no code implementations • 1 May 2024 • Peyman Gholami, Robert Xiao
Denoising diffusion models have recently gained prominence as powerful tools for a variety of image generation and manipulation tasks.
no code implementations • 17 Apr 2024 • Peyman Gholami, Hulya Seferoglu
This paper focuses on reducing the communication cost of federated learning by exploring generalization bounds and representation learning.
1 code implementation • 14 Jul 2023 • Peyman Gholami, Hulya Seferoglu
Two widely considered decentralized learning algorithms are Gossip and random walk-based learning.
no code implementations • 31 May 2023 • Peyman Gholami, Robert Xiao
Existing techniques to fine-tune generated images are time-consuming (manual editing), produce poorly-integrated results (inpainting), or result in unexpected changes across the entire image (variation selection and prompt fine-tuning).
no code implementations • 24 May 2023 • Peyman Gholami, Robert Xiao
As a demonstration of our method, we integrated our framework into existing body tracking systems and demonstrated the robustness of the proposed method in such applications.
no code implementations • 17 Dec 2018 • Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy, Vasudevan Lakshminarayanan
We have also included 25 normal OCT images with their corresponding ground truth delineations which can be used for an accurate evaluation of OCT image segmentation.