Mehar Khurana

I am an MS in Robotics student at Carnegie Mellon University.

I recently completed my undergrad at IIIT Delhi, where I worked with Prof. Saket Anand and Depanshu Sani on Active Learning in Animal Re-Identification.

Previously, I was a research intern at the Toronto Computation Imaging Group (TCIG), where I worked with Prof. David Lindell and Anagh Malik on multi-view reconstruction using single-photon images, and curated a single-photon dataset.

I have also worked with Prof. Deva Ramanan, Prof. James Hays and Neehar Peri on cross-modal pre-training for 3D object detection.

Email  /  CV  /  Scholar  /  GitHub

Research

I am interested in the fields of computer vision, robot learning and computational imaging. My research primarily focuses on understanding and interpreting the physical world.

Pre-training on pseudolabels generated by 2D foundation models significantly improves 3D object detection accuracy with limited labeled data for both LiDAR-only and multi-modal detectors.

An active learning framework that uses disagreement between clustering methods to select informative and ambiguous samples, improving performance of animal re-identification models while minimizing annotation effort.

Source code stolen from Jon Barron's website.