IEEE

Object Detection Data Synthesis via Box-to-Image Generation Based on Diffusion Models

Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...
GitHub

LMNet: Moving Object Segmentation in 3D LiDAR Data

This repo contains the code for our paper: Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data PDF. Our approach accurately segments the scene into moving ...
GitHub

MITRE ATT&CK® Data Model

The ATT&CK Data Model (ADM) provides a type-safe, object-oriented interface for working with MITRE ATT&CK datasets. Built on STIX 2.1 compliance, it uses Zod schemas and TypeScript types to ensure ...
IEEE

3D Multi-Object Tracking in Point Clouds Based on Prediction Confidence-Guided Data Association

Abstract: This paper proposes a new 3D multi-object tracker to more robustly track objects that are temporarily missed by detectors. Our tracker can better leverage object features for 3D Multi-Object ...