HsienYu Meng's repositories
FacialCapture
Implementation of paper 'production-level facial performance capture using deep convolutional neural networks'
VV-Net-Voxel-VAE-Net-with-Group-Convolutions-for-Point-Cloud-Segmentation
official implementation for our ICCV 2019 paper : Voxel VAE Net with Group Convolutions for Point Cloud Segmentation
deeplearning.ai-Sequence-Models
programming assignment for Sequence Models
deeplearning.ai-Convolutional-Neural-Networks
programming assignment for Convolutional Neural Networks
Divide-and-Conquer-Sorting-and-Searching-Randomize-Algorithm
Divide and Conquer, Sorting and Searching, and Randomized Algorithms, Stanford, Coursera(https://www.coursera.org/learn/algorithms-divide-conquer/home/welcome)
Deeplearning.ai-ImprovingDeepNeuralNetworks-HyperparameterTuning-RegularizationAndOptimization
programming assignment for Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
deeplearning.ai-NeuralNetworksAndDeepLearning
programming assignment for Neural Networks and Deep Learning
certificate
Certificates from MOOCs
848-hw
Homework Repository for grad level QA Seminar course (CMSC 848Q) at University of Maryland.
compute_rasterizer
Rendering Point Clouds with Compute Shaders
CS231n_Convolutional_Neural_Networks_for_Visual_Recognition_spring2017
homework of CS231n : Convolutional Neural Networks for Visual Recognition http://cs231n.stanford.edu/2017/syllabus.html
Mesh-processing-library
C++ library and programs that demonstrate mesh processing techniques in computer graphics published at ACM SIGGRAPH in 1992–1998
nori-base-2019
Base repository for CS440 assignments (Spring 2019).
nvdiffrast
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
xianyuMeng.github.io
Hsien-Yu Meng personal website