mlahoud Goto Github PK
Name: Marcel Lahoud
Type: User
Bio: PhD Student in Robotics at Istituto Italiano di Tecnologia (IIT) and Università di Genova (UniGe).
Marcel Lahoud's Projects
4fingershandpython
Animated Hand Using Python
acid
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
agency-jekyll-theme
Agency Theme for Jekyll
all-contributors
✨ Recognize all contributors, not just the ones who push code ✨
arm
Robot arm simulation using Gazebo, ROS Control and MoveIt.
aruco_ros
Software package and ROS wrappers of the Aruco Augmented Reality marker detector library
assignment1
ROS1 assignment
assignment2
ROS2 assignment
bundletrack
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
cartesian_controllers
A set of Cartesian controllers for the ROS-control framework.
cubepuzzle
A Unity Game
deep_lagrangian_networks
Open-source implementation of Deep Lagrangian Networks (DeLaN)
depthai_hand_tracker
Running Google Mediapipe Hand Tracking models on Luxonis DepthAI hardware (OAK-D-lite, OAK-D, OAK-1,...)
dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
dog_simulation
a ros package of a dog gait sumulation
freesolo
FreeSOLO for unsupervised instance segmentation, CVPR 2022
graspnet-baseline
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
handover-sim
A simulation environment and benchmark for human-to-robot object handovers
hl2ss
HoloLens 2 Sensor Streaming.
hololens2forcv
Sample code and documentation for using the Microsoft HoloLens 2 for Computer Vision research.
lagrangian_nns
Lagrangian Neural Networks
librealsense
Intel® RealSense™ SDK
mano_pybullet
Porting the MANO hand model to the PyBullet simulator
mask_rcnn_tf_2.x
It is modified tensorflow 2.x version of mask-rcnn.
maxon_epos_ros
ROS package for MAXON motor and EPOS driver
mlahoud.github.io
Mlahoud's personal website
mopac
Model Predictive Actor-Critic Reinforcement Learning
movement_primitives
Dynamical movement primitives (DMPs), probabilistic movement primitives (ProMPs), and spatially coupled bimanual DMPs for imitation learning.
onepose
Code for "OnePose: One-Shot Object Pose Estimation without CAD Models", CVPR 2022
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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