Yu (Brian) Yao (MoonBlvd)

MoonBlvd

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Company:University of Michigan

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Yu (Brian) Yao's repositories

VideoLLaMA2

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

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DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

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Video-LLaVA

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

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Detection-of-Traffic-Anomaly

This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.

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tad-IROS2019

Code of the Unsupervised Traffic Accident Detection paper in Pytorch.

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Env_setup

A readme file shows how to setup a working environment.

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fvl-ICRA2019

Official code for future vehicle localization paper implemented in Keras

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bidireaction-trajectory-prediction

The code for Bi-directional Trajectory Prediction (BiTraP).

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Anomaly_Prediction

Pytorch implementation of anomaly prediction.

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keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

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maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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STAR

Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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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).

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jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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TFSegmentation

RTSeg: Real-time Semantic Segmentation Comparative Study

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jetson-detectors

Contains examples and documentation on how to setup your remote development environment from your Windows host to a Jetson device

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deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

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sim_traj

Code for Stochastic Sampling Simulation paper (https://ieeexplore.ieee.org/document/8967857)

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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PIE_annotations

Annotations for Pedestrian Intention Estimation (PIE) dataset

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PIEPredict

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

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ano_pred_cvpr2018

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

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nuscenes-devkit

The devkit of the nuScenes dataset.

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brianyao_hugo

This is the hugo source code of my personal website

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