Amir Erfan Eshratifar

24 papers A* 2A 2C 1Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SCOT: Self-Supervised Contrastive Pretraining For Zero-Shot Compositional Retrieval. CoRR Bhavin Jawade, João V. B. Soares, Kapil Thadani, Deen Dayal Mohan, Amir Erfan Eshratifar, Benjamin Culpepper, Paloma de Juan, Srirangaraj Setlur, Venu Govindaraju
2025	A	`conf`	SCOT: Self-Supervised Contrastive Pretraining for Zero-Shot Compositional Retrieval. WACV Bhavin Jawade, João V. B. Soares, Kapil Thadani, Deen Dayal Mohan, Amir Erfan Eshratifar, Benjamin Culpepper, Paloma de Juan, Srirangaraj Setlur, Venu Govindaraju
2024	—	`conf`	Salient Object-Aware Background Generation using Text-Guided Diffusion Models. CVPR Workshops Amir Erfan Eshratifar, João V. B. Soares, Kapil Thadani, Shaunak Mishra, Mikhail Kuznetsov, Yueh-Ning Ku, Paloma de Juan
2024	J	`jnl`	Salient Object-Aware Background Generation using Text-Guided Diffusion Models. CoRR Amir Erfan Eshratifar, João V. B. Soares, Kapil Thadani, Shaunak Mishra, Mikhail Kuznetsov, Yueh-Ning Ku, Paloma de Juan
2021	J	`jnl`	Coarse2Fine: a two-stage training method for fine-grained visual classification. Mach. Vis. Appl. Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram
2021	J	`jnl`	JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services. IEEE Trans. Mob. Comput. Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram
2020	—	`conf`	Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. ISQED Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
2020	J	`jnl`	Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. CoRR Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
2020	J	`jnl`	Run-time Deep Model Multiplexing. CoRR Amir Erfan Eshratifar, Massoud Pedram
2020	C	`conf`	Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference. ICCD Amir Erfan Eshratifar, Massoud Pedram
2020	A*	`conf`	Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract). AAAI Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish
2019	A*	`conf`	A Meta-Learning Approach for Custom Model Training. AAAI Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
2019	A	`conf`	BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. ISLPED Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
2019	J	`jnl`	BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. CoRR Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
2019	J	`jnl`	Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification. CoRR Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram
2019	—	`conf`	Towards Collaborative Intelligence Friendly Architectures for Deep Learning. ISQED Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
2019	J	`jnl`	Towards Collaborative Intelligence Friendly Architectures for Deep Learning. CoRR Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
2019	J	`jnl`	Video Person Re-ID: Fantastic Techniques and Where to Find Them. CoRR Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish
2018	J	`jnl`	A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA. CoRR Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram
2018	J	`jnl`	A Meta-Learning Approach for Custom Model Training. CoRR Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
2018	—	`conf`	A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA. ISQED Mahdi Nazemi, Amir Erfan Eshratifar, Massoud Pedram
2018	—	`conf`	Energy and Performance Efficient Computation Offloading for Deep Neural Networks in a Mobile Cloud Computing Environment. ACM Great Lakes Symposium on VLSI Amir Erfan Eshratifar, Massoud Pedram
2018	J	`jnl`	Gradient Agreement as an Optimization Objective for Meta-Learning. CoRR Amir Erfan Eshratifar, David Eigen, Massoud Pedram
2018	J	`jnl`	JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services. CoRR Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram