libl785

2DOFRobotDataCollection

Creating example 2DOF robot trajectories

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

Awesome-Trajectory-Prediction

FLN-EPN-RPN

This repository contains the source code of the CVPR 2020 paper: "Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior"

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

next-prediction

Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019

tad-IROS2019-TBD-

Code of the Unsupervised Traffic Accident Detection paper in Pytorch.

TrajectoryDrawing

Detecting the moving of the pedestrians and the cyclers via Faster-RNN framework

video2calibration

Camera intrinsic parameters calibration from chessboard video sequence.

libl785/FLN-EPN-RPN

This repository contains the source code of the CVPR 2020 paper: "Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior"

libl785/next-prediction

Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019

libl785/BiTraP_NP

BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation

libl785/Faster-R_CNN-Implementation-of-Video-Segmentation-with-Kinematic-Prediction

This PyTorch 1.0 compatible, R-CNN-based video segmentation algorithm uses physics to predict bounding boxes in future frames

libl785/LaND

libl785/libmot

A Library of Multi-Object Tracking

libl785/master_thesis

Predicting future bounding boxes of dynamic obstacles from an egocentric perspective. Work in progress

libl785/MCENET

libl785/models

Models and examples built with TensorFlow

libl785/Multiple-Object-Forecasting

Repo for the paper 'Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments'. WACV 2020

libl785/muscleTorch

libl785/njustPhDRoad

从开题到离校——南京理工大学博士毕业之路

libl785/OpenBVE

libl785/PIE

Annotations for Pedestrian Intention Estimation (PIE) dataset

libl785/PIEPredict

PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction

libl785/PiP-Planning-informed-Prediction

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

libl785/Prediction-Phase-in-the-trajectory-generation-of-cars

In general, the way we think about handling multi-modal uncertainty is by maintaining some beliefs about how probable each potential mode is.

libl785/pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

libl785/Python-ELM

Extreme Learning Machine implementation in Python

libl785/RVL-Dynamic

Code for "Prior Guided Dropout for Robust Visual Localization in Dynamic Environments" in ICCV 2019

libl785/SMARTS

Scalable Multi-Agent RL Training School for Autonomous Driving

libl785/Social-Distancing-Detector

An AI Tool to Help Customers Monitor Social Distancing in the Workplace.

libl785/Social-STGCNN

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

libl785/tad-IROS2019

Code of the Unsupervised Traffic Accident Detection paper in Pytorch.

libl785/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.

libl785/Trajectron-plus-plus

Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

libl785/vision-transformer

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

libl785/ViT

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

libl785/YicongPeng

libl785/Yolo_mark

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2