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Hi,

I am a Computer Vision and Deep Learning Researcher. My interest lies in Multimodal Learning, 3D Human Motion Modeling, and Generation. I have recently spent three months at Visual Computing & Artificial Intelligence group at Technical University of Munich with Prof. Matthias Nießner.
I have completed MS by Research at CVIT, IIIT Hyderabad under the guidance of Prof. C.V. Jawahar and Prof. Vinay P. Namboodiri. My graduate research focused on Lip-Sync, Talking Head Generation, and Face Reenactment, along with their optimization for real-world problems. I also have worked on the task of Table Detection in Document Images with high accuracy under the guidance of Prof. C.V. Jawahar and Dr. Ajoy Mondal. Prior to this, I was working as a Data Scientist with a couple of companies, broadly in the domain of Facial Recognition, Video surveillance using AI, and Document Image Processing. I have also been actively involved with start-ups as an advisor and consultant.

Google Scholar | LinkedIn | CV

GitHub Stats

mdv3101

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Madhav Agarwal's Projects

avfr-gan icon avfr-gan

Audio-Visual Generative Adversarial Network for Face Reenactment

cbnet icon cbnet

Python3 Support for Composite Backbone Network in Detectron

cbnet-1 icon cbnet-1

CBNet implementation based on mmdetection with support for Training with Negative Dataset

cdecnet icon cdecnet

CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images

digital_handwriting icon digital_handwriting

Developing a system that will transform one handwriting to another pre-trained handwriting with the help of Long Short Term Memory (LSTM) Networks Technology Used : Deep Learning & Neural Networks, TensorFlow, Python

first-order-model icon first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

railway_feedback icon railway_feedback

Railway Feedback System for generating an alert in case of Emergency using Twittes made by the passengers.

wav2lip icon wav2lip

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.

wikipedia_search_engine icon wikipedia_search_engine

A TF-IDF (Term Frequency & Inverse Document Frequency) based search algorithm for searching a small subset of Wikipedia Data using Apache Spark Cluster of 3 Nodes on top of HDFS, hosted on AWS, having web UI with Django.

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