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htcr's Projects

closed-form-matting icon closed-form-matting

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

color-unmixing icon color-unmixing

Unofficial re-implementation of Aksoy et al.'s soft segmentation method [2017]

dfanet icon dfanet

reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

epipolar icon epipolar

Going through epipolar geometry and 3d reconstruction.

flownet2-pytorch icon flownet2-pytorch

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

gran icon gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

keypoint icon keypoint

A project that goes over old-school key-point detection and description. Panorama stitching and Augmented Reality are also demonstrated.

knn-matting icon knn-matting

Python implementation of KNN Matting, CVPR 2012 / TPAMI 2013 http://dingzeyu.li/projects/knn/

lucas-kanade icon lucas-kanade

Reviewing the old-school Lucas-Kanade tracker. Correlation filter is also covered.

masterpiece icon masterpiece

Neural Artistic Style implemented from scratch with C++ and CUDA.

mpitutorial icon mpitutorial

MPI programming lessons in C and executable code examples

nn-review icon nn-review

Just reviewing the regular neural network stuff. Demonstrates the training and testing of a tiny nn for text classification.

open3d icon open3d

Open3D: A Modern Library for 3D Data Processing

openpose icon openpose

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

pl0-compiler icon pl0-compiler

This is a compiler that complies a c-like language into MIPS assembly.

plane-fitting icon plane-fitting

We fit a 3D plane from noisy points. In this project, we used SVD to find LSE solution. In addition, RANSAC is used for robustness to outliers.

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