hkzhang-git

3D-FUTURE-ToolBox

FUTURE3D Toolbox: Rendering, Projection, and Re-Projection

AutoDeepExtremeCut

autodeeplab

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

camera_sim

CompressionVAE

General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.

CVPR2020-Paper-Code-Interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

DynamicRouting

Learning Dynamic Routing for Semantic Segmentation

hnsw-python

hnsw implemented by python

if-net

nerf

Code release for NeRF (Neural Radiance Fields)

PF-Net-Point-Fractal-Network

CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion

PLARD

Progressive LiDAR Adaptation for Road Detection

RandWireNN

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Reducing-the-Dimensionality-of-Data-with-Neural-Networks

Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)

regnet

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

RegNet-Pytorch

PyTorch reimplementation of RegNet (Design Space Design, CVPR2020) on CIFAR10 and ImageNet

Relation-Shape-CNN

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

Revisiting_Single_Depth_Estimation

official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"

RGBD_action_recognition_master

code for paper "RGB-D Based Action Recognition with Light-weight 3D Convolutional Networks"