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gyq716's Projects

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]

relationnetworks-clevr icon relationnetworks-clevr

A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

rstnet icon rstnet

RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR2021)

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

A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 Oral paper "Unbiased Scene Graph Generation from Biased Training"

sg2im icon sg2im

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

sgn icon sgn

Official pytorch implementation of the AAAI 2021 paper "Semantic Grouping Network for Video Captioning"

show-edit-tell icon show-edit-tell

Show, Edit and Tell: A Framework for Editing Image Captions, CVPR 2020

slowfast icon slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

sparser-cnn icon sparser-cnn

End-to-End Object Detection with Learnable Proposal

srvp icon srvp

Official implementation of the paper Stochastic Latent Residual Video Prediction

sub-gc icon sub-gc

Code repository for our paper "Comprehensive Image Captioning via Scene Graph Decomposition" in ECCV 2020.

t-vae icon t-vae

Transformer Variational Autoencoder experiment

timesformer icon timesformer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

timesformer-pytorch icon timesformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

tmux-config icon tmux-config

Tmux configuration, that supercharges your tmux to build cozy and cool terminal environment

tpm icon tpm

Tmux Plugin Manager

transformer-explainability icon transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

videoqadensecapframegate-acl2020 icon videoqadensecapframegate-acl2020

Code for ACL 2020 paper "Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA." Hyounghun Kim, Zineng Tang, Mohit Bansal.

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