Ananth Kalyanasundaram

I am a Masters in Computer Science student at the Technical University of Munich, currently doing my thesis under Prof. Dr. Matthias Niessner. I graduated with a Bachelors in Technology (Computer Science and Engineering) degree from SRM Institute of Science and Technology, Kattankulathur, Chennai. I have also worked as a Research Intern at Michigan State University under Professor Vishnu Boddeti.

Previously, I was a Research Intern at Healthcare Technology Innovation Centre(HTIC), IIT Madras, where I was part of the Image Computing group, pursuing research in Deep Learning and Computer Vision for Medical Imaging. I have also worked as a Research intern at the Department of Translational Medicine and Research at my university, working on Image Super-Resolution and Segmentation problems.

I play the piano and have received Grade 4 certification from Trinity College London. I am really passionate about football and am a big fan of Chelsea Football Club. I also like playing MOBA and RPGs.

Email / CV / Google Scholar / Github / LinkedIn

Research

Broadly, I work in the field of Computer Vision and Deep Learning. My interests lie in 3D Reconstruction and Neural Rendering.

	Shape, Light and Neural Material Decomposition using Monte-Carlo Rendering and Diffusion Denoising Ananth Kalyanasundaram, Simeng Li, Soumya Mondal, Surya Prabhakaran, Jonathan Schmidt Project This project was done as part of the 3D Scanning and Spatial Learning course held by TUM Visual Computing group. Report /
	Text-DiffScene: Text-driven 3D Scene Synthesis with Permutation Equivariant Graph Diffusion Ananth Kalyanasundaram Project This project was majorly done as a part of the Guided Research course held by TUM Visual Computing group. Report /
	3D Semantic Reconstruction from a single RGB Image Ananth Kalyanasundaram, Mreenav Shyam Deka Project This project was done as a part of the Advanced Deep Learning for Computer Vision : Visual Computing course held by Prof. Dr. Matthias Niessner. Paper / Code
	MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss Sriprabha Ramanarayanan, Balamurali Murugesan, Ananth Kalyanasundaram, Surya Prabhakaran, Keerthi Ram, Shantanu Patil, Mohanasankar Sivaprakasam 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society(EMBC) Paper / Code (Available soon)
	Detection of Pathological Myopia by Convolutional Neural Network Ananth Kalyanasundaram, Surya Prabhakaran, J.Briskilal, D.Senthil Kumar ICCET 2020 International Journal of Psychosocial Rehabilitation, Vol. 24, Issue 05, 2020 Paper / Code
	Histopathic Segmentation of Nuclei using Deep Learning Project This was a challenge held as part of the MICCAI 2018 conference. The task was to segment nuclei in a given image of a tissue. Code
	Cancer Cellularity Prediction using Deep Learning Project This project was done towards the BreastPathQ challenge held as part of the SPIE Medical Imaging 2019 conference. The task was to predict cancer cellularity from a given image of a tissue containing cancer cells. This project helps diagnoise how well a cancer patient's body has responded to chemotherapy. This project helps predict cancer cellularity within a minute whereas conventional methods take hours. Code

Thanks for the template, Jon Barron!