Ameesh Makadia
I am currently a Research Scientist with Google in NYC.
My research interests lie at the intersection of Computer Vision and Machine Learning.
For more details and a complete publication list please visit my personal site.
Research Areas
Authored Publications
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Google
Scaling Spherical CNNs
Jean-Jacques Slotine
International Conference on Machine Learning (ICML) (2023)
ASIC: Aligning Sparse in-the-wild Image Collections
Kamal Gupta
Varun Jampani
Abhinav Shrivastava
Abhishek Kar
International Conference on Computer Vision (ICCV) (2023)
Learning to Transform for Generalizable Instance-wise Invariance
Utkarsh Singhal
Stella Yu
International Conference on Compute Vision (2023)
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Varun Jampani
Andreas Engelhardt
Arjun Karpur
Karen Truong
Kyle Sargent
Ricardo Martin-Brualla
Kaushal Patel
Daniel Vlasic
Vittorio Ferrari
Ce Liu
Neural Information Processing Systems (NeurIPS) (2023)
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
Zezhou Cheng
Varun Jampani
Abhishek Kar
Subhransu Maji
International Conference on Computer Vision (ICCV) (2023)
Light Field Neural Rendering
Leonid Sigal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Generalizable Patch-Based Neural Rendering
Leonid Sigal
European Conference on Computer Vision (2022) (to appear)
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision
Kieran Alexander Murphy
Varun Jampani
Computer vision and pattern recognition (CVPR) 2022 (to appear)
De-rendering the World’s Revolutionary Artefacts
Elliott Wu
Jiajun Wu
Angjoo Kanazawa
Computer Vision and Pattern Recognition (CVPR) (2021)
