Stars
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
Paper and Codes for “RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection” (ICCV2021)
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Implementation of "Spectral Feature Tansformation for Person Re-identification"
My implementation of Spectral-Feature-Transformation-ReID, link to the paper: https://arxiv.org/abs/1811.11405
A Simple and Versatile Framework for Object Detection and Instance Recognition
Multi-shot Pedestrian Re-identification via Sequential Decision Making (CVPR2018)
A Robust and Versatile Monocular Visual-Inertial State Estimator
Understanding Convolution for Semantic Segmentation
MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
Simple, efficient and flexible vision toolbox for mxnet framework.
FBN: Factorized Bilinear Models for Image Recognition (ICCV 2017)
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
implement center loss operator for mxnet
MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd
li-haoran / DRL-FlappyBird
Forked from floodsung/DRL-FlappyBirdPlaying Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using MXNet)
Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet