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Saulo Catharino

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Saulo Catharino's Projects

fewshotqat icon fewshotqat

BMVC 2021: This is the github repository for "Few Shot Temporal Action Localization using Query Adaptive Transformers" accepted in British Machine Vision Conference (BMVC) 2021, Virtual

first-order-model icon first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

fixmatch icon fixmatch

A simple method to perform semi-supervised learning with limited data.

fixmatch-pytorch icon fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

flame icon flame

Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation

ganimation icon ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

gaussian-splatting icon gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

gcc-sfcn icon gcc-sfcn

This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].

gigagan-pytorch icon gigagan-pytorch

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

gradslam icon gradslam

gradslam is an open source differentiable dense SLAM library for PyTorch

grafico_de_pizza icon grafico_de_pizza

Neste exemplo aprendemos a calcular porcentagem e a plotar em gráfico de pizza

groundingdino icon groundingdino

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

gspnp icon gspnp

Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"

gsrtr icon gsrtr

[BMVC'21] Official PyTorch Implementation of Grounded Situation Recognition with Transformers

guidance icon guidance

A guidance language for controlling large language models.

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