Biao Yang's starred repositories
navigation2
ROS 2 Navigation Framework and System
GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
pytorch-value-iteration-networks
Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Contrastive-Future-Trajectory-Prediction
The official repository of the ICCV paper "On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors"
Off-Road-Visual-Navigation
Real-Time Neural Visual Navigation for Autonomous Off-Road Robots. Predict collision-free trajectories from RGB images in unstructured environments.
action_recognite
基于lightopenpose的跌倒、运动动作训练与识别
RSCD-Road_Surface_Classification_Dataset
A large-scale road surface image classification dataset for driving assistance applications
stable-diffusion
A latent text-to-image diffusion model
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
PedestrianActionBenchmark
Code and models for the WACV 2021 paper "Benchmark for evaluating pedestrian action prediction"
Pedestrian_graph_plus
the Pedestrian_graph_plus implementation
ME-GraphAU
[IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code
TransEditor
[CVPR 2022] TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
SGNet.pytorch
Pytorch Implementation for Stepwise Goal-Driven Networks for Trajectory Prediction (RA-L/ICRA2022)
Human-Path-Prediction
State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.
CVPR2024-Papers-with-Code-Demo
收集 CVPR 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐!Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!