Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
IEEE

Data Security Utilizing a Memristive Coupled Neural Network in 3D Models

Abstract: This article proposes a novel double data security algorithm that first encrypts sensitive data using a two-stage encryption method based on numerical solutions from a fractional-order ...
GitHub

LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D Capabilities

LLaVA-3D could perform both 2D and 3D vision-language tasks. The left block (b) shows that compared with previous 3D LMMs, our LLaVA-3D achieves state-of-the-art performance across a wide range of 3D ...
IEEE

Real-Time and Robust 3D Place Recognition With Adaptive Data Reorganization and Geodesic-Constrained Plane Suppression

Abstract: The place recognition capabilities for long-term autonomous navigation of mobile robots face multiple challenges, including degradation environments, dynamic disturbances, and limited ...
GitHub

FMPose3D: monocular 3D pose estimation via flow matching

FMPose3D creates a 3D pose from a single 2D image. It leverages fast Flow Matching, generating multiple plausible 3D poses via an ODE in just a few steps, then aggregates them using a ...