Pinned Repositories
read-pbstream
Read pbstream created by cartographer
ocaml-ros
calibrate_lidars
curb
geometric-motion
road-network
acRNN
Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
cartographer_ros
Provides ROS integration for Cartographer.
hlinhn's Repositories
hlinhn/FaceFormer
[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers
hlinhn/hlinhn.github.io
hlinhn/motion-diffusion-model
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
hlinhn/acRNN
Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
hlinhn/minimal-light
A simple and elegant Jekyll theme for an academic personal homepage
hlinhn/Hand4Whole
Official PyTorch implementation of "Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation", CVPRW 2022 (Oral.)
hlinhn/geometric-motion
hlinhn/irt-5340
hlinhn/DeepIRT-tf2
It is the Deep-IRT model implemented in python3 and tensorflow1.13. Deep-IRT model extends the DKVMN model by cooperating with the IRT model.
hlinhn/ContAwareMotionPred
hlinhn/road-boundary
hlinhn/separate-ground
hlinhn/road-network
hlinhn/curb
hlinhn/read-pbstream
Read pbstream created by cartographer
hlinhn/generate_lane
hlinhn/cloud_matching
hlinhn/calibrate_lidars
hlinhn/semi-auto-image-annotation-tool
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model
hlinhn/ocaml-genc
hlinhn/ocaml-ros
hlinhn/Labs
hlinhn/cartographer_ros
Provides ROS integration for Cartographer.
hlinhn/cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
hlinhn/ixxat-socketcan
hlinhn/ndt_omp
Multi-threaded and SSE friendly NDT algorithm
hlinhn/qe
LaTeX style for NUS Qualifying Examination.