Pinned Repositories
30-Days-of-Python
For the next 30 days, learn the Python Programming language.
3d-pose-baseline
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
Action-recognition-BagOfWords-Early-Late-Fusion
Video classification using the UCF101 dataset for action recognition. We extract SIFT, MFCC and STIP features from the videos, we encode them using the Bag of Words framework and we implement early and late feature fusion using different combinations of the feature types available.
Action_Recognition_using_LSTM_and_Attention
ActionCLIP
This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"
actionRecognitionWithKeypoints
Action recognition for UCF-101 by extracting keypoints
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
ANN-SNN-Object-Recognition
Event-based object recognition using analog and spiking neural networks
awesome-human-pose-estimation
A collection of awesome resources in Human Pose estimation.
MultiModal-Emotion-Recogition
Record for Code and Paper Searching
mdongbenben's Repositories
mdongbenben/3d-pose-baseline
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
mdongbenben/Action_Recognition_using_LSTM_and_Attention
mdongbenben/awesome-frame-interpolation
Progress on Frame interpolation and extrapolation
mdongbenben/cnn_faceDetection
cpp code: using cnn for face detection
mdongbenben/computer_vision
C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition
mdongbenben/deception-detection-1
A system to differentiate fake and genuine reviews on the basis of sentimental and syntactic features using different machine learning and neural network based approaches
mdongbenben/deep-residual-networks
Deep Residual Learning for Image Recognition
mdongbenben/depression-detect
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
mdongbenben/digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
mdongbenben/dlwed17
Unsupervised Deep Autoencoders for Feature Extraction with Educational Data
mdongbenben/dynamic-image-nets
Dynamic Image Networks for Action Recognition
mdongbenben/Experiment_01-ActionRecognition_LSTMBased
Experiments Records...
mdongbenben/FATAUVA-Net-for-facial-emotion-with-caffe
This is an implementation of FATAUVA-Net model in paper: An Integrated Deep Learning Framework for Facial Attribute Recognition, Action Unit Detection and Valence-Arousal Estimation
mdongbenben/Generative-Model-for-Video-Compression
This repository contains codes for trying out video compression with generative model.
mdongbenben/Image-compression-and-video-coding
mdongbenben/KTH-Action-Recognition
Action Recognition on the KTH Dataset
mdongbenben/Multimodal-User-Recognition
User Recognition by Three Modalities: Face, Body Size and Limb Ratio, Dress Color Information
mdongbenben/mxnet_mtcnn_face_detection
MTCNN face detection
mdongbenben/openpose-keras
A little bit of play with OpenPose without using their API
mdongbenben/paper-2017-DCASE
The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data
mdongbenben/pose-based-action-recognition
We want to derive a effective way to utilize pose information in action recognition
mdongbenben/Sentiment_analysis
使用深度学习方法对IMDB电影评价做情感分析，使用的方法分别为：MLP、BiRNN、BiGRU+Attention Model
mdongbenben/Two-Stream-Convolutional-Networks
for action recognition in videos
mdongbenben/video-action-recognition
Action Recognition in Videos using Stacked Optical Flow and HOGHOF features.
mdongbenben/Video-Classification-Action-Recognition
some famous works and new content to be added
mdongbenben/video-compression-dnn
Video compression using deep convolutional neural networks and autoencoders
mdongbenben/video-enhancement
A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..