Mchapariniya

ARU-Net

Awesome-Video-Datasets

Video datasets

awesome_video_person_reid

papers collection and understanding for video person re-identification

basic_vqa

Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)

bmmal

[ACMMM 2023] BMMAL: Towards Balanced Active Learning for Multimodal Classification

Classification-of-body-keypoint-trajectories-of-gesture-co-occurring-with-time-expressions

Code for the ongoing GSoC project "Classification of body keypoint trajectories of gesture co-occurring with time expressions".

Click-Pose

[ICCV 2023] Official implementation of the paper "Neural Interactive Keypoint Detection"

CRNN-Keras

CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition

CS-Tutorial

Source Code for CS Courses Offered by Ali Hejazizo

DMF

Mchapariniya/Awesome-Video-Datasets

Video datasets

Mchapariniya/awesome_video_person_reid

papers collection and understanding for video person re-identification

Mchapariniya/bmmal

[ACMMM 2023] BMMAL: Towards Balanced Active Learning for Multimodal Classification

Mchapariniya/Classification-of-body-keypoint-trajectories-of-gesture-co-occurring-with-time-expressions

Code for the ongoing GSoC project "Classification of body keypoint trajectories of gesture co-occurring with time expressions".

Mchapariniya/Click-Pose

[ICCV 2023] Official implementation of the paper "Neural Interactive Keypoint Detection"

Mchapariniya/DMF

Mchapariniya/examples

Example code and applications for machine learning on Graphcore IPUs

Mchapariniya/dynamic-hand-gesture-classification

Repository containing code and models for the paper "3D dynamic interaction in virtual reality environments by hand gesture recognition"

Mchapariniya/Emotional-gesture-papers

Mchapariniya/iMiGUE

An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis (CVPR'21)

Mchapariniya/KeypointMessagePassing

Mchapariniya/Leveraging-Self-Supervised-Learning-for-AVSR

Official PyTorch implementation of paper Leveraging Unimodal Self Supervised Learning for Multimodal Audio-Visual Speech Recognition (ACL 2022)

Mchapariniya/LicensePlateDetector

Detects license plate of car and recognizes its characters

Mchapariniya/MetaTransformer

Meta-Transformer for Unified Multimodal Learning

Mchapariniya/MiGA2023_Track1

[IJCAI 2023]The Champion of Micro-gesture Classification sub-challenge in MiGA@IJCAI2023.

Mchapariniya/MM-DFN

Source code for ICASSP 2022 paper "MM-DFN: Multimodal Dynamic Fusion Network For Emotion Recognition in Conversations"

Mchapariniya/news-recommendation

Implementations of some methods in news recommendation.

Mchapariniya/PersonRecognition_using_Facial_MicroExpressions

The code for "Person Recognition using Facial Micro-Expressions with Deep Learning". The paper: https://arxiv.org/abs/2306.13907

Mchapariniya/pose

Library for viewing, augmenting, and handling .pose files

Mchapariniya/pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Mchapariniya/PyTorch-Lightning-CIFAR10

"Not too complicated" training code for CIFAR-10 by PyTorch Lightning

Mchapariniya/pytorchTutorial

PyTorch Tutorials from my YouTube channel

Mchapariniya/Reinforcement-Learning

this repo contains implementation of different RL Algorithms

Mchapariniya/SER-datasets

A collection of datasets for the purpose of emotion recognition/detection in speech.

Mchapariniya/SMG

SMG source code and dataset

Mchapariniya/tfjs-models

Pretrained models for TensorFlow.js

Mchapariniya/uavm

Code for the IEEE Signal Processing Letters 2022 paper "UAVM: Towards Unifying Audio and Visual Models".

Mchapariniya/unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Mchapariniya/vit-pytorch-lucid

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Mchapariniya/WACV-2024-Papers

WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!