jzengust

AdaGLT

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".

ldmm_graph_laplacian_pointcloud_denoise

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

RGBD2Normal

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

jzengust/RGBD2Normal

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

jzengust/ldmm_graph_laplacian_pointcloud_denoise

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

jzengust/feature-graph-learning

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

jzengust/AdaGLT

jzengust/consistent_depth

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

jzengust/DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

jzengust/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

jzengust/DeepCompletionRelease

Deep Depth Completion of a Single RGB-D Image

jzengust/DPT

Dense Prediction Transformers

jzengust/DropEdge

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

jzengust/GCNII

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

jzengust/gnn-asymptotics

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

jzengust/Graph-LLM

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

jzengust/hello_world

ideas

jzengust/Heterophily_and_oversmoothing

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

jzengust/jzeng.github.io

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

jzengust/jzengust.github.io

jzengust/mannequinchallenge

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

jzengust/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"

jzengust/MultiObjectiveOptimization

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

jzengust/NLSPN_ECCV20

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

jzengust/NM-sparsity

jzengust/PENet_ICRA2021

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

jzengust/pygcn

Graph Convolutional Networks in PyTorch

jzengust/pytorch-deepglr

A pytorch implementation of Deep Graph Laplacian Regularization for image denoising

jzengust/raisr

A Python implementation of RAISR

jzengust/SGML

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