model Inference with Limited Memory. ACL (1) Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
2024	J	`jnl`	LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. CoRR Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi
2024	J	`jnl`	OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. CoRR Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari
2024	A*	`conf`	ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
2024	—	`conf`	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CVPR Workshops Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2024	J	`jnl`	SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. CoRR Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi
2024	—	`conf`	Speculative Streaming: Fast LLM Inference without Auxiliary Models. ENLSP Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi
2024	J	`jnl`	Speculative Streaming: Fast LLM Inference without Auxiliary Models. CoRR Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi
2024	A*	`conf`	Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. ICML Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi
2024	J	`jnl`	Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation. CoRR Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi
2024	J	`jnl`	eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. IEEE Comput. Archit. Lett. Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
2023	J	`jnl`	(Dynamic) Prompting might be all you need to repair Compressed LLMs. CoRR Duc N. M. Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang Wang
2023	J	`jnl`	Bytes Are All You Need: Transformers Operating Directly On File Bytes. CoRR Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari
2023	J	`jnl`	CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2023	J	`jnl`	Diffusion Models as Masked Audio-Video Learners. CoRR Elvis Nunez, Yanzi Jin, Mohammad Rastegari, Sachin Mehta, Maxwell Horton
2023	J	`jnl`	LLM in a flash: Efficient Large Language Model Inference with Limited Memory. CoRR Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
2023	J	`jnl`	Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. CoRR Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2023	J	`jnl`	On the Efficacy of Multi-scale Data Samplers for Vision Applications. CoRR Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton
2023	J	`jnl`	ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
2023	A*	`conf`	Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. ICCV Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023	J	`jnl`	Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. CoRR Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023	J	`jnl`	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2023	J	`jnl`	Separable Self-attention for Mobile Vision Transformers. Trans. Mach. Learn. Res. Sachin Mehta, Mohammad Rastegari
2023	A	`conf`	Token Pooling in Vision Transformers for Image Classification. WACV Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel
2023	J	`jnl`	Weight subcloning: direct initialization of transformers using larger pretrained ones. CoRR Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari
2023	J	`jnl`	eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models. CoRR Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
2022	A*	`conf`	CVNets: High Performance Library for Computer Vision. ACM Multimedia Sachin Mehta, Farzad Abdolhosseini, Mohammad Rastegari
2022	J	`jnl`	CVNets: High Performance Library for Computer Vision. CoRR Sachin Mehta, Farzad Abdolhosseini, Mohammad Rastegari
2022	A*	`conf`	DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. ICLR Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
2022	J	`jnl`	DiCENet: Dimension-Wise Convolutions for Efficient Networks. IEEE Trans. Pattern Anal. Mach. Intell. Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari
2022	B	`conf`	Layer-Wise Data-Free CNN Compression. ICPR Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari
2022	A*	`conf`	MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. ICLR Sachin Mehta, Mohammad Rastegari
2022	J	`jnl`	RangeAugment: Efficient Online Augmentation with Range Learning. CoRR Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari
2022	—	`conf`	SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. ECCV (11) Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari
2022	J	`jnl`	SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. CoRR Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari
2022	J	`jnl`	Separable Self-attention for Mobile Vision Transformers. CoRR Sachin Mehta, Mohammad Rastegari
2021	J	`jnl`	DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. CoRR Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
2021	J	`jnl`	LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time. CoRR Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari
2021	A*	`conf`	Learning Neural Network Subspaces. ICML Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
2021	J	`jnl`	Learning Neural Network Subspaces. CoRR Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
2021	J	`jnl`	MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. CoRR Sachin Mehta, Mohammad Rastegari
2021	J	`jnl`	Token Pooling in Vision Transformers. CoRR Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel
2020	A*	`conf`	Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CVPR Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari
2020	A*	`conf`	DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling. ICLR Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
2020	J	`jnl`	Enabling AI at the edge with XNOR-networks. Commun. ACM Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
2020	J	`jnl`	Layer-Wise Data-Free CNN Compression. CoRR Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari
2020	A*	`conf`	Supermasks in Superposition. NeurIPS Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi
2020	J	`jnl`	Supermasks in Superposition. CoRR Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi
2020	A*	`conf`	What's Hidden in a Randomly Weighted Neural Network? CVPR Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari
2019	A*	`conf`	Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. CVPR Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi
2019	J	`jnl`	Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. CoRR Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi
2019	J	`jnl`	Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CoRR Keivan Alizadeh, Ali Farhadi, Mohammad Rastegari
2019	J	`jnl`	DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling. CoRR Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
2019	J	`jnl`	DiCENet: Dimension-wise Convolutions for Efficient Networks. CoRR Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari
2019	A*	`conf`	Discovering Neural Wirings. NeurIPS Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
2019	J	`jnl`	Discovering Neural Wirings. CoRR Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
2019	A*	`conf`	ELASTIC: Improving CNNs With Dynamic Scaling Policies. CVPR Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari
2019	A*	`conf`	ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. CVPR Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi
2019	A*	`conf`	Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. CVPR Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
2019	A*	`conf`	OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. CVPR Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
2019	J	`jnl`	OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. CoRR Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
2019	A*	`conf`	Two Body Problem: Collaborative Visual Task Completion. CVPR Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019	J	`jnl`	Two Body Problem: Collaborative Visual Task Completion. CoRR Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019	J	`jnl`	What's Hidden in a Randomly Weighted Neural Network? CoRR Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari
2018	J	`jnl`	ELASTIC: Improving CNNs with Instance Specific Scaling Policies. CoRR Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari
2018	—	`conf`	ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. ECCV (10) Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi
2018	J	`jnl`	ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. CoRR Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi
2018	J	`jnl`	ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network. CoRR Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi
2018	A*	`conf`	IQA: Visual Question Answering in Interactive Environments. CVPR Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi
2018	J	`jnl`	Label Refinery: Improving ImageNet Classification through Label Progression. CoRR Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, Ali Farhadi
2018	J	`jnl`	Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. CoRR Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
2018	A*	`conf`	Pyramidal Recurrent Unit for Language Modeling. EMNLP Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
2018	J	`jnl`	Pyramidal Recurrent Unit for Language Modeling. CoRR Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
2017	J	`jnl`	IQA: Visual Question Answering in Interactive Environments. CoRR Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi
2017	A*	`conf`	LCNN: Lookup-Based Convolutional Neural Network. CVPR Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
2016	—	`conf`	"What Happens If..." Learning to Predict the Effect of Forces in Images. ECCV (4) Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi
2016	J	`jnl`	"What happens if..." Learning to Predict the Effect of Forces in Images. CoRR Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi
2016	J	`jnl`	CNN-aware Binary Map for General Semantic Segmentation. CoRR Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni
2016	B	`conf`	CNN-aware binary MAP for general semantic segmentation. ICIP Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni
2016	A*	`conf`	G-CNN: An Iterative Grid Based Object Detector. CVPR Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
2016	J	`jnl`	LCNN: Lookup-based Convolutional Neural Network. CoRR Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
2016	A*	`conf`	Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images. CVPR Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
2016	—	`—`	Rich and Efficient Visual Data Representation. Mohammad Rastegari
2016	—	`conf`	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. ECCV (4) Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
2016	J	`jnl`	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. CoRR Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
2015	J	`jnl`	Action Recognition with Image Based CNN Features. CoRR Mahdyar Ravanbakhsh, Hossein Mousavi, Mohammad Rastegari, Vittorio Murino, Larry S. Davis
2015	A*	`conf`	Class consistent multi-modal fusion with binary features. CVPR Ashish Shrivastava, Mohammad Rastegari, Sumit Shekhar, Rama Chellappa, Larry S. Davis
2015	A*	`conf`	Computationally bounded retrieval. CVPR Mohammad Rastegari, Cem Keskin, Pushmeet Kohli, Shahram Izadi
2015	A*	`conf`	Discriminative and consistent similarities in instance-level Multiple Instance Learning. CVPR Mohammad Rastegari, Hannaneh Hajishirzi, Ali Farhadi
2015	J	`jnl`	G-CNN: an Iterative Grid Based Object Detector. CoRR Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
2015	J	`jnl`	Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images. CoRR Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
2015	J	`jnl`	On Large-Scale Retrieval: Binary or n-ary Coding? CoRR Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
2014	J	`jnl`	Comparing apples to apples in the evaluation of binary coding methods. CoRR Mohammad Rastegari, Shobeir Fakhraei, Jonghyun Choi, David W. Jacobs, Larry S. Davis
2013	A*	`conf`	Adding Unlabeled Samples to Categories by Learned Attributes. CVPR Jonghyun Choi, Mohammad Rastegari, Ali Farhadi, Larry S. Davis
2013	A*	`conf`	Domain Adaptive Classification. ICCV Fatemeh Mirrashed, Mohammad Rastegari
2013	A*	`conf`	Multi-attribute Queries: To Merge or Not to Merge? CVPR Mohammad Rastegari, Ali Diba, Devi Parikh, Ali Farhadi
2013	—	`conf`	Predictable Dual-View Hashing. ICML (3) Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Hal Daumé III, Larry S. Davis
2012	—	`conf`	Attribute Discovery via Predictable Discriminative Binary Codes. ECCV (6) Mohammad Rastegari, Ali Farhadi, David A. Forsyth
2012	J	`jnl`	Semantic Understanding of Professional Soccer Commentaries CoRR Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins
2012	A	`conf`	Semantic Understanding of Professional Soccer Commentaries. UAI Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins
2011	A*	`conf`	Scalable object-class retrieval with approximate and top-k ranking. ICCV Mohammad Rastegari, Chen Fang, Lorenzo Torresani
2010	—	`conf`	Object Detection using Pictorial Structure of Gabor Template. VISAPP (2) Babak Saleh, Mohammad Rastegari
2009	Misc	`conf`	Cartoon Motion Capturing and Retargeting by Rigid Shape Manipulation. DICTA Mohammad Rastegari, Mohammad Rouhani, Niloofar Gheissari, Mir Mohsen Pedram
2008	Misc	`conf`	Multi-scale Cartoon Motion Capture and Retargeting without Shape Matching. DICTA Mohammad Rastegari, Niloofar Gheissari