Aman Mehra

I'm a second year MS Robotics student at Carnegie Mellon University where I am advised by Prof. Jeff Schneider. I have also collaborated with Prof. Aditi Raghunathan and Prof. Zico Kolter. I am broadly interested in topics spanning generalization, reinforcement learning and perception.

Previously, I spent a wonderful year as a research fellow at Microsoft Research where I worked with Saikat Guha on image generation and perspective geometry.

I did my undergrad from IIIT Delhi and graduated in 2021 with a major in CS. During this time I worked with Prof. Mayank Vatsa, Prof. Richa Singh and Prof. Sanjit Kaul

CV / Google Scholar / Github

Research

	Predicting the Performance of Foundation Models via Agreement-on-the-line Aman Mehra, Rahul Saxena, Taeyoun Kim*, Christina Baek, J Zico Kolter, Aditi Raghunathan NeurIPS R0-FoMo Workshop , 2023 NeurIPS DistShift Workshop , 2023 Arxiv / Poster Understanding when can accuracy of finetuned foundation models be reliably estimated out-of-distribution with the phenomemon of Agreement-on-the-Line.
	Motion Magnified 3D Residual-in-Dense Network for Deepfake Detection Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh IEEE Transactions on Biometrics, Behavior, and Identity Science , 2022 Link / PDF / Bibtex Amplifying temporal inconsistencies to detect deepfake videos with confounding JPEG compression artifacts.
	Detection of Digital Manipulation in Facial Images (Student Abstract) Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh AAAI (Student Abstract) , 2021 Link / Bibtex Detecting deepfake videos through 3D CNNs.

Projects

	Sparse Voxel Grids for Accelerated Inverse Rendering Aman Mehra Report, 2023 PDF Accelerated inverse rendering from posed multi-view images via sparse voxel grids.
	Lottery Tickets through the lens of Random Matrix Theory Aman Mehra Report, 2021 PDF A study to probe whether analysis from random matrix theory can characterize winning lotteries in deep networks.
	Refresh Stale Transitions in Replay Buffer Aman Mehra Report, 2021 PDF/ Code Improving sample efficiency in off-policy RL by refreshing stale transitions in replay buffer.
	CUDA accelerated RRT Aman Mehra, Paras Sharma, Savit Gupta Report, 2021 PDF / Code An implementation of the RRT algorithm accelerated using Quad Trees and CUDA

Game Recreations

Angry Birds
Aman Mehra
2017
Code

Flappy Bird
Aman Mehra
2016
Code

Miscellaneous

Reviewer, NeurIPS Workshop 2023
Reviewer, ICCV Workshop 2023