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video-nonlocal-net

Non-local Neural Networks for Video Classification

video-paragraph-captioning---keras

Generating paragraph captions for videos

video-qa-faaan

video-question-answering

Video Question Answering via Gradually Refined Attention over Appearance and Motion

video-summarization-with-long-short-term-memory

video-temporal-localization

pytorch implementation.

video_captioning.pytorch

Video Captioning

video_captioning_rl

Code and Models for paper "Reinforced Video Captioning with Entailment Rewards (EMNLP 2017)"

video_feature_extractor

Easy to use video deep features extractor

video_ground

A Video Ground Model

video_reloc

Code for "Video Re-localization" in ECCV 2018

video_seqs_generation

video prediction via cycle constraints

video_temporal_grounding

video temporal grounding

video_to_sequence

Implementation of "Sequence to Sequence – Video to Text"

videocap

Memory-augmented Attention Modelling for Videos

videocaption

Video captioning using LSTM and CNN. This is the Visual Learning project done by Rui Zhang, Yujia Huang and Yu Zhang

videocaption-1

视频的文本摘要(标注)，输入一段视频，通过深度学习网络和人工智能程序识别视频主要表达的意思(Input a video output a txt decribing the video)。

videocaptioning

Video Captioning with Pytorch

videocaptioning-1

video captioning using 3DCNN and LSTM (pytorch)

videogan

PyTorch implementation of VideoGAN for Generating Videos with Scene Dynamics

videograph

Implementation of paper "VideoGraph: Recognizing Minutes-Long Human Activities in Videos"

videomultigan

End to End learning for Video Generation from Text

videoqa-stan

Video Question Answering via Hierarchical Spatio-Temporal Attention Networks

videoqa_dataset_visualization

Load and visualize different datasets in video question answering

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.

videotransformer

vidstg-dataset

This repository provides the dataset introduced by the paper "Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences"

viscoll

Code and data for the project "Visually grounded continual learning of compositional semantics"

visdial-diversity

Pytorch implementation of https://arxiv.org/pdf/1909.10470.pdf

visdial-gnn

PyTorch code for Reasoning Visual Dialogs with Structural and Partial Observations