Pinned Repositories
AStar
A fast 2D path finding library based on the A* algorithm. Works with both grids and graphs. Supports any .NET variant that supports .NETStandard 2.0 or higher. This library has no external dependencies. The library is licensed under the MIT license.
Awesome-Interaction-aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
caffe
Caffe: a fast open framework for deep learning.
Fusion-LiDAR-Camera
Fusion of LiDAR and Camera
highD-dataset
KittiSeg
A Kitti Road Segmentation model implemented in tensorflow.
LaneGCN
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
learnopencv
Learn OpenCV : C++ and Python Examples
jhtao1860's Repositories
jhtao1860/AStar
A fast 2D path finding library based on the A* algorithm. Works with both grids and graphs. Supports any .NET variant that supports .NETStandard 2.0 or higher. This library has no external dependencies. The library is licensed under the MIT license.
jhtao1860/Awesome-Interaction-aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
jhtao1860/caffe
Caffe: a fast open framework for deep learning.
jhtao1860/Fusion-LiDAR-Camera
Fusion of LiDAR and Camera
jhtao1860/highD-dataset
jhtao1860/KittiSeg
A Kitti Road Segmentation model implemented in tensorflow.
jhtao1860/LaneGCN
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
jhtao1860/learnopencv
Learn OpenCV : C++ and Python Examples
jhtao1860/mmTransformer
[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.
jhtao1860/OpenTLD
C++ implementation of TLD
jhtao1860/ScePT
Code for the CVPR 2022 paper "ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning" by Yuxiao Chen, Boris Ivanovic, and Marco Pavone
jhtao1860/SiamRPNTracker
jhtao1860/STGAT
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction
jhtao1860/TP2Net
TP2Net
jhtao1860/TrackNPred
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
jhtao1860/uber-research-LaneGCN
jhtao1860/vision-based-prediction
Deep Learning for Vision-based Prediction