videodnn Goto Github PK
Type: Organization
Bio: for deep learning in video/media
Location: Chaoyang District, Peking, P.R.China
videodnn's Projects
3d-densenet
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
3d-resnets-pytorch
3D ResNets for Action Recognition (CVPR 2018)
action-recognition-visual-attention
Action recognition using soft attention based deep recurrent neural networks
actionrecognition
Explore Action Recognition
actions-for-actions
Diagnostic tools and additional visualizations from "What Actions are Needed for Understanding Human Actions in Videos?" ICCV 2017
adversarial_video_generation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
arctic-capgen-vid
automatic video description generation with GPU training
attentionalpoolingaction
Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
awesome-action-recognition
A curated list of action recognition and related area resources
blvnet-tam
The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"
c3d-keras
train C3D with keras for action recognition
c3d-keras-1
C3D for Keras + TensorFlow
c3d-tensorflow
C3D is a modified version of BVLC tensorflow to support 3D ConvNets.
charades-algorithms
Activity Recognition Algorithms for the Charades Dataset
cpnet
Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)
cs221_project
Activity Recognition in Videos using UCF101 dataset
deephar
Deep human action recognition and pose estimation
douyin
API of DouYin for Humans used to Crawl Popular Videos and Musics
ffmpeg-python
Python bindings for FFmpeg - with complex filtering support
five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
google-research
Google AI Research
gpu_flow
GPU based optical flow extraction in OpenCV
hacs-dataset
HACS: Human Action Clips and Segments Dataset
human-action-recognition-with-keras
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
i3d_finetune
TensorFlow code for finetuning I3D model on UCF101.
improved-video-gan
GitHub repository for "Improving Video Generation for Multi-functional Applications"
kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
local-and-global-diffusion-networks
Learning Spatio-Temporal Representation with Local and Global Diffusion
mmgcn
MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video
moments_models
The pretrained models trained on Moments in Time Dataset
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