Forrest N. Iandola

According to our database, Forrest N. Iandola authored at least 39 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.

Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

CoRR, 2024

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition.

Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra

Proceedings of the IEEE International Conference on Acoustics, 2024

Stack-and-Delay: A New Codebook Pattern for Music Generation.

Gaël Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra

Proceedings of the IEEE International Conference on Acoustics, 2024

On the Open Prompt Challenge in Conditional Audio Generation.

Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra

Proceedings of the IEEE International Conference on Acoustics, 2024

In-Context Prompt Editing for Conditional Audio Generation.

Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra

Proceedings of the IEEE International Conference on Acoustics, 2024

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Taming Mode Collapse in Score Distillation for Text-to-3D Generation.

Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SqueezeSAM: User friendly mobile interactive segmentation.

Balakrishnan Varadarajan, Bilge Soran, Forrest N. Iandola, Xiaoyu Xiang, Yunyang Xiong, Lemeng Wu, Chenchen Zhu, Raghuraman Krishnamoorthi, Vikas Chandra

CoRR, 2023

CVPR 2023 Text Guided Video Editing Competition.

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

CoRR, 2023

Enhance audio generation controllability through representation similarity regularization.

Yangyang Shi, Gaël Le Lan, Varun Nagaraja, Zhaoheng Ni, Xinhao Mei, Ernie Chang, Forrest N. Iandola, Yang Liu, Vikas Chandra

CoRR, 2023

Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition.

Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Ernie Chang, Yangyang Shi, Vikas Chandra

CoRR, 2023

2020

SqueezeBERT: What can computer vision teach NLP about efficient neural networks?

Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

2019

SqueezeNAS: Fast neural architecture search for faster semantic segmentation.

Albert E. Shaw, Daniel Hunter, Forrest N. Iandola, Sammy Sidhu

CoRR, 2019

DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning.

Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017

Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures.

Forrest N. Iandola, Kurt Keutzer

CoRR, 2017

Shallow Networks for High-accuracy Road Object-detection.

Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer

Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving.

Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures.

Forrest N. Iandola, Kurt Keutzer

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion, 2017

2016

Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale.

Forrest N. Iandola

PhD thesis, 2016

How to scale distributed deep learning?

Peter H. Jin, Qiaochu Yuan, Forrest N. Iandola, Kurt Keutzer

CoRR, 2016

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size.

Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally, Kurt Keutzer

CoRR, 2016

Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale.

Forrest N. Iandola

CoRR, 2016

Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms.

Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer

Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication.

Steena Monteiro, Forrest N. Iandola, Daniel Wong

Proceedings of the 28th International Symposium on Computer Architecture and High Performance Computing, 2016

FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters.

Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer.

Forrest N. Iandola, Anting Shen, Peter Gao, Kurt Keutzer

CoRR, 2015

Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling.

Khalid Ashraf, Benjamin Elizalde, Forrest N. Iandola, Matthew W. Moskewicz, Julia Bernd, Gerald Friedland, Kurt Keutzer

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

libHOG: Energy-Efficient Histogram of Oriented Gradient Computation.

Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Deformable part models are convolutional neural networks.

Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

From captions to visual concepts and back.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.

Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer

CoRR, 2014

2013

Communication-minimizing 2D convolution in GPU registers.

Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer

Proceedings of the IEEE International Conference on Image Processing, 2013

Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.

Ning Zhang, Ryan Farrell, Forrest N. Iandola, Trevor Darrell

Proceedings of the IEEE International Conference on Computer Vision, 2013

Optimal load management system for Aircraft Electric Power distribution.

Mehdi Maasoumy, Pierluigi Nuzzo, Forrest N. Iandola, Maryam Kamgarpour, Alberto L. Sangiovanni-Vincentelli, Claire J. Tomlin

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

On schedulability and time composability of data aggregation networks.

Fatemeh Saremi, Praveen Jayachandran, Forrest N. Iandola, Md. Yusuf Sarwar Uddin, Tarek F. Abdelzaher, Aylin Yener

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

Linear Clutter Removal from Urban Panoramas.

Mahsa Kamali, Eyal Ofek, Forrest N. Iandola, Ido Omer, John C. Hart

Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage.

Mahsa Kamali, Forrest N. Iandola, Hui Fang, John C. Hart

Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

Real-time capacity of networked data fusion.

Forrest N. Iandola, Fatemeh Saremi, Tarek F. Abdelzaher, Praveen Jayachandran, Aylin Yener

Proceedings of the 14th International Conference on Information Fusion, 2011