Learning Generalized Spoof Cues for FaceAnti-spoofing

Single-Side Domain Generalization for Face Anti-Spoofing, CVPR2020

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification

Monocular Depth Prediction

Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections (Python3/PyTorch)

Deep Image Matting implementation in PyTorch

Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

PyTorch implementation for LayoutNet v2 in the paper: "3D Manhattan Room Layout Reconstruction from a Single 360 Image"

Pytorch demo code of our CVPR 2019 paper: DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

[CVPR'19] Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding

PyTorch Code for paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

A no dependency, header-only, license free, fast supervoxel segmentation library for 3D point clouds

starter from "How to Train a GAN?" at NIPS2016

Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019

Fork of https://github.com/ergysr/DeepCC

Implementation of Zhang, Z., "A Flexible New Technique for Camera Calibration" (2000).

Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"

Pytorch implementation of LayoutNet.

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

Vehicle detection and speed measurement system

"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。