Forrest N. Iandola
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
13
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | 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 |
| 2025 | ICCV | Efficient Track Anything. | 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 |
| 2025 | WACV | Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds. | Xiaoyu Xiang, Liat Sless Gorelik, Yuchen Fan, Omri Armstrong, Forrest N. Iandola, Yilei Li, Ita Lifshitz, Rakesh Ranjan |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | ICASSP | In-Context Prompt Editing for Conditional Audio Generation. | Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gal Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | Stack-and-Delay: A New Codebook Pattern for Music Generation. | Gal Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra |
| 2024 | ICASSP | 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 |
| 2024 | ICML | 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 |
| 2020 | EMNLP | SqueezeBERT: What can computer vision teach NLP about efficient neural networks? | Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer |
| 2019 | CVPR | 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 |
| 2019 | CVPR | 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 |
| 2017 | CVPR | 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 |
| 2017 | VEHITS | Shallow Networks for High-accuracy Road Object-detection. | Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer |
| 2016 | CVPR | FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters. | Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer |
| 2016 | WiMob | Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms. | Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer |
| 2016 | SBAC-PAD | STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication. | Steena Monteiro, Forrest N. Iandola, Daniel Wong |
| 2015 | CVPR | From captions to visual concepts and back. | Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollr, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig |
| 2015 | CVPR | Deformable part models are convolutional neural networks. | Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik |
| 2013 | ICCV | Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction. | Ning Zhang, Ryan Farrell, Forrest N. Iandola, Trevor Darrell |
| 2013 | ICIP | Communication-minimizing 2D convolution in GPU registers. | Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer |
| 2012 | FUSION | 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 |
| 2011 | FUSION | Real-time capacity of networked data fusion. | Forrest N. Iandola, Fatemeh Saremi, Tarek F. Abdelzaher, Praveen Jayachandran, Aylin Yener |
| 2011 | ISVC | MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage. | Mahsa Kamali, Forrest N. Iandola, Hui Fang, John C. Hart |
| 2011 | ISVC | Linear Clutter Removal from Urban Panoramas. | Mahsa Kamali, Eyal Ofek, Forrest N. Iandola, Ido Omer, John C. Hart |