Tathagata Bandyopadhyay

I am currently working on multi-view 3D reconstruction with sparse feed-forward Gaussian Splatting as part of my research internship in Autonomus Learning Group led by Prof. Dr. Georg Martius, at Tübingen AI Center, University of Tübingen, Germany.

I have completed MSc. in Informatics with distinction from Technical University of Munich (TUM), Germany with a focus on Deep Learning in Visual Computing. I am currently looking for a PhD opportunity mostly in the (inverse) research problems of feed-forward 3D reconstruction and hybrid 3D representations. However, as neural networks are universal function approximators, I am open to explore and work on other research domains as well involving deep neural networks.

At TUM I was advised by Prof. Dr. Matthias Niessner from Visual Computing and AI Lab for my master's thesis on 3D Neural Parametric Head Models using implicit 3D representation. Other than thesis, I have also worked on several other deep learning research problems including semi-supervised learning, knowledge distillation, target speaker extraction, music retrieval or cover song identification, neural object relighting, and so on using Python and PyTorch.

Research interests:
3D reconstruction, hybrid 3D representations, Sparse Gaussian Splatting, Autoencoders, Diffusion models, GANs, Large Language Models, Transformers, Topological Deep Learning, Brain computer interface.

Email  /  CV  /  MSc. Thesis  /  Google Scholar  /  Linkedin  /  Github

Technical University of Munich, Germany

Kalinga Institute of Industrial Technology, Bhubaneswar, India

University of Tübingen, Germany

Max Planck Institute for Intelligent Systems, Tübingen, Germany

Siemens (Technology R&D), Munich, Germany

Dell Technologies, Bangalore, India

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