Mapping 3D-super-enhancers with machine learning to pinpoint regulators of cell identity

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...
eLife

Contractile peri-nuclear actomyosin network repositions peripheral and polar chromosomes to promote early kinetochore–microtubule interactions

This important study demonstrates that a peri-nuclear actomyosin network, present in some types of human cells, facilitates kinetochore-spindle attachment of chromosomes in unfavorable locations - ...
IEEE

Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-Labeling

Abstract: Learning to build 3D scene graphs is essential for real-world perception in a structured and rich fashion. However, previous 3D scene graph generation methods utilize a fully supervised ...
IEEE

Graph-DETR4D: Spatio-Temporal Graph Modeling for Multi-View 3D Object Detection

Abstract: Multi-View 3D object detection (MV3D) has made tremendous progress by leveraging multiple perspective features through surrounding cameras. Despite demonstrating promising prospects in ...
GitHub

Memory Knowledge Graph 3D

A 3D visualization tool for memory knowledge graphs using Force Graph 3D. This project visualizes captured memories from the Knowledge Graph Memory Server. Visualizing entities and their relationships ...
GitHub

$AG^2aussian$: Anchor-Graph Structured Gaussian Splatting for Instance-Level 3D Scene Understanding and Editing

The installation of AG2aussian is similar to 3D Gaussian Splatting. Our default, provided install method is based on Conda package and environment management: conda create -n ag2seg python=3.11 conda ...