Amir Erfan Eshratifar

Orcid: 0000-0002-1339-7671

According to our database1, Amir Erfan Eshratifar authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Salient Object-Aware Background Generation using Text-Guided Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2021
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services.
IEEE Trans. Mob. Comput., 2021

Coarse2Fine: a two-stage training method for fine-grained visual classification.
Mach. Vis. Appl., 2021

2020
Run-time Deep Model Multiplexing.
CoRR, 2020

Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space.
Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference.
Proceedings of the 38th IEEE International Conference on Computer Design, 2020

Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Video Person Re-ID: Fantastic Techniques and Where to Find Them.
CoRR, 2019

Towards Collaborative Intelligence Friendly Architectures for Deep Learning.
Proceedings of the 20th International Symposium on Quality Electronic Design, 2019

BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services.
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

A Meta-Learning Approach for Custom Model Training.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Gradient Agreement as an Optimization Objective for Meta-Learning.
CoRR, 2018

A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Energy and Performance Efficient Computation Offloading for Deep Neural Networks in a Mobile Cloud Computing Environment.
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018


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