Giter VIP home page Giter VIP logo

zhuxuhan's Projects

relationnet2 icon relationnet2

RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder

rtpb icon rtpb

Code for our paper `Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation`

scan icon scan

PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

scene-graph-benchmark.pytorch icon scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

segmentation-sg icon segmentation-sg

Code Release for the paper Segmentation Grounded Scene Graph Generation

smpl icon smpl

NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.

spin icon spin

Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"

tex2shape icon tex2shape

This repository contains code corresponding to the paper "Tex2Shape: Detailed Full Human Body Geometry from a Single Image"

textblob icon textblob

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

transformer-mm-explainability icon transformer-mm-explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

transformer_model icon transformer_model

A pytorch implementation of Attention Is All You Need (Transformer) for image captioning.

unicon-noisy-label icon unicon-noisy-label

Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

uniter icon uniter

Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

upt icon upt

Official PyTorch implementation for paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vqa2.0-recent-approachs-2018.pytorch icon vqa2.0-recent-approachs-2018.pytorch

A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0

vsgnet icon vsgnet

VSGNet:Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.

yolov3 icon yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.