Avirup Dey

I am a 2nd-year Computer Science PhD student at the University of Bath, advised by Prof. Vinay Namboodiri. I work on controllable generative models for 3D facial animation.

I completed my B.E. in Electronics and Communication Engineering in 2023, from Jadavpur University, India.
Previously, I was an undergraduate research assistant at DVLP-CMATER Lab, Jadavpur University under Prof. Nibaran Das, where I worked on deep learning-based models for document analysis and cell imaging. As a recipient of the Mitacs Globalink Research Internship, I spent the Summer of 2022 at Ontario Tech University, where I worked under Prof. Mehran Ebrahimi on MRI Super-Resolution. I have also worked as a research assistant at the IVPR Group under Prof. Ananda Shankar Chowdhury, where I worked on domain adaptation methods and event cameras.

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I'm broadly interested in controllable generative models. Currently, I'm working on steering diffusion models for facial animation. During the initial months of my PhD, I worked on audio-driven talking faces with 3D Gaussian Splatting in collaboration with DeepReel. Have some fun watching Elon imitating Marcus Antonius!
As an undergrad, I worked on inverse inverse imaging tasks like super-resolution and binarization. Check out my past works below.

TLDR: Pilot study on cross-modal MRI super-resolution. Optimized off-the-shelf i2i models to leverage sparsity of the scans.

TLDR: GAN-based augmentation helps segmentation models perform better on document binarization benchmarks (DIBCO).

TLDR: Expressing kernel convolution as a matrix-matrix product and reducing image rank boosts training efficiency.

© Avirup Dey. Template borrowed from John Barron