Aditya Ganeshan
Researcher
Apple
Computer Vision / Computer Graphics / Machine Learning
What is my research about?
My research lies at the intersection of computer vision, computer graphics, and machine learning. I build systems that turn visual and geometric data into structured models by making parts, parameters, and constraints explicit. The goal is geometry that people and machines can edit, fabricate, and reason with.
Short Bio
I am a Researcher at Apple. I earned my Ph.D. in Computer Science from Brown University, where I was advised by Daniel Ritchie. I have spent time at Adobe Research and the University of Tokyo, and previously worked at Preferred Networks in Japan and the Video Analytics Lab at IISc, India. I earned my Integrated B. Sc. and M.Sc. in Applied Mathematics from IIT Roorkee. My work has appeared at CVPR, ICCV, SIGGRAPH Asia, and NeurIPS, with papers selected for oral presentations and one named a CVPR Award Candidate.
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Recent Talks
- 10 May 2026, Visual Computing Seminar, Dartmouth College, From Measurements to Structure, Annotation free acquisition of Symbolic Geometry
- 13 April 2026, MIT Visual Computing Seminar, MIT, From Measurements to Structure, Annotation free acquisition of Symbolic Geometry
- 11 March 2026, Toronto Graphics Seminar (DGP), University of Toronto, Making Japanese Joinery Millable & 3D Assets Editable
- 20 November 2025, NECV 2025, UMass Amherst, Residual Primitive Fitting of 3D Shapes with SuperFrusta
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Recent highlights and news:
- 27 July 2026 : I joined Apple as a 3D Generative AI / Computer Vision Researcher! I’m excited to work with David Jacob and the team on challenging new problems.
- 20 July 2026 : Reviewed four papers for NeurIPS 2026 and four papers for SIGGRAPH Asia 2026.
- 26 June 2026 : I successfully defended my PhD! Many thanks to my committee members: Daniel Ritchie, Adriana Schulz, and Takeo Igarashi.
- 20 May 2026 : Our paper titled Residual Primitive Fitting of 3D Shapes with SuperFrusta has been selected as an Award Candidate at CVPR 2026! It is one of 74 award candidates out of 4,072 submitted papers.
- 10 May 2026 : Gave a talk at Dartmouth’s Visual Computing Seminar with the same title, From Measurements to Structure, Annotation free acquisition of Symbolic Geometry. Thanks to Dhawal Sirikonda and Adithya Pediredla for inviting me!
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Most recent update: August 5, 2026.