Forrest Iandola

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Forrest Iandola, Song Han, Matthew W. Moskewicz et al. · arXiv (Cornell University) · 2016 · 5.9K citations · Full text

From captions to visual concepts and back

Hao Fang, Saurabh Gupta, Forrest Iandola et al. · 2015 · 1.3K citations

Natural Language Processing, Multimodal Llm, Image Descriptions +15

DenseNet: Implementing Efficient ConvNet Descriptor Pyramids

Forrest Iandola, Matthew W. Moskewicz, Sergey Karayev et al. · arXiv (Cornell University) · 2014 · 655 citations · Full text

Image Classification, Convolutional Neural Network, Machine Vision +13

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and &lt;0.5MB model size

Forrest Iandola, Song Han, Matthew W. Moskewicz et al. · arXiv (Cornell University) · 2016 · 654 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +18

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

Alvin Wan, Forrest Iandola, Peter H. Jin et al. · 2017 · 582 citations

Convolutional Neural Network, Image Analysis, Machine Vision +15