Amir Erfan Eshratifar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Dimensionality Reduction

Cloud Computing

Diffusion Models

Top Venues

Publications

Amir Erfan Eshratifar, Joao V. B. Soares, Kapil Thadani, Shaunak Mishra, Mikhail Kuznetsov, Yueh-Ning Ku, Paloma de Juan
Salient Object-Aware Background Generation using Text-Guided Diffusion Models. CoRR (2024)
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services. IEEE Trans. Mob. Comput. 20 (2) (2021)
Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram
Coarse2Fine: a two-stage training method for fine-grained visual classification. Mach. Vis. Appl. 32 (2) (2021)
Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. ISQED (2020)
Amir Erfan Eshratifar, Massoud Pedram
Run-time Deep Model Multiplexing. CoRR (2020)
Amir Erfan Eshratifar, Massoud Pedram
Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference. ICCD (2020)
Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish
Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract). AAAI (2020)
Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. CoRR (2020)
Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
Towards Collaborative Intelligence Friendly Architectures for Deep Learning. CoRR (2019)
Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
Towards Collaborative Intelligence Friendly Architectures for Deep Learning. ISQED (2019)
Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. ISLPED (2019)
Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish
Video Person Re-ID: Fantastic Techniques and Where to Find Them. CoRR (2019)
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
A Meta-Learning Approach for Custom Model Training. AAAI (2019)
Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram
Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification. CoRR (2019)
Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. CoRR (2019)
Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA. CoRR (2018)
Amir Erfan Eshratifar, David Eigen, Massoud Pedram
Gradient Agreement as an Optimization Objective for Meta-Learning. CoRR (2018)
Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram
A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA. ISQED (2018)
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services. CoRR (2018)
Amir Erfan Eshratifar, Massoud Pedram
Energy and Performance Efficient Computation Offloading for Deep Neural Networks in a Mobile Cloud Computing Environment. ACM Great Lakes Symposium on VLSI (2018)
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
A Meta-Learning Approach for Custom Model Training. CoRR (2018)