Arjun Mani

profile pic

Hi there! 👋 I am a PhD student in Computer Science at Columbia University, where I work in machine learning. I am broadly interested in developing AI systems that can accelerate and transform scientific design and discovery, and in applying these systems to real-world problems in healthcare and climate change. I'm fortunate to be co-advised by Carl Vondrick and Rich Zemel, and to be supported by the NSF Graduate Research Fellowship.

Previously, I completed my Bachelors in Computer Science at Princeton University, with a minor in Applied Math. I had the pleasure of working with Olga Russakovsky in the Princeton Visual AI Lab and Ryan Adams. I also spent a summer at Google.

I am trained in Indian Classical Music and perform concerts. Music page coming soon!

linkedin github email email


Point and Ask: Incorporating Pointing into Visual Question Answering

Arjun Mani, Will Hinthorn, Nobline Yoo, Olga Russakovsky

VQA Workshop, CVPR 2021 (Poster Spotlight).

[arXiv] / [code]

We extend Visual Question Answering (VQA) to questions requiring pointing gestures and introduce benchmark datasets and model designs for this new question space.

Representing Words in a Geometric Algebra

Arjun Mani, Ryan Adams

Best Research Project, Princeton Program in Applied and Computational Mathematics (PACM)

[Report] / [Press release]

Represented word embeddings using multivectors in a geometric algebra and showed results suggesting greater expressivity in word similarity, analogy solving.

Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis

IEEE Transactions on Medical Imaging, vol. 36, no. 3, March 2017

Assaf Hoogi, Arjun Subramaniam*, Rishi Veerapaneni*, Daniel Rubin

[Paper] / [IEEE page]

Pioneered a deep learning-based, adaptive improvement of state-of-the-art segmentation techniques, which achieved ~10% accuracy gains on MRI and CT lesion datasets.


Check out my Projects page for various projects that I have worked or am working on, and my music page for links to past and upcoming performances. I will be starting up a blog soon as well, so keep an eye out for that!

Lastly, this website template owes thanks to Sharon Zhang.