gibranbenitez Goto Github PK
Name: Gibran Benitez-Garcia
Type: User
Company: The University of Electro-Communications
Location: Tokyo, Japan
Name: Gibran Benitez-Garcia
Type: User
Company: The University of Electro-Communications
Location: Tokyo, Japan
Deep Learning Illustrated (2020)
FASSD-Net: Fast and Accurate Semantic Segmentation with Dilated Asymmetric Convolutions
Flops counter for convolutional networks in pytorch framework
## Test to show git functions
State-of-the-art 2D and 3D Face Analysis Project
Code and models of our arXiv paper "IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition"
The field of Neural Style Transfer (NST) has led to interesting applications that enable to transform the reality as human beings perceive. Particularly, NST for material translation aims to change the material of an object (content) to the target material from a different image (style). Since the style comes from an object of the target material, the synthesized image quality totally depends on the chosen image. Therefore, we propose a material translation method based on NST with an automatic style image retrieval. The proposed CNN-feature-based image retrieval aims to find the ideal style that better translates the material of an object. An ideal style image must share semantic information with the content object, while containing distinctive characteristics of the desired material. Thus, we refine the search by selecting the most discriminative images from the target material, while focusing on the object semantics by removing its style information. To translate materials to object regions, we combine a real-time material segmentation method with NST. In this way, the material of the retrieved style image is transferred to the segmented areas only. We evaluate our proposal with different state-of-the-art NST methods, including conventional and recently proposed approaches. Furthermore, with a human perceptual study applied to 100 participants, we demonstrate that synthesized images of stone, wood, and metal can be perceived as real, even over legit photographs from such materials.
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
DeepLab v3+ model in PyTorch. Support different backbones.
PyTorch implementation of ENet
35% faster than ResNet: Harmonic DenseNet, A low memory traffic network
Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture and Jester
Real-time hand segmentation
Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
TFM a Dataset for Detection and Recognition of Masked Faces in the Wild
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.