Krish Singh

I am a PhD student at Visual Inference Lab at TU Darmstadt with Dr. Stefan Roth , where I work on computer vision and machine learning.

I am interested in generative modeling with a particular focus on compositionality and disentanglement of scenes. I previously spent three beautiful years at Rakuten research working on object detection, retrieval, and complementary item recommendation for fashion images. I completed my graduation from IIT Hyderabad , where I was advised by Vineeth N Balasubramanian .

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Research

I'm interested in computer vision, machine learning, optimization, and image processing. Much of my research is focused on generative modeling with a focus on compositionality and disentanglement for images.

Disentangling the joint space of a pretrained GAN into semantic and style space using normalizing flow enables more precise edits in both the semantic and style domains.

A Submodular objective for batch selection for creating diverse batches for training neural networks faster and more efficiently.

An empirical and theoretical analysis of submodular functions for creating mini-batches for SGD. The thesis showed that our novel submodular objective empirically reduces the variance of SGD-type algorithms, leading to faster convergence of the optimization process.

Work Experience

Miscellanea

Teaching & Reviewing

Website Credits to Mr. Jon Barron source code
Link to his website : Go