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ORCIDForrest N. Iandola
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2020 – today
- 2024
[c27]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CVPR 2024: 9037-9047- [c26]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. CVPR 2024: 16111-16121 - [c25]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: 796-800 - [c24]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: 5315-5319 - [c23]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: 5320-5324 - [c22]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: 11901-11905 - [c21]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. ICML 2024 - [i26]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 abs/2401.00604 (2024) - [i25]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR abs/2401.00909 (2024) - [i24]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 abs/2402.14905 (2024) - 2023
- [i23]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 abs/2309.07988 (2023) - [i22]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 abs/2309.08773 (2023) - [i21]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 abs/2309.08804 (2023) - [i20]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 abs/2310.16003 (2023) - [i19]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 abs/2311.00895 (2023) - [i18]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 abs/2311.00897 (2023) - [i17]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 abs/2312.00863 (2023) - [i16]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 abs/2312.06736 (2023) - 2020
- [c20]Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer:
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? SustaiNLP@EMNLP 2020: 124-135 - [i15]Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer:
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? CoRR abs/2006.11316 (2020)
2010 – 2019
- 2019
- [c19]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: 128-136 - [c18]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: 1317-1325 - [i14]Albert E. Shaw, Daniel Hunter, Forrest N. Iandola, Sammy Sidhu:
SqueezeNAS: Fast neural architecture search for faster semantic segmentation. CoRR abs/1908.01748 (2019) - 2018
- [i13]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 abs/1811.07070 (2018) - 2017
- [c17]Forrest N. Iandola, Kurt Keutzer:
Small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures. CODES+ISSS 2017: 1:1-1:10 - [c16]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: 446-454 - [c15]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-accuracy Road Object-detection. VEHITS 2017: 33-40 - [i12]Forrest N. Iandola, Kurt Keutzer:
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures. CoRR abs/1710.02759 (2017) - 2016
- [b1]Forrest N. Iandola:
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale. University of California, Berkeley, USA, 2016 - [c14]Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer:
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters. CVPR 2016: 2592-2600 - [c13]Steena Monteiro, Forrest N. Iandola, Daniel Wong
:
STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication. SBAC-PAD 2016: 93-100 - [c12]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: 1-10 - [i11]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 abs/1602.07360 (2016) - [i10]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 abs/1606.00094 (2016) - [i9]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-Accuracy Road Object-Detection. CoRR abs/1606.01561 (2016) - [i8]Peter H. Jin, Qiaochu Yuan, Forrest N. Iandola, Kurt Keutzer:
How to scale distributed deep learning? CoRR abs/1611.04581 (2016) - [i7]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 abs/1612.01051 (2016) - [i6]Forrest N. Iandola:
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale. CoRR abs/1612.06519 (2016) - 2015
- [c11]Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik:
Deformable part models are convolutional neural networks. CVPR 2015: 437-446 - [c10]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: 1473-1482 - [c9]Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
libHOG: Energy-Efficient Histogram of Oriented Gradient Computation. ITSC 2015: 1248-1254 - [c8]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: 611-614 - [i5]Forrest N. Iandola, Anting Shen, Peter Gao, Kurt Keutzer:
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer. CoRR abs/1510.02131 (2015) - [i4]Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer:
FireCaffe: near-linear acceleration of deep neural network training on compute clusters. CoRR abs/1511.00175 (2015) - 2014
- [i3]Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer:
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids. CoRR abs/1404.1869 (2014) - [i2]Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik:
Deformable Part Models are Convolutional Neural Networks. CoRR abs/1409.5403 (2014) - [i1]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 abs/1411.4952 (2014) - 2013
- [c7]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: 2939-2945 - [c6]Ning Zhang, Ryan Farrell, Forrest N. Iandola, Trevor Darrell:
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction. ICCV 2013: 729-736 - [c5]Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer:
Communication-minimizing 2D convolution in GPU registers. ICIP 2013: 2116-2120 - 2012
- [c4]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: 997-1004 - 2011
- [c3]Forrest N. Iandola, Fatemeh Saremi, Tarek F. Abdelzaher, Praveen Jayachandran, Aylin Yener:
Real-time capacity of networked data fusion. FUSION 2011: 1-8 - [c2]Mahsa Kamali, Eyal Ofek, Forrest N. Iandola, Ido Omer, John C. Hart:
Linear Clutter Removal from Urban Panoramas. ISVC (2) 2011: 85-94 - [c1]Mahsa Kamali, Forrest N. Iandola, Hui Fang, John C. Hart:
MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage. ISVC (1) 2011: 102-111
Coauthor Index
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