Yicheng Liu's repositories

VectorMapNet_code

This is the official code base of VectorMapNet (ICML 2023)

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mmTransformer

CVPR 2021 PAPER!!!!! "Multimodal Motion Prediction with Stacked Transformers"

World-Model

ierg5350

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BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

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camviz

Visualization Library

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chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

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colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

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Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

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detr

End-to-End Object Detection with Transformers

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dgp

ML Dataset Governance Policy for Autonomous Vehicle Datasets

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futr3d

Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection

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hedwig

PyTorch deep learning models for document classification

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mile

PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

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moco

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

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MUTR3D-test

Code for Paper, MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries. https://tsinghua-mars-lab.github.io/mutr3d/

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nuscenes-devkit

The devkit of the nuScenes dataset.

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Person_reID_baseline_pytorch

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

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PETR

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection

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pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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suds

Scalable Urban Dynamic Scenes

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Yicheng-Liu

personal page

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