vandana-rajan

1D-Speech-Emotion-Recognition

Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM

ABAW2020TNT

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

adversarial-autoencoders

Tensorflow implementation of Adversarial Autoencoders

adverserial-autoencoder-keras

Keras Implementation of adverserial autoencoder (AAE)

Aff-Wild-models

ARGF_multimodal_fusion

codes for: Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

CLR

Human-Detection-using-HoG-and-SVM-3D-shape-extraction-using-fringe-projection

Human Detection in images using HoG + SVM and 3D shape extraction using fringe projection

Multimodal-Transformers

List of papers and resources for multimodal transformers

vandana-rajan/1D-Speech-Emotion-Recognition

Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM

vandana-rajan/Multimodal-Transformers

List of papers and resources for multimodal transformers

vandana-rajan/ABAW2020TNT

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

vandana-rajan/ARGF_multimodal_fusion

codes for: Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

vandana-rajan/Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

vandana-rajan/Compact_SER

vandana-rajan/ConflictNET

Implementation of ConflictNET: End-to-End Learning for Speech-Based Conflict Intensity Estimation - IEEE Signal Processing Letters

vandana-rajan/DeepCCA

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

vandana-rajan/DL-learning-sources

Blog posts and tutorials for learning the nuances of DL

vandana-rajan/dlupi-heteroscedastic-dropout

Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)

vandana-rajan/Emotion-FAN

ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos

vandana-rajan/FaceDetection-DSFD

vandana-rajan/GNNPapers

Must-read papers on graph neural networks (GNN)

vandana-rajan/GRAPE

vandana-rajan/graph_emotion_recognition

vandana-rajan/HetEmotionNet

vandana-rajan/mfas

Implementation of CVPR 2019 paper "Mfas: Multimodal fusion architecture search"

vandana-rajan/MFN

Code for Memory Fusion Network, AAAI 2018

vandana-rajan/ML_Interview_Prep_Resources

Resources to prepare for an ML interview

vandana-rajan/MMGCN

vandana-rajan/mmgnn_textvqa

A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

vandana-rajan/mmvae

Multimodal Mixture-of-Experts VAE

vandana-rajan/MTAG

Code for NAACL 2021 paper: MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences

vandana-rajan/MultiModalLearning_InterestingPapers

Latest interesting papers in Multimodal Learning

vandana-rajan/pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

vandana-rajan/pytorch_objectdetecttrack

Object detection in images, and tracking across video frames

vandana-rajan/Self_Cross_Attn

vandana-rajan/senet.pytorch

PyTorch implementation of SENet

vandana-rajan/SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

vandana-rajan/tgn

TGN: Temporal Graph Networks