Code for database and frontend of webpage for Neural Fields in Visual Computing and Beyond.

Overview

Neural Fields in Visual Computing—Complementary Webpage

This is based on the amazing MiniConf project from Hendrik Strobelt and Sasha Rush—thank you!

Citation

If you find our project helpful, please cite our review paper:

@article{xie2021neuralfield,
    title = {Neural Fields in Visual Computing and Beyond},
    author = {Yiheng Xie and Towaki Takikawa and Shunsuke Saito and Or Litany and Shiqin Yan and Numair Khan
    and Federico Tombari and James Tompkin and Vincent Sitzmann and Srinath Sridhar},
    booktitle = {ArXiv Pre-print},
    year = {2021} 
}

Adding a paper—How To

See our website instructions

Website Team—Get Started on Development

> pip install -r requirements.txt
> make run

When you are ready to deploy run make freeze to get a static version of the site in the build folder.

Deploying to Github

  • Define two command-line variables GH_TOKEN and GH_REF. GH_TOKEN is your Github personal access token, and will look like username:token. GH_REF is the location of this repo, e.g., $> export GH_REF=github.com/brownvc/neural-fields-review.
  • DO NOT add GH_TOKEN to the Makefile—this is your personal access token and should be kept private. Hence, declare a temporary command line variable using export.
  • Commit any changes. Any uncommited changes will be OVERWRITTEN!
  • Execute make deploy.
  • That's it. The page is now live here.

Tour

The repo contains:

  1. Datastore sitedata/

Collection of CSV files representing the papers, speakers, workshops, and other important information for the conference.

  1. Routing main.py

One file flask-server handles simple data preprocessing and site navigation.

  1. Templates templates/

Contains all the pages for the site. See base.html for the master page and components.html for core components.

  1. Frontend static/

Contains frontend components like the default css, images, and javascript libs.

  1. Scripts scripts/

Contains additional preprocessing to add visualizations, recommendations, schedules to the conference.

  1. For importing calendars as schedule see scripts/README_Schedule.md

Extensions

MiniConf is designed to be a completely static solution. However it is designed to integrate well with dynamic third-party solutions. We directly support the following providers:

  • Rocket.Chat: The chat/ directory contains descriptions for setting up a hosted Rocket.Chat instance and for embedding chat rooms on individual paper pages. You can either buy a hosted setting from Rocket.chat or we include instructions for running your own scalable instance through sloppy.io.

  • Auth0 : The code can integrate through Auth0.com to provide both page login (through javascript gating) and OAuth SSO with Rocket Chat. The documentation on Auth0 is very easy to follow, you simply need to create an Application for both the MiniConf site and the Rocket.Chat server. You then enter in the Client keys to the appropriate configs.

  • SlidesLive: It is easy to embedded any video provider -> YouTube, Vimeo, etc. However we have had great experience with SlidesLive and recommend them as a host. We include a slideslive example on the main page.

  • PDF.js: For conferences that use posters it is easy to include an embedded pdf on poster pages. An example is given.

Owner
Brown University Visual Computing Group
Brown University Visual Computing Group
Low-dose Digital Mammography with Deep Learning

Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography ====== This repository contains

WANG-AXIS 6 Dec 13, 2022
EssentialMC2 Video Understanding

EssentialMC2 Introduction EssentialMC2 is a complete system to solve video understanding tasks including MHRL(representation learning), MECR2( relatio

Alibaba 106 Dec 11, 2022
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs This is the code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowl

MIRA Lab 33 Dec 07, 2022
Generate vibrant and detailed images using only text.

CLIP Guided Diffusion From RiversHaveWings. Generate vibrant and detailed images using only text. See captions and more generations in the Gallery See

Clay M. 401 Dec 28, 2022
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021) PyTorch implementation of SnapMix | paper Method Overview Cite

DavidHuang 126 Dec 30, 2022
Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxiang Wang, Han Zhao, Bo Li.

Bridging Multi-Task Learning and Meta-Learning Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Trainin

AI Secure 57 Dec 15, 2022
Official implementation of NeurIPS 2021 paper "Contextual Similarity Aggregation with Self-attention for Visual Re-ranking"

CSA: Contextual Similarity Aggregation with Self-attention for Visual Re-ranking PyTorch training code for CSA (Contextual Similarity Aggregation). We

Hui Wu 19 Oct 21, 2022
This game was designed to encourage young people not to gamble on lotteries, as the probablity of correctly guessing the number is infinitesimal!

Lottery Simulator 2022 for Web Launch Application Developed by John Seong in Ontario. This game was designed to encourage young people not to gamble o

John Seong 2 Sep 02, 2022
Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis (CVPR2022)

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis Multi-View Consistent Generative Adversarial Networks for 3D-aware

Xuanmeng Zhang 78 Dec 10, 2022
Steer OpenAI's Jukebox with Music Taggers

TagBox Steer OpenAI's Jukebox with Music Taggers! The closest thing we have to VQGAN+CLIP for music! Unsupervised Source Separation By Steering Pretra

Ethan Manilow 34 Nov 02, 2022
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

TIA Toolbox Computational Pathology Toolbox developed at the TIA Centre Getting Started All Users This package is for those interested in digital path

Tissue Image Analytics (TIA) Centre 156 Jan 08, 2023
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

DALL-E in Pytorch Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch. It will also contain CLIP for ranking the ge

Phil Wang 5k Jan 04, 2023
Object DGCNN and DETR3D, Our implementations are built on top of MMdetection3D.

Object DGCNN & DETR3D This repo contains the implementations of Object DGCNN (https://arxiv.org/abs/2110.06923) and DETR3D (https://arxiv.org/abs/2110

Wang, Yue 539 Jan 07, 2023
Dashboard for the COVID19 spread

COVID-19 Data Explorer App A streamlit Dashboard for the COVID-19 spread. The app is live at: [https://covid19.cwerner.ai]. New data is queried from G

Christian Werner 22 Sep 29, 2022
Official repository for Hierarchical Opacity Propagation for Image Matting

HOP-Matting Official repository for Hierarchical Opacity Propagation for Image Matting 🚧 🚧 🚧 Under Construction 🚧 🚧 🚧 🚧 🚧 🚧   Coming Soon   

Li Yaoyi 54 Dec 30, 2021
Vanilla and Prototypical Networks with Random Weights for image classification on Omniglot and mini-ImageNet. Made with Python3.

vanilla-rw-protonets-project Vanilla Prototypical Networks and PNs with Random Weights for image classification on Omniglot and mini-ImageNet. Made wi

Giovani Candido 8 Aug 31, 2022
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

============================================================================================================ `MILA will stop developing Theano https:

9.6k Jan 06, 2023
Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness (NeurIPS2021) This repository contains code for the paper "Smo

Jongheon Jeong 17 Dec 27, 2022
Video Background Music Generation with Controllable Music Transformer (ACM MM 2021 Oral)

CMT Code for paper Video Background Music Generation with Controllable Music Transformer (ACM MM 2021 Best Paper Award) [Paper] [Site] Directory Struc

Zhaokai Wang 198 Dec 27, 2022
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN)

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN) This is the implementation of the paper Multi-Age

Future Power Networks 83 Jan 06, 2023