84 citations · 87 across the 5 of their papers we have counts for
7 papers
Learning Unified Representations of Normalcy for Time Series Anomaly Detection
Prithul Sarker, Sushmita Sarker, Nicholas G. Murray +1
The core challenge in unsupervised anomaly detection is identifying abnormal patterns without prior knowledge of their characteristics. While existing methods have addressed aspect…
Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds
Gunner Stone, Youngsook Choi, Alireza Tavakkoli +1
Pre-training strategies play a critical role in advancing the performance of transformer-based models for 3D point cloud tasks. In this paper, we introduce Point-RTD (Replaced Toke…
Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation
Gunner Stone, Sushmita Sarker, Alireza Tavakkoli
Generating realistic 3D point clouds is a fundamental problem in computer vision with applications in remote sensing, robotics, and digital object modeling. Existing generative app…
RaceGAN: A Framework for Preserving Individuality while Converting Racial Information for Image-to-Image Translation
Mst Tasnim Pervin, George Bebis, Fang Jiang +1
Generative adversarial networks (GANs) have demonstrated significant progress in unpaired image-to-image translation in recent years for several applications. CycleGAN was the firs…
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?
Sushmita Sarker, Prithul Sarker, George Bebis +1
The remarkable success of deep learning in recent years has prompted applications in medical image classification and diagnosis tasks. While classification models have demonstrated…
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
Sushmita Sarker, Prithul Sarker, Gunner Stone +4
Point cloud analysis has a wide range of applications in many areas such as computer vision, robotic manipulation, and autonomous driving. While deep learning has achieved remarkab…