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followers: 13.0 following: 3.0 repos: 87.0 gists: 2.0

Name: R. Gnana Praveen

Type: User

Bio: Researcher in computer vision and affective computing. Actively Looking for research opportunities in computer vision machine learning.

Twitter: praveena2j

Location: Montreal

Blog: https://praveena2j.github.io/

Hi there 👋

I am a post-doctoral researcher at the Computer Research Institute of Montreal (CRIM). I did PhD in artificial intelligence (focused on computer vision and affective computing) at LIVIA lab, ETS Montreal, Canada under the supervision of Prof. Eric Granger and Prof. Patrick Cardinal in 2023. In my thesis, I have worked on developing weakly supervised learning (multiple instance learning) models for facial expression recognition in videos and novel attention models for audio-visual fusion in dimensional emotion recognition.

Before my PhD, I had 5 years of industrial research experience in computer vision, working for giant companies as well as start-ups including Samsung Research India, Synechron India and upGradCampus India. I also had the privilege of working with Prof. R. Venkatesh Babu at Indian Institute of Science, Bangalore on crowd flow analysis in videos. I did my Masters at Indian Institute of Technology Guwahati.

I'm interested in computer vision, affective computing, deep learning, and multimodal video understanding models. Most of my research revolves around video analytics, weakly supervised learning, facial behavior analysis, and audio-visual fusion.

Connect with me

R. Gnana Praveen's Projects

abaw2

abaw2020tnt

Submission to the Affective Behavior Analysis in-the-wild (ABAW) 2020 competition.

action-recognition-pytorch

This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.

automatic-tagging-of-documents

automatic-validation-of-cheques

avcleanse

ICASSP 2023: 'Speaker recognition with two-step multi-modal deep cleansing'

awesome-affective-computing

A curated list of awesome affective computing 🤖❤️ papers, software, open-source projects, and resources

awesome-audio-visual

A curated list of different papers and datasets in various areas of audio-visual processing

awesome-audiovisual-learning

A curated list of audio-visual learning methods and datasets.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-fer

A reading list of top Conferences & Journals, focused on facial expression recognition (FER)

awesome-github-profile-readme-templates

This repository contains best profile readme's for your reference.

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

awesome-masked-autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-multimodality

A Survey on multimodal learning research.

awesome-sota-fer

A curated list of facial expression recognition in both 7-emotion classification and affect estimation.

awesome-video-domain-adaptation

A comprehensive collection of awesome research and other items about video domain adaptation

awesome-weakly-supervised-facial-behavior-analysis

A curated list of weakly supervised learning methods and datasets for facial behavior analysis.

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

bag-of-visual-words-python

Implementing Bag of Visual words approach for object classification and detection

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

bgcs

Bayesian Group-sparse Compressed Sensing Toolbox (FG 2015)

blind-navigation-assistance-system

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

cross-attentional-av-fusion

FG2021: Cross Attentional AV Fusion for Dimensional Emotion Recognition

crowd-flow-segmentation-based-on-em

da

Unsupervised Domain Adaptation Papers and Code

dcaforpersonverification

deep-semi-nmf

Theano-based implementation of Deep Semi-NMF.

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