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mdv3101/README.md

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.

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GitHub Stats

mdv3101

Madhav's GitHub stats Top Langs

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  1. CDeCNet CDeCNet Public

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

    Python 131 33

  2. AVFR-Gan AVFR-Gan Public

    Audio-Visual Generative Adversarial Network for Face Reenactment

    157 7

  3. DeepSort_Yolo DeepSort_Yolo Public

    Real Time Person Tracking using DeepSort and Yolo_v4

    Jupyter Notebook 12 9

  4. Rethinking_Generalization Rethinking_Generalization Public

    SMAI Project: Understanding Deep Learning Requires Rethinking Generalization

    Jupyter Notebook 6 1

  5. Digital_Handwriting Digital_Handwriting Public

    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,…

    Python 1

  6. Beer-Label-Classification-using-SIFT Beer-Label-Classification-using-SIFT Public

    This project is part of the course CSE478: Digital Image Processing, Monsoon 2020, IIIT-Hyderabad. It classify beer labels using SIFT algorithm.

    Jupyter Notebook 2