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Graph-Structured Referring Expressions Reasoning in The Wild, In CVPR 2020, Oral.
Graph-Structured Referring Expressions Reasoning in The Wild, In CVPR 2020, Oral.
This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.
Official pytorch implementation of the AAAI 2021 paper "Semantic Grouping Network for Video Captioning"
The code of “Similarity Reasoning and Filtration for Image-Text Matching” [AAAI2021]
Reproduction of SHARE using Pytorch
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Video Captioning on MSR-VTT and MSVD dataset using Deep Learning
A simpler version of the self-attention layer from SAGAN, and some image classification results.
An original implementation of ACL 2019, "Compositional Questions Do Not Necessitate Multi-hop Reasoning" (Single-hop Reading Comprehension Model based on BERT)
The first public PyTorch implementation of Skip-Thought Vectors
A research framework for Deep Reinforcement Learning using Unity, OpenAI Gym, PyTorch, Tensorflow.
ACM ICMR 2019《Cross-Modal Video Moment Retrieval with Spatial and Language-Temporal Attention》
ReDWeb-S: a large-scale challenging dataset for RGB-D Salient Object Detection.
Tutorials and implementations for "Self-normalizing networks"
Visual Question Answering with attention map explanations using the SOBERT-VQA model
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
TensorFlow-based neural network library
Extension of hLSTMat
CVPR 2020 Submission -- Paper ID: 9832
Learning Graphs from Data via Spectral Constraints for k-component, bipartite, and k-component bipartite graphs
Author implementation of the paper "Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing"
Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
PyTorch implementation of Transformer-based Neural Machine Translation
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.