jzengust Goto Github PK

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep_gcn_benchmarking

[Preprint] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

deepcompletionrelease

Deep Depth Completion of a Single RGB-D Image

dpt

Dense Prediction Transformers

dropedge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

feature-graph-learning

An official MATLAB implementation of the paper "Feature Graph Learning for 3D Point Cloud Denoising".

gcnii

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

gnn-asymptotics

Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.

graph-llm

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

hello_world

ideas

heterophily_and_oversmoothing

Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"

jzeng.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

jzengust.github.io

ldmm_graph_laplacian_pointcloud_denoise

3D point cloud denoising using graph Laplacian regularization of a low dimensional manifold model

mannequinchallenge

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

nlspn_eccv20

Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020

nm-sparsity

penet_icra2021

ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

pygcn

Graph Convolutional Networks in PyTorch

pytorch-deepglr

A pytorch implementation of Deep Graph Laplacian Regularization for image denoising

raisr

A Python implementation of RAISR

rgbd2normal

Code for Deep Surface Normal Estimation with Hierarchical RGB-D Fusion (CVPR2019)

sgml

source code for running experiments in paper https://arxiv.org/pdf/2006.08816v4.pdf