We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...
TMCnet

Alliance for OpenUSD Announces New Member Milestones and Industrial Momentum Following Core Specification 1.0

By establishing common schemas for how characters move and react within a scene, the CMI Interest Group ensures that complex digital assets remain portable and functional across different engines, ...
Hacker

Microsoft’s Graphormer: The Transformer That Finally Beats GNNs

We’re on a mission to empower every person and every organization on the planet to achieve more. The Transformer architecture has become a dominant choice in many domains, such as natural language ...
IEEE

Hierarchical Scene Graph Generation With Coarse-to-Fine Reasoning

Abstract: Scene graph generation denotes the process of parsing a visual input into a graph representation for downstream reasoning tasks. Most existing research models input scenes as flat scene ...
GitHub

Open-vacabulary Scene Graph Construction and Monte-Carlo Localization

This code requires building scene graphs and doing relocalization on an offline collected RGBD datatset, e.g., Replica dataset, and AI2THOR (I mainly used), or a rosbag in a real-world scene.
GitHub

Release Real2USD Scene Graph Dataset on Hugging Face

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability ...
Seeking Alpha

Aeva Introduces AevaScenes, the First Open-Access FMCW 4D LiDAR and Camera Dataset for Autonomous Vehicle Research

Public Dataset Features Long-Range FMCW LiDAR and Camera Data to Accelerate Next-Generation Autonomous Vehicle Perception MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- Aeva® (Nasdaq: AEVA), a leader in ...