Sotabase

Career

· AI Research Scientist, Meta2022–
· Researcher, Anduril Industries2020–
· Researcher, Tesla2019–
· CEO and Co-Founder, DeepScale2015–
· PhD Student, UC Berkeley2012–

Publications (29)

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size
arXiv.org · 2016
8,190
cited
From captions to visual concepts and back
Computer Vision and Pattern Recognition · 2014
1,346
cited
- LEVEL ACCURACY WITH 50 X FEWER PARAMETERS AND < 0 . 5 MB MODEL SIZE
2016
647
cited
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2016
530
cited
Deformable part models are convolutional neural networks
Computer Vision and Pattern Recognition · 2014
465
cited
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters
Computer Vision and Pattern Recognition · 2015
309
cited
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction
IEEE International Conference on Computer Vision · 2013
244
cited
How to scale distributed deep learning?
arXiv.org · 2016
138
cited
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
SUSTAINLP · 2020
136
cited
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer
arXiv.org · 2015
83
cited
SqueezeNAS: Fast Neural Architecture Search for Faster Semantic Segmentation
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) · 2019
78
cited
Shallow Networks for High-accuracy Road Object-detection
International Conference on Vehicle Technology and Intelligent Transport Systems · 2016
55
cited
CVPR 2023 Text Guided Video Editing Competition
arXiv.org · 2023
49
cited
Optimal load management system for Aircraft Electric Power distribution
IEEE Conference on Decision and Control · 2013
42
cited
Keynote: small neural nets are beautiful: enabling embedded systems with small deep-neural- network architectures
International Conference on Hardware/Software Codesign and System Synthesis · 2017
38
cited
Communication-minimizing 2D convolution in GPU registers
2013 IEEE International Conference on Image Processing · 2013
29
cited
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
arXiv.org · 2016
19
cited
Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling
International Conference on Multimedia Retrieval · 2015
18
cited
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2018
11
cited
Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms
IEEE International Conference on Wireless and Mobile Computing, Networking and Communications · 2016
8
cited
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