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YeHanyu's Projects

6dof-graspnet icon 6dof-graspnet

Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.

acvnet icon acvnet

ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching (CVPR 2022)

adabelief-optimizer icon adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

adelaidet icon adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

apc-vision-toolbox icon apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

arflow icon arflow

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

aubo_robot icon aubo_robot

Developed for aubo robot (http://www.aubo-robotics.cn/)

bevfusion icon bevfusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

calc icon calc

Convolutional Autoencoder for Loop Closure

calc2.0 icon calc2.0

CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

crestereo icon crestereo

Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

darknet icon darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dataset-api icon dataset-api

The ApolloScape Open Dataset for Autonomous Driving and its Application.

dbow2 icon dbow2

Enhanced hierarchical bag-of-word library for C++

deepfactors icon deepfactors

Real-Time Probabilistic Dense Monocular SLAM Using Compact Code Representation

deeplearning-500-questions icon 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,近30万字。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[email protected] 版权所有,违权必究 Tan 2018.06

dynaslam icon dynaslam

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

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