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Facebook AI Research
- Menlo Park
- https://fujenchu.github.io/
- @FuJenChu1
Stars
easy_sbatch tools for slurm cluster @ fair_pixar
Implementation of Denoising Diffusion Probabilistic Models in PyTorch
Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
An implementation of our RA-L work 'Toward Affordance Detection and Ranking on Novel Objects for Real-world Robotic Manipulation'
An implementation of our RA-L work 'Learning Affordance Segmentation for Real-world Robotic Manipulation via Synthetic Images'
the implementation code of the paper "Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping"
Pytorch code for our AAAI 2020 paper "Path Ranking with Attention to Type Hierarchies"
PyTorch implementation of Gaussian YOLOv3 (including training code for COCO dataset)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)
Implementation of "Toward Affordance Detection and Ranking on Novel Objects for Real-world Robotic Manipulation" submission
ivaROS / ivaDynamixel
Forked from arebgun/dynamixel_motor(IVALab-tailored) ROS stack for interfacing with Robotis Dynamixel line of servo motors.
Home Depot Deep Learning Competition
ros node version of aruco tag saver (by Anina Mu)
An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'
save ground truth with aruco tag (kinect, meta ports)
get socket of RGBD image (from windows) and publish to ROS topic (on linux)
The dataset of our RA-L work 'Learning Affordance Segmentation for Real-world Robotic Manipulation via Synthetic Images'
This repo contains tools to save images of simulated objects in Gazebo for affordance segmentation
Basic Utilities for PyTorch Natural Language Processing (NLP)
a simple Matlab gui for annotating rotated grasping bounding box
Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cor…