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Name: Duke Cyber Physical Systems Lab

Type: Organization

Bio: Duke Cyber Physical Systems Lab (CPSL) research

Location: United States of America

Duke Cyber Physical Systems Lab's Projects

carla-agent icon carla-agent

The ROS project for the CPSL carla development team.

cpsl_ros_vicon_bridge icon cpsl_ros_vicon_bridge

This is a driver providing data from VICON motion capture systems. It is based on the vicon_mocap package from the starmac stacks. Additionally, it can handle multiple subjects / segments and allows to calibrate an origin of the vehicle(s) as this is somehow tedious with the VICON Tracker.

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

gbnet icon gbnet

Bridging Knowledge Graphs to Generate Scene Graphs, ECCV 2020

map icon map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmscenegraph-old icon mmscenegraph-old

ICCV 2021: A brand new hub for Scene Graph Generation methods based on MMdetection (2021). The pipeline of from detection, scene graph generation to downstream tasks (e.g., image cpationing) is supported. Pytorch version implementation of HetH (ECCV 2020) and TopicSG (ICCV 2021) is included.

nlil icon nlil

Neural Logic Inductive Learning

radar-dev icon radar-dev

Sandbox testing for high definition radar point cloud

scene-graph-benchmark.pytorch icon scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

sttran icon sttran

Spatial-Temporal Transformer for Dynamic Scene Graph Generation, ICCV2021

vesc icon vesc

Repository for the VESC Controller (ROS1 and ROS2)

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