Forrest N. Iandola

58 papers A* 7A 2B 3C 4Misc 5Journal 28Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A conf
Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds.
WACV
Xiaoyu Xiang, Liat Sless Gorelik, Yuchen Fan, Omri Armstrong, Forrest N. Iandola, Yilei Li, Ita Lifshitz, Rakesh Ranjan
2025 A conf
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.
AISTATS
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024 J jnl
Efficient Track Anything.
CoRR
Yunyang Xiong, Chong Zhou, Xiaoyu Xiang, Lemeng Wu, Chenchen Zhu, Zechun Liu, Saksham Suri, Balakrishnan Varadarajan, Ramya Akula, Forrest N. Iandola, Raghuraman Krishnamoorthi, Bilge Soran, Vikas Chandra
2024 A* conf
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.
CVPR
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
2024 Misc conf
Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition.
ICASSP
Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra
2024 Misc conf
In-Context Prompt Editing for Conditional Audio Generation.
ICASSP
Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
2024 J jnl
Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds.
CoRR
Xiaoyu Xiang, Liat Sless Gorelik, Yuchen Fan, Omri Armstrong, Forrest N. Iandola, Yilei Li, Ita Lifshitz, Rakesh Ranjan
2024 A* conf
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.
ICML
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
2024 J jnl
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.
CoRR
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
2024 Misc conf
On the Open Prompt Challenge in Conditional Audio Generation.
ICASSP
Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra
2024 Misc conf
Stack-and-Delay: A New Codebook Pattern for Music Generation.
ICASSP
Gaël Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
2024 J jnl
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.
CoRR
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024 A* conf
Taming Mode Collapse in Score Distillation for Text-to-3D Generation.
CVPR
Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024 J jnl
Taming Mode Collapse in Score Distillation for Text-to-3D Generation.
CoRR
Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2023 J jnl
CVPR 2023 Text Guided Video Editing Competition.
CoRR
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
2023 J jnl
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.
CoRR
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
2023 J jnl
Enhance audio generation controllability through representation similarity regularization.
CoRR
Yangyang Shi, Gaël Le Lan, Varun Nagaraja, Zhaoheng Ni, Xinhao Mei, Ernie Chang, Forrest N. Iandola, Yang Liu, Vikas Chandra
2023 J jnl
Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition.
CoRR
Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Ernie Chang, Yangyang Shi, Vikas Chandra
2023 J jnl
In-Context Prompt Editing For Conditional Audio Generation.
CoRR
Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
2023 J jnl
On The Open Prompt Challenge In Conditional Audio Generation.
CoRR
Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra
2023 J jnl
SqueezeSAM: User friendly mobile interactive segmentation.
CoRR
Balakrishnan Varadarajan, Bilge Soran, Forrest N. Iandola, Xiaoyu Xiang, Yunyang Xiong, Lemeng Wu, Chenchen Zhu, Raghuraman Krishnamoorthi, Vikas Chandra
2023 J jnl
Stack-and-Delay: a new codebook pattern for music generation.
CoRR
Gaël Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra
2020 — conf
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
SustaiNLP@EMNLP
Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer
2020 J jnl
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
CoRR
Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer
2019 — conf
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning.
CVPR Workshops
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
2019 — conf
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning.
CVPR Workshops
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
2019 J jnl
SqueezeNAS: Fast neural architecture search for faster semantic segmentation.
CoRR
Albert E. Shaw, Daniel Hunter, Forrest N. Iandola, Sammy Sidhu
2018 J jnl
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning.
CoRR
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola
2017 J jnl
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures.
CoRR
Forrest N. Iandola, Kurt Keutzer
2017 C conf
Shallow Networks for High-accuracy Road Object-detection.
VEHITS
Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
2017 Misc conf
Small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures.
CODES+ISSS
Forrest N. Iandola, Kurt Keutzer
2017 — conf
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving.
CVPR Workshops
Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer
2016 J jnl
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms.
CoRR
Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer
2016 B conf
Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms.
WiMob
Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer
2016 J jnl
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale.
CoRR
Forrest N. Iandola
2016 — —
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale.
Forrest N. Iandola
2016 A* conf
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters.
CVPR
Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer
2016 J jnl
How to scale distributed deep learning?
CoRR
Peter H. Jin, Qiaochu Yuan, Forrest N. Iandola, Kurt Keutzer
2016 C conf
STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication.
SBAC-PAD
Steena Monteiro, Forrest N. Iandola, Daniel Wong
2016 J jnl
Shallow Networks for High-Accuracy Road Object-Detection.
CoRR
Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
2016 J jnl
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving.
CoRR
Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer
2016 J jnl
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size.
CoRR
Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally, Kurt Keutzer
2015 B conf
Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling.
ICMR
Khalid Ashraf, Benjamin Elizalde, Forrest N. Iandola, Matthew W. Moskewicz, Julia Bernd, Gerald Friedland, Kurt Keutzer
2015 J jnl
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer.
CoRR
Forrest N. Iandola, Anting Shen, Peter Gao, Kurt Keutzer
2015 A* conf
Deformable part models are convolutional neural networks.
CVPR
Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik
2015 J jnl
FireCaffe: near-linear acceleration of deep neural network training on compute clusters.
CoRR
Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer
2015 A* conf
From captions to visual concepts and back.
CVPR
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
2015 — conf
libHOG: Energy-Efficient Histogram of Oriented Gradient Computation.
ITSC
Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
2014 J jnl
Deformable Part Models are Convolutional Neural Networks.
CoRR
Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik
2014 J jnl
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.
CoRR
Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer
2014 J jnl
From Captions to Visual Concepts and Back.
CoRR
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
2013 B conf
Communication-minimizing 2D convolution in GPU registers.
ICIP
Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer
2013 A* conf
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
ICCV
Ning Zhang, Ryan Farrell, Forrest N. Iandola, Trevor Darrell
2013 — conf
Optimal load management system for Aircraft Electric Power distribution.
CDC
Mehdi Maasoumy, Pierluigi Nuzzo, Forrest N. Iandola, Maryam Kamgarpour, Alberto L. Sangiovanni-Vincentelli, Claire J. Tomlin
2012 C conf
On schedulability and time composability of data aggregation networks.
FUSION
Fatemeh Saremi, Praveen Jayachandran, Forrest N. Iandola, Md. Yusuf Sarwar Uddin, Tarek F. Abdelzaher, Aylin Yener
2011 — conf
Linear Clutter Removal from Urban Panoramas.
ISVC (2)
Mahsa Kamali, Eyal Ofek, Forrest N. Iandola, Ido Omer, John C. Hart
2011 — conf
MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage.
ISVC (1)
Mahsa Kamali, Forrest N. Iandola, Hui Fang, John C. Hart
2011 C conf
Real-time capacity of networked data fusion.
FUSION
Forrest N. Iandola, Fatemeh Saremi, Tarek F. Abdelzaher, Praveen Jayachandran, Aylin Yener