Forrest N. Iandola

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 33

Top Venues

CoRR

ICASSP

CVPR

CVPR Workshops

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. CoRR (2024)
Gaël Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
Stack-and-Delay: A New Codebook Pattern for Music Generation. ICASSP (2024)
Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
In-Context Prompt Editing for Conditional Audio Generation. ICASSP (2024)
Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra
Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition. ICASSP (2024)
Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra
On the Open Prompt Challenge in Conditional Audio Generation. ICASSP (2024)
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR (2024)
Gaël Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
Stack-and-Delay: a new codebook pattern for music generation. CoRR (2023)
Yangyang Shi, Gaël Le Lan, Varun Nagaraja, Zhaoheng Ni, Xinhao Mei, Ernie Chang, Forrest N. Iandola, Yang Liu, Vikas Chandra
Enhance audio generation controllability through representation similarity regularization. CoRR (2023)
Balakrishnan Varadarajan, Bilge Soran, Forrest N. Iandola, Xiaoyu Xiang, Yunyang Xiong, Lemeng Wu, Chenchen Zhu, Raghuraman Krishnamoorthi, Vikas Chandra
SqueezeSAM: User friendly mobile interactive segmentation. CoRR (2023)
Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
In-Context Prompt Editing For Conditional Audio Generation. CoRR (2023)
Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Ernie Chang, Yangyang Shi, Vikas Chandra
Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition. CoRR (2023)
Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CoRR (2023)
Jay Zhangjie Wu, Xiuyu Li, Difei Gao, Zhen Dong, Jinbin Bai, Aishani Singh, Xiaoyu Xiang, Youzeng Li, Zuwei Huang, Yuanxi Sun, Rui He, Feng Hu, Junhua Hu, Hai Huang, Hanyu Zhu, Xu Cheng, Jie Tang, Mike Zheng Shou, Kurt Keutzer, Forrest N. Iandola
CVPR 2023 Text Guided Video Editing Competition. CoRR (2023)
Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra
On The Open Prompt Challenge In Conditional Audio Generation. CoRR (2023)
Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? SustaiNLP@EMNLP (2020)
Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? CoRR (2020)
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops (2019)
Albert E. Shaw, Daniel Hunter, Forrest N. Iandola, Sammy Sidhu
SqueezeNAS: Fast neural architecture search for faster semantic segmentation. CoRR (2019)
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops (2019)
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning. CoRR (2018)
Forrest N. Iandola, Kurt Keutzer
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures. CoRR (2017)
Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
Shallow Networks for High-accuracy Road Object-detection. VEHITS (2017)
Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Workshops (2017)
Forrest N. Iandola, Kurt Keutzer
Small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures. CODES+ISSS (2017)
Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CoRR (2016)
Forrest N. Iandola
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale. CoRR (2016)
Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
Shallow Networks for High-Accuracy Road Object-Detection. CoRR (2016)
Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms. CoRR (2016)
Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally, Kurt Keutzer
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size. CoRR (2016)
Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters. CVPR (2016)
Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer
Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms. WiMob (2016)
Steena Monteiro, Forrest N. Iandola, Daniel Wong
STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication. SBAC-PAD (2016)
Peter H. Jin, Qiaochu Yuan, Forrest N. Iandola, Kurt Keutzer
How to scale distributed deep learning? CoRR (2016)
Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer
FireCaffe: near-linear acceleration of deep neural network training on compute clusters. CoRR (2015)
Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
libHOG: Energy-Efficient Histogram of Oriented Gradient Computation. ITSC (2015)
Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig
From captions to visual concepts and back. CVPR (2015)
Forrest N. Iandola, Anting Shen, Peter Gao, Kurt Keutzer
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer. CoRR (2015)
Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik
Deformable part models are convolutional neural networks. CVPR (2015)
Khalid Ashraf, Benjamin Elizalde, Forrest N. Iandola, Matthew W. Moskewicz, Julia Bernd, Gerald Friedland, Kurt Keutzer
Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling. ICMR (2015)
Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig
From Captions to Visual Concepts and Back. CoRR (2014)
Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik
Deformable Part Models are Convolutional Neural Networks. CoRR (2014)
Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids. CoRR (2014)
Mehdi Maasoumy, Pierluigi Nuzzo, Forrest N. Iandola, Maryam Kamgarpour, Alberto L. Sangiovanni-Vincentelli, Claire J. Tomlin
Optimal load management system for Aircraft Electric Power distribution. CDC (2013)
Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer
Communication-minimizing 2D convolution in GPU registers. ICIP (2013)
Ning Zhang, Ryan Farrell, Forrest N. Iandola, Trevor Darrell
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction. ICCV (2013)
Fatemeh Saremi, Praveen Jayachandran, Forrest N. Iandola, Md. Yusuf Sarwar Uddin, Tarek F. Abdelzaher, Aylin Yener
On schedulability and time composability of data aggregation networks. FUSION (2012)
Forrest N. Iandola, Fatemeh Saremi, Tarek F. Abdelzaher, Praveen Jayachandran, Aylin Yener
Real-time capacity of networked data fusion. FUSION (2011)
Mahsa Kamali, Forrest N. Iandola, Hui Fang, John C. Hart
MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage. ISVC (1) (2011)
Mahsa Kamali, Eyal Ofek, Forrest N. Iandola, Ido Omer, John C. Hart
Linear Clutter Removal from Urban Panoramas. ISVC (2) (2011)

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Publication Activity (10 Years)

Top Topics

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Forrest N. Iandola