Alert button
Picture for Mohammad Javad Shafiee

Mohammad Javad Shafiee

Alert button

Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving

Sep 12, 2019
Mohammad Javad Shafiee, Mirko Nentwig, Yohannes Kassahun, Francis Li, Stanislav Bochkarev, Akif Kamal, David Dolson, Secil Altintas, Arif Virani, Alexander Wong

Figure 1 for Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving
Figure 2 for Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving
Figure 3 for Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving
Figure 4 for Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving
Viaarxiv icon

Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates

Nov 06, 2018
Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong

Figure 1 for Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates
Figure 2 for Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates
Figure 3 for Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates
Figure 4 for Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates
Viaarxiv icon

MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification

Oct 03, 2018
Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules

Figure 1 for MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification
Figure 2 for MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification
Figure 3 for MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification
Figure 4 for MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification
Viaarxiv icon

FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis

Sep 17, 2018
Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li

Figure 1 for FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis
Figure 2 for FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis
Viaarxiv icon

Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition

Jun 08, 2018
Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong

Figure 1 for Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition
Figure 2 for Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition
Figure 3 for Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition
Figure 4 for Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition
Viaarxiv icon

Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection

Feb 19, 2018
Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl

Figure 1 for Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection
Figure 2 for Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection
Figure 3 for Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection
Figure 4 for Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection
Viaarxiv icon

StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks

Jan 16, 2018
Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong

Figure 1 for StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks
Figure 2 for StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks
Figure 3 for StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks
Figure 4 for StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks
Viaarxiv icon

SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis

Nov 20, 2017
Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Alexander Wong

Figure 1 for SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis
Figure 2 for SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis
Viaarxiv icon

Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection

Oct 20, 2017
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

Viaarxiv icon

Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection

Sep 24, 2017
Mohammad Javad Shafiee, Alexander Wong

Figure 1 for Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection
Figure 2 for Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection
Figure 3 for Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection
Viaarxiv icon