chenchau

UncertaintyNN

Implementation and evaluation of different approaches to get uncertainty in neural networks

NPSN

Official Code for "Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022)"

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

trajnetplusplustools

Tools for TrajNet++

AMENet

constant_velocity_pedestrian_motion

Code for "What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction", Schöller et al., Robotics and Automation Letters (RA-L), 2020

Lstn_fdst_dataset

We collected 100 videos captured from 13 different scenes, and FDST dataset contains 150,000 frames, with a total of 394,081 annotated heads.

Multimodal-Future-Prediction

The official repository for the CVPR 2019 paper "Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction"

Contrastive-Future-Trajectory-Prediction

The official repository of the ICCV paper "On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors"

social-nce-trajectron-plus-plus

[ICCV'21] PyTorch implementation of the Social-NCE applied to Trajectron++.

CausalHTP

The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.

KL-Loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

ContrastiveExplanation

Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University

torchmetrics

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

Human-Path-Prediction

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

ai-deadlines

:alarm_clock: AI conference deadline countdowns

Awesome-Interaction-Aware-Trajectory-Prediction

A selection of state-of-the-art research materials on trajectory prediction

pedestrian_intent_action_detection

Code for our paper "Coupling Intent and Action for Pedestrian Crossing Behavior Prediction"

traffic-surveillance-dataset

Set of video-based and multimodal traffic surveillance datasets. Special interest on intersection surveillance. No onboard data

interaction-dataset

Interaction Dataset Python Scripts

SF-GRU

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

OpenTraj

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

LSTM-autoencoder

TensorFlow LSTM-autoencoder implementation

Pedestrian_Crossing_Intention_Prediction

Pedestrian Crossing Intention Prediction with Feature Fusion and Spatio-Temporal Attention.

attention_and_driving

A curated list of peer-reviewed papers on theoretical and practical aspects of drivers' attention used for paper "Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets" and report on "Behavioral research and practical models of drivers' attention".

PedestrianActionBenchmark

Code and models for the WACV 2021 paper "Benchmark for evaluating pedestrian action prediction"

machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

Scene-LSTM

Data and Code for "Scene-LSTM: A model for human trajectory prediction" (ISVC 2019)