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QiQiQi DONG's Projects

anonymizer icon anonymizer

An anonymizer to obfuscate faces and license plates.

astgcn-r-pytorch icon astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

disentangled-sequential-autoencoder icon disentangled-sequential-autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

epro-pnp icon epro-pnp

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

gman-pytorch icon gman-pytorch

Implementation of Graph Muti-Attention Network with PyTorch

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

helm icon helm

Hierarchical Neural Networks

highway-env icon highway-env

A minimalist environment for decision-making in autonomous driving

latex-ocr icon latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

lstr icon lstr

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

macad-gym icon macad-gym

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

metadrive icon metadrive

MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

mm-distillnet icon mm-distillnet

PyTorch code for training MM-DistillNet for multimodal knowledge distillation. http://rl.uni-freiburg.de/research/multimodal-distill

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

opencda icon opencda

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

path_planner icon path_planner

Hybrid A* Path Planner for the KTH Research Concept Vehicle

pvcgn icon pvcgn

code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"

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