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Aditya Ganeshan

CS PhD Student
Brown University
Graphics / Vision / Mathematics / Machine Learning / Music
Most recent update: April 4th 2025.

What I am doing now:

I am contributing towards two research directions: a) Designing tool to aid CNC Milling of Tsugite Joints and b) helping understand and improve text2visualprogram pipeline(s). Apart from that, I sometimes spend time trying to make music and understanding different graphics/vision/pl problems/ideas.

Short Bio: Aditya Ganeshan is a forth-year Ph.D. student at the Brown Visual Computing group, advised by Professor Daniel Ritchie. He is interested in developing techniques for inferring and using structured representations for 2D and 3D data. Previously, he worked on vision system for autonomous driving at Preferred Networks Inc., Japan, and on adversarial robustness at IISc, India. He completed his Bachelor’s in Applied Mathematics at IIT Roorkee, India.

Recent Research:

Pattern Analogies - Learning to Perform Programmatic Image Edits by Analogy

A. Ganeshan, Thibault Groueix, Paul Guerrero, Radomír Měch, Matthew Fisher and Daniel Ritchie

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2025

ParSEL - Parameterized Shape Editing with Language

A. Ganeshan, Ryan Y. Huang, Xianghao Xu, R. Kenny Jones and Daniel Ritchie

ACM Siggraph Asia 2024, Journal at Transactions on Graphics (TOG) 2024.

Learning to Edit Visual Programs with Self-Supervision

R Kenny Jones, Renhao Zhang, A. Ganeshan, Daniel Ritchie

Conference on Neural Information Processing Systems (NeurIPS), 2024

Improving Unsupervised Visual Program Inference with Code Rewriting Families

A. Ganeshan, R. Kenny Jones and Daniel Ritchie

Oral (1.8%) IEEE / CVF International Conference on Computer Vision (ICCV), 2023

Skill Generalization with Verbs

R. Ma, L. Lam, B. A. Spiegel, A. Ganeshan, B. Abbatematteo, R. Patel, D. Paulius, S. Tellex, G. Konidaris.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

Recent highlights and news:

  • 25 February 2025 : Our paper titled: Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy has been accepted as a poster presentation at CVPR 2025! Learn more about the project here.
  • 19 February 2025 : I gave a talk at the Structural Origami Gathering 2025, held at Keio University, on our project on milling Tsugite joints.
  • 30 November 2024 : I’ll be working as a visiting researcher at Igarashi Lab at the University of Tokyo for the next three months! Thanks to Maria Larsson and Takeo Igarashi for hosting me!
  • 27 July 2024 : Thanks to Aditya Ganeshan for sponsoring my trip to Denver to attend SIGGRAPH 2024 (:P)! A Pleasant experience! Lots of project ideas and relations to take home!
  • 27 May 2024 : I am in San Francisco this summer to do some very interesting research with Matt Fisher and Thibault Groueix!
  • See all news ...