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378 search results found

Action Recognition Using 3d Resnet ⭐ 26

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

Weakly Action Localization ⭐ 26

Action Recognition ⭐ 25

Three steps to train your own model for action recognition based on CNN and LSTM by PyTorch.

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Action Recognition ⭐ 24

Course Project for CS763 Computer Vision IIT Bombay

Cricshot10 ⭐ 24

CricShot10 is a video action recognition dataset consisting of 10 cricket batting shots. This dataset was developed using the videos from YouTube.

St Gcn Pytorch ⭐ 23

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Quovadis ⭐ 22

Repository for the 'Quo Vadis, Skeleton Action Recognition ?' paper

Action_recognition ⭐ 22

Solving UCF-101 with fastai2

Painface Recognition ⭐ 22

Using deep recurrent networks to recognize horses' pain expressions in video.

Gst Video ⭐ 21

ICCV 19 Grouped Spatial-Temporal Aggretation for Efficient Action Recognition

Dynamic Images For Action Recognition ⭐ 21

A public Python implementation for generating Dynamic Images introduced in 'Dynamic Image Networks for Action Recognition' by Bilen et al.

Visual Relationship Detection Ltn ⭐ 21

This repository contains the dataset and the source code for the detection of visual relationships with the Logic Tensor Networks framework.

Skeleton Based Human Action Recognition ⭐ 21

This is partial implementations of PR 2017 and CVPR 2018

R2plus1d C3d ⭐ 21

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"

Tsn Tensorflow Unofficial ⭐ 21

Temporal Segment Networks (TSN) in Tensorflow

Pose2action ⭐ 21

experiments on classifying actions using poses

My Very Deep Caffe ⭐ 21

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

[IEEE T-IP 2022] TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning

Bagofkeyposes ⭐ 19

Machine learning method based on a bag of key poses model and temporal alignment

Fight_detection ⭐ 19

Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition

[IEEE T-IP 2021] Semantics-aware Adaptive Knowledge Distillation for Cross-modal Action Recognition

Video Data Aug ⭐ 19

Learning Representational Invariances for Data-Efficient Action Recognition

Pd Motor Severity Estimation ⭐ 18

Code for the paper "Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity"

Motif Stgcn ⭐ 18

Aicity_action ⭐ 18

Code and model for the AI City Challenge (CVPR 2022) Track 3 Action Detection (Naturalistic Driving Action Recognition)

Cnn_lstm ⭐ 17

Action recognition by CNN and LSTM

Crisscross ⭐ 17

Official project page of CrissCross - AAAI 2023 (Oral)

Generative Multi View Human Action Recognition ⭐ 17

Generative Multi-View Human Action Recognition

Temporal Augmentation ⭐ 17

Temporal augmentation with two-stream ConvNet features on human action recognition

Twostreamsr ⭐ 17

Two-Stream Action Recognition-Oriented Video Super-Resolution (ICCV2019)

Ai Sports Assistant ⭐ 17

Olympic weightlifting videos analysis, action recognition and assessment.

[ECCV 2022] Official Pytorch Implementation of the paper : " Semi-Supervised Temporal Action Detection with Proposal-Free Masking "

Tennis_action_recognition ⭐ 16

Using deep learning to perform action recognition in the sport of tennis.

Activity_rec_ml Lstm ⭐ 16

Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM

Action Recognition Bagofwords Early Late Fusion ⭐ 16

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 ⭐ 16

these days I have downed l lot of papers about action recognition,all of them from cvpr/iccv/nips and so on

Video Semisup ⭐ 16

Learning from Temporal Gradient for Semi-supervised Action Recognition (CVPR 2022)

Dlc2action ⭐ 16

DLC2Action is an action segmentation package that makes running and tracking of machine learning experiments easy.

Fitness Aqa ⭐ 16

Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]

Cvpr2018_actional_recognition ⭐ 16

Beyond Joints ⭐ 16

Angular Skeleton Encoding ⭐ 15

Sourcecode for the TNNLS 2022 paper: Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition

Slow Fast Pytorch Implementation ⭐ 15

Action recognition using Slow Fast Network by FAIR

Modality Distillation ⭐ 15

Tensorflow code for the paper 'Modality Distillation with Multiple Stream Networks for Action Recognition', ECCV 2018

Pose2vec ⭐ 15

A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.

Skeleton Dml ⭐ 15

Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition

Signal Level Deep Metric Learning for One-Shot Action Recognition

Video Classification 3d Cnn ⭐ 15

Video classification tools using 3D ResNet

Fed Multimodal ⭐ 15

Image Pretraining For Video ⭐ 15

[ECCV 2022] This repository includes the official implementation our paper "In Defense of Image Pre-Training for Spatiotemporal Recognition".

Action Recognition ⭐ 15

recognize actions from videos using machine learning classifier(s) and suitable features. You will use UCF sports action data set here http://crcv.ucf.edu/data/ucf_sports_actions.zip. UCF Sports dataset consists of a set of actions collected from various sports which are typically featured on broadcast television channels such as the BBC and ESPN. The video sequences were obtained from a wide range of stock footage websites including BBC Motion gallery and GettyImages. The dataset includes a tot

Deepball Keras ⭐ 14

Implementation of the DeepBall ball detector in Keras

Surgeon Assist Net ⭐ 14

Towards context-aware head-mounted display-based augmented reality for surgical guidance.

Vlog_action_recognition ⭐ 14

Identifying Visible Actions in Lifestyle Vlogs

Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"

Human Action Recognition And Video Classification Using Svm And Deep Cnn ⭐ 14

Pose Guided Action Recognition ⭐ 14

Use human pose information to help action recognition, explored with attention-pooling method, C3D method and two-stream architecture, implemented in pytorch.

Synse Zsl ⭐ 14

Official PyTorch code for the paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'

Rendezvous ⭐ 14

A transformer-inspired neural network for surgical action triplet recognition from laparoscopic videos.

T3d Keras ⭐ 13

A Temporal 3D DNN for action recognition in videos

Fusion Human Action Recognition ⭐ 13

Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.

[CVPR 2023] STMixer: A One-Stage Sparse Action Detector

Action Recognition ⭐ 13

Action Recognition using SVM, BoW pipeline

Action Localization ⭐ 13

Action-Localization, Atomic Visual Actions (AVA) Dataset

Stmodeling ⭐ 13

Code for the paper "Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos"

Fewshotqat ⭐ 13

[BMVC 2021]: Official PyTorch implementation of : "Few Shot Temporal Action Localization using Query Adaptive Transformers"

matlab code for 3D skeleton action recognition

Stip_fisher ⭐ 12

Action recognition with STIP features and my own Fisher vector implementation

Distance Matrix Neural Networks for human action recognition

The official PyTorch implementation of "Context Matters: Self-Attention for sign Language Recognition"

Similarity Guided Sampling ⭐ 12

3D CNNs with Adaptive Temporal Feature Resolutions (CVPR2021) https://arxiv.org/abs/2011.08652

Official implementation of the paper: Learning Interactions and Relationships between Movie Characters (CVPR'20)

Robust Deep Learning Pipeline ⭐ 12

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

Temporal Segment Network Pytorch ⭐ 12

tsn model for action recognition on pytorch

Code for NeurIPS 2022 paper "Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space"

The implementation of E3DNet

3d Dense Residual Network For Action Recognition ⭐ 12

3D Dense Residual Network for Action Recognition

Online Action Recognition ⭐ 11

Implementation of CNN-Based Model for Online Action Recognition

Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

Tensorflow C3d ⭐ 11

An implementation of C3D approach for Action Recognition in TensorFlow.

Pose_recognition_tello ⭐ 11

Control a dji tello drone with body postures processed by tf-openpose using a camera and aws ec2 g2.2xlarge gpu server.

Htk_actionrecognition ⭐ 11

Matlab demo for action recognition with HTK

Towards Visually Explaining Video Understanding Networks With Perturbation ⭐ 11

Attribution (or visual explanation) methods for understanding video classification networks. Demo codes for WACV2021 paper: Towards Visually Explaining Video Understanding Networks with Perturbation.

Mv Ignet ⭐ 11

The Official PyTorch implementation of "Learning Multi-View Interactional Skeleton Graph for Action Recognition" in TPAMI 2020

Perturbed Topological Signature ⭐ 11

Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.

Rocog V2 ⭐ 11

RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.

Multitrain ⭐ 11

Code and model for "Multi-dataset Training of Transformers for Robust Action Recognition", NeurIPS 2022 Spotlight

3d Potion ⭐ 11

We reproduce 2D PoTion and extend this to 3D PoTion for action recognition task.

Region Based Non Local Network ⭐ 11

[Codes of paper]: Region-based Non-local operation for Video Classification

Official code repo for TCLR: Temporal Contrastive Learning for Video Representation [CVIU-2022]

Action recognition for surveillance scenarios with local binary feature descriptors

Pedestrian_graph_plus ⭐ 10

the Pedestrian_graph_plus implementation

Awesome Group Activity Recognition ⭐ 10

A curated list of Group Activity (a.k.a., Collective Activity) recognition papers, codes, datasets and other resources.

Hcn Prototypeloss Pytorch ⭐ 10

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

Videoclassification ⭐ 10

Crime detection in cctv footage using deep learning

Video Action Recognition ⭐ 10

Action Recognition in Videos using Stacked Optical Flow and HOGHOF features.

AI State Analysis of Pets - 반려동물 행동 분석 서비스

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