Forrest Iandola

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All published works

Action	Title	Year	Authors
+ PDF Chat	SqueezeMe: Efficient Gaussian Avatars for VR	2024	Shunsuke Saito Stanislav Pidhorskyi Igor Santesteban Forrest Iandola Divam Gupta Anuj Pahuja Nemanja Bartolovic Frank Yu Emanuel Garbin Tomas Simon
+ PDF Chat	Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds	2024	Xiaoyu Xiang Liat Sless Gorelik Yuchen Fan Omri Armstrong Forrest Iandola Yilei Li Ita Lifshitz Rakesh Ranjan
+ PDF Chat	Efficient Track Anything	2024	Yunyang Xiong Chong Zhou Xiaoyu Xiang Lemeng Wu Chenchen Zhu Zechun Liu Saksham Suri Balakrishnan Varadarajan Ramya Akula Forrest Iandola
+	On the Open Prompt Challenge in Conditional Audio Generation	2024	Ernie Chang Sidd Srinivasan Mahi Luthra Pin-Jie Lin Varun Nagaraja Forrest Iandola Zechun Liu Zhaoheng Ni Changsheng Zhao Yangyang Shi
+	Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition	2024	Yang Li Liangzhen Lai Yuan Shangguan Forrest Iandola Zhaoheng Ni Ernie Chang Yangyang Shi Vikas Chandra
+	In-Context Prompt Editing for Conditional Audio Generation	2024	Ernie Chang Pin-Jie Lin Yang Li Sidd Srinivasan Gaël Le Lan David Kant Yangyang Shi Forrest Iandola Vikas Chandra
+	Stack-and-Delay: A New Codebook Pattern for Music Generation	2024	Gaël Le Lan Varun Nagaraja Ernie Chang David Kant Zhaoheng Ni Yangyang Shi Forrest Iandola Vikas Chandra
+ PDF Chat	MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases	2024	Zechun Liu Changsheng Zhao Forrest Iandola Lai Chen Yuandong Tian I. V. Fedorov Yunyang Xiong Ernie Chang Yangyang Shi Raghuraman Krishnamoorthi
+	SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity	2024	Peihao Wang Zhiwen Fan Dejia Xu Dilin Wang Sreyas Mohan Forrest Iandola Rakesh Ranjan Yilei Li Qiang Liu Zhangyang Wang
+	Taming Mode Collapse in Score Distillation for Text-to-3D Generation	2024	Peihao Wang Dejia Xu Zhiwen Fan Dilin Wang Sreyas Mohan Forrest Iandola Rakesh Ranjan Yilei Li Qiang Liu Shuicheng Yan
+	Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition	2023	Yang Li Liangzhen Lai Yuan Shangguan Forrest Iandola Ernie Chang Yangyang Shi Vikas Chandra
+	Stack-and-Delay: a new codebook pattern for music generation	2023	Gaël Le Lan Varun Nagaraja Ernie Chang David Kant Zhaoheng Ni Yangyang Shi Forrest Iandola Vikas Chandra
+	Enhance audio generation controllability through representation similarity regularization	2023	Yangyang Shi Gaël Le Lan Varun Nagaraja Zhaoheng Ni Xinhao Mei Ernie Chang Forrest Iandola Yang Liu Vikas Chandra
+	CVPR 2023 Text Guided Video Editing Competition	2023	Jay Zhangjie Wu Xiuyu Li Difei Gao Zhen Dong Jinbin Bai Aishani Singh Xiaoyu Xiang Youzeng Li Zuwei Huang Yuanxi Sun
+	On The Open Prompt Challenge In Conditional Audio Generation	2023	Ernie Chang Sidd Srinivasan Mahi Luthra Pin-Jie Lin Varun Nagaraja Forrest Iandola Zechun Liu Zhaoheng Ni Changsheng Zhao Yangyang Shi
+	In-Context Prompt Editing For Conditional Audio Generation	2023	Ernie Chang Pin-Jie Lin Yang Li Sidd Srinivasan Gaël Le Lan David Kant Yangyang Shi Forrest Iandola Vikas Chandra
+	EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything	2023	Yunyang Xiong Bala Varadarajan Lemeng Wu Xiaoyu Xiang Fanyi Xiao Chenchen Zhu Xiaoliang Dai Dilin Wang Fei Sun Forrest Iandola
+	SqueezeSAM: User friendly mobile interactive segmentation	2023	Balakrishnan Varadarajan Bilge Soran Forrest Iandola Xiaoyu Xiang Yunyang Xiong Lemeng Wu Chenchen Zhu Raghuraman Krishnamoorthi Vikas Chandra
+	SqueezeBERT: What can computer vision teach NLP about efficient neural networks?	2020	Forrest Iandola Albert Shaw Ravi Krishna Kurt Keutzer
+	SqueezeBERT: What can computer vision teach NLP about efficient neural networks?	2020	Forrest Iandola Albert Shaw Ravi Krishna Kurt Keutzer
+	SqueezeBERT: What can computer vision teach NLP about efficient neural networks?	2020	Forrest Iandola Albert Shaw Ravi Krishna Kurt Keutzer
+	SqueezeNAS: Fast neural architecture search for faster semantic segmentation	2019	Albert Shaw Hunter Daniel Forrest Iandola Sammy Sidhu
+ PDF Chat	DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning	2019	Paden Tomasello Sammy Sidhu Anting Shen Matthew W. Moskewicz Nobie Redmon Gayatri Joshi Romi Phadte Paras Jain Forrest Iandola
+	DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning.	2018	Paden Tomasello Sammy Sidhu Anting Shen Matthew W. Moskewicz Nobie Redmon Gayatri Joshi Romi Phadte Paras Jain Forrest Iandola
+	DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning	2018	Paden Tomasello Sammy Sidhu Anting Shen Matthew W. Moskewicz Nobie Redmon Gayatri Joshi Romi Phadte Paras Jain Forrest Iandola
+ PDF Chat	SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving	2017	Bichen Wu Alvin Wan Forrest Iandola Peter H. Jin Kurt Keutzer
+	Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures	2017	Forrest Iandola Kurt Keutzer
+	Shallow Networks for High-accuracy Road Object-detection	2017	Khalid Ashraf Bichen Wu Forrest Iandola Matthew W. Moskewicz Kurt Keutzer
+	How to scale distributed deep learning	2016	Peter Jin Qiaochu Yuan Forrest Iandola Kurt Keutzer
+	How to scale distributed deep learning	2016	Peter Jin Qiaochu Yuan Forrest Iandola Kurt Keutzer
+ PDF Chat	Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms	2016	Matthew W. Moskewicz Forrest Iandola Kurt Keutzer
+	Shallow Networks for High-Accuracy Road Object-Detection	2016	Khalid Ashraf Bichen Wu Forrest Iandola Mattthew W. Moskewicz Kurt Keutzer
+	Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms	2016	Matthew W. Moskewicz Forrest Iandola Kurt Keutzer
+ PDF Chat	FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters	2016	Forrest Iandola Matthew W. Moskewicz Khalid Ashraf Kurt Keutzer
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer
+	SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving	2016	Bichen Wu Alvin Wan Forrest Iandola Peter Jin Kurt Keutzer
+	Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale	2016	Forrest Iandola
+	Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms	2016	Matthew W. Moskewicz Forrest Iandola Kurt Keutzer
+	How to scale distributed deep learning?	2016	Peter H. Jin Qiaochu Yuan Forrest Iandola Kurt Keutzer
+	Shallow Networks for High-Accuracy Road Object-Detection	2016	Khalid Ashraf Bichen Wu Forrest Iandola Mattthew W. Moskewicz Kurt Keutzer
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer
+	FireCaffe: near-linear acceleration of deep neural network training on compute clusters	2015	Forrest Iandola Khalid Ashraf Mattthew W. Moskewicz Kurt Keutzer
+	DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer	2015	Forrest Iandola Anting Shen Peter Gao Kurt Keutzer
+ PDF Chat	From captions to visual concepts and back	2015	Hao Fang Saurabh Gupta Forrest Iandola Rupesh K. Srivastava Li Deng Piotr Dollár Jianfeng Gao Xiaodong He Margaret Mitchell John Platt
+ PDF Chat	Deformable part models are convolutional neural networks	2015	Ross Girshick Forrest Iandola Trevor Darrell Jitendra Malik
+	DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer	2015	Forrest Iandola Anting Shen Peter Gao Kurt Keutzer
+	FireCaffe: near-linear acceleration of deep neural network training on compute clusters	2015	Forrest Iandola Khalid Ashraf Matthew W. Moskewicz Kurt Keutzer
+	Deformable Part Models are Convolutional Neural Networks	2014	Ross Girshick Forrest Iandola Trevor Darrell Jitendra Malik
+	DenseNet: Implementing Efficient ConvNet Descriptor Pyramids	2014	Forrest Iandola Matthew W. Moskewicz Sergey Karayev Ross Girshick Trevor Darrell Kurt Keutzer
+	From Captions to Visual Concepts and Back	2014	Hao Fang Saurabh Gupta Forrest Iandola Rupesh K. Srivastava Li Deng Piotr Dollár Jianfeng Gao Xiaodong He Margaret Mitchell John Platt
+	Deformable Part Models are Convolutional Neural Networks	2014	Ross Girshick Forrest Iandola Trevor Darrell Jitendra Malik

Common Coauthors

Coauthor	Papers Together
Kurt Keutzer	24
Vikas Chandra	15
Matthew W. Moskewicz	12
Yangyang Shi	10
Ernie Chang	10
Khalid Ashraf	7
Zhaoheng Ni	6
Gaël Le Lan	5
Anting Shen	5
Varun Nagaraja	5
Xiaoyu Xiang	5
Bichen Wu	5
David Kant	4
Yunyang Xiong	4
Sidd Srinivasan	4
Trevor Darrell	4
Zechun Liu	4
Ross Girshick	4
Sammy Sidhu	4
Raghuraman Krishnamoorthi	4
Albert Shaw	4
Gayatri Joshi	3
Lemeng Wu	3
Rakesh Ranjan	3
Mattthew W. Moskewicz	3
Paden Tomasello	3
Peter Jin	3
Romi Phadte	3
Changsheng Zhao	3
Liangzhen Lai	3
Nobie Redmon	3
Jitendra Malik	3
Chenchen Zhu	3
Yilei Li	3
Saurabh Gupta	2
Ravi Krishna	2
Paras Jain	2
Alvin Wan	2
Yang Li	2
Mahi Luthra	2
Li Deng	2
Peter Gao	2
Yuan Shangguan	2
Peter H. Jin	2
Jianfeng Gao	2
Dilin Wang	2
John Platt	2
William J. Dally	2
Margaret Mitchell	2
Bilge Soran	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	13
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	8
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	8
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	7
+	Going Deeper with Convolutions	2014	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	7
+	DenseNet: Implementing Efficient ConvNet Descriptor Pyramids	2014	Forrest Iandola Matthew W. Moskewicz Sergey Karayev Ross Girshick Trevor Darrell Kurt Keutzer	7
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	6
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	6
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	5
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	5
+	Distributed Deep Learning Using Synchronous Stochastic Gradient Descent	2016	Dipankar Das Sasikanth Avancha Dheevatsa Mudigere Karthikeyan Vaidynathan Srinivas Sridharan Dhiraj Kalamkar Bharat Kaul Pradeep Dubey	5
+ PDF Chat	Deformable part models are convolutional neural networks	2015	Ross Girshick Forrest Iandola Trevor Darrell Jitendra Malik	5
+	maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs	2015	Andrew Lavin	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent	2011	Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright	4
+	Deep Image: Scaling up Image Recognition	2015	Wu Ren Shengen Yan Yi Shan Qingqing Dang Gang Sun	4
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+ PDF Chat	FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters	2016	Forrest Iandola Matthew W. Moskewicz Khalid Ashraf Kurt Keutzer	4
+	DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer	2015	Forrest Iandola Anting Shen Peter Gao Kurt Keutzer	4
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	3
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	3
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan D. Cohen John C. Tran Bryan Catanzaro Evan Shelhamer	3
+	Deep Speech: Scaling up end-to-end speech recognition	2014	Awni Hannun Carl Case Jared Casper Bryan Catanzaro Greg Diamos Erich Elsen Ryan Prenger Sanjeev Satheesh Shubho Sengupta Adam Coates	3
+	Empirical Evaluation of Rectified Activations in Convolutional Network	2015	Bing Xu Naiyan Wang Tianqi Chen Mu Li	3
+ PDF Chat	SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving	2017	Bichen Wu Alvin Wan Forrest Iandola Peter H. Jin Kurt Keutzer	3
+	The Effects of Hyperparameters on SGD Training of Neural Networks	2015	Thomas M. Breuel	3
+	Shallow Networks for High-Accuracy Road Object-Detection	2016	Khalid Ashraf Bichen Wu Forrest Iandola Mattthew W. Moskewicz Kurt Keutzer	3
+ PDF Chat	FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search	2019	Bichen Wu Kurt Keutzer Xiaoliang Dai Peizhao Zhang Yanghan Wang Fei Sun Yiming Wu Yuandong Tian Péter Vajda Yangqing Jia	3
+	Theano-based Large-Scale Visual Recognition with Multiple GPUs	2014	Wei‐Guang Ding Ruoyan Wang Fei Mao Graham W. Taylor	3
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	3
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	3
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	3
+	MusicLM: Generating Music From Text	2023	Andrea Agostinelli Timo I. Denk Zalán Borsos Jesse Engel M. Verzetti Antoine Caillon Qingqing Huang Aren Jansen Adam Roberts Marco Tagliasacchi	3
+	End-to-End Training of Deep Visuomotor Policies	2015	Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel	3
+	You Only Look Once: Unified, Real-Time Object Detection	2015	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	3
+ PDF Chat	Efficient and accurate approximations of nonlinear convolutional networks	2015	Xiangyu Zhang Jianhua Zou Ming Xiang Kaiming He Jian Sun	3
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+	Speeding up Convolutional Neural Networks with Low Rank Expansions	2014	Max Jaderberg Andrea Vedaldi Andrew Zisserman	3
+	Multi-GPU Training of ConvNets	2013	Omry Yadan Keith Adams Yaniv Taigman Marc’Aurelio Ranzato	3
+	One weird trick for parallelizing convolutional neural networks	2014	Alex Krizhevsky	3
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	3
+	ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation	2016	Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello	3
+ PDF Chat	CNN Features Off-the-Shelf: An Astounding Baseline for Recognition	2014	Ali Sharif Razavian Hossein Azizpour Josephine Sullivan Stefan Carlsson	3
+ PDF Chat	Xception: Deep Learning with Depthwise Separable Convolutions	2017	François Chollet	3
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	3
+ PDF Chat	From generic to specific deep representations for visual recognition	2015	Hossein Azizpour Ali Sharif Razavian Josephine Sullivan Atsuto Maki Stefan Carlsson	3
+	SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving	2016	Bichen Wu Alvin Wan Forrest Iandola Peter Jin Kurt Keutzer	3
+ PDF Chat	Long-term recurrent convolutional networks for visual recognition and description	2015	Jeff Donahue Lisa Anne Hendricks Sergio Guadarrama Marcus Rohrbach Subhashini Venugopalan Trevor Darrell Kate Saenko	2