Search Results for author: Peyman Gholami

Found 6 papers, 1 papers with code

Streamlining Image Editing with Layered Diffusion Brushes

no code implementations1 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.

Attribute Denoising +1

Improved Generalization Bounds for Communication Efficient Federated Learning

no code implementations17 Apr 2024 Peyman Gholami, Hulya Seferoglu

This paper focuses on reducing the communication cost of federated learning by exploring generalization bounds and representation learning.

Federated Learning Generalization Bounds +1

DIGEST: Fast and Communication Efficient Decentralized Learning with Local Updates

1 code implementation14 Jul 2023 Peyman Gholami, Hulya Seferoglu

Two widely considered decentralized learning algorithms are Gossip and random walk-based learning.

Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images

no code implementations31 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).

Image Inpainting Image-Variation

AutoDepthNet: High Frame Rate Depth Map Reconstruction using Commodity Depth and RGB Cameras

no code implementations24 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.

Depth Estimation Optical Flow Estimation +3

OCTID: Optical Coherence Tomography Image Database

no code implementations17 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.

Image Segmentation Segmentation +1

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