Video Platform for Action Recognition and Object Detection in Pytorch

Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.

[AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity

由视频数据集生成optical flow，frames，warped flow

Actor-agnostic Multi-label Action Recognition with Multi-modal Query [ICCVW '23]

Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.

Temporal 3D ConvNet

PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition

Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)

[AAAI 2024] XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning.

Action Recognition using a two stream CNN architecture with Frames and Optical Flows. Realized using Keras on HMDB51 dataset.

Human Activity Recognition (HAR) using LRCN approach and MoveNet approach on HMDB-51 dataset

This is the project repository for the research study "Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recognition" presented by Motasem S. Alsawadi and Miguel Rio.

A project on video classification using PyTorch 2.0.

Action Recognition Using CNN + Bidirectional RNN