ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models

1 code implementation • 6 Oct 2023 • Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C Del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar

Large Language Models (LLMs) with billions of parameters have drastically transformed AI applications.

NeuMan: Neural Human Radiance Field from a Single Video

1 code implementation • 23 Mar 2022 • Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan

Photorealistic rendering and reposing of humans is important for enabling augmented reality experiences.

Automatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks

no code implementations • 17 Jun 2021 • Golnoosh Samei, Davood Karimi, Claudia Kesch, Septimiu Salcudean

In this work we propose to segment the prostate on a challenging dataset of trans-rectal ultrasound (TRUS) images using convolutional neural networks (CNNs) and statistical shape models (SSMs).

Segmentation

A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging

no code implementations • 27 Jan 2019 • Davood Karimi, Golnoosh Samei, Yanan Shao, Septimiu Salcudean

A global CNN will determine a prostate bounding box, which is then resampled and sent to a local CNN for accurate delineation of the prostate boundary.

Data Augmentation Segmentation