a) R&D on video analysis for human activity understanding funded by NASA’s Human Research Program
b) Worked with proprietary large scale activity recognition datasets from CAE Healthcare, Ford, PACCAR, Mecnica, Honda, Siemens, etc. for delivering experience on “Retroactivity platform” for increased worker productivity on assembly line
c) Developed a novel dynamic time warping based video alignment approach for self-supervised video representation learning, achieving 20% improvement over supervised baselines, published in CVPR’21 and filed as a patent (USPTO) with Retrocausal Inc.
d) Proposed a joint representation learning and online clustering approach for unsupervised action segmentation, obtaining upto 12% improvements over previous state-of-the-art, filed as a potential patent (USPTO) with Retrocausal Inc.
e) Developed an android application based Advanced Driver Assistance System (A.D.A.S.) for road scene understanding using the on-board Android Phone Sensors (which included Monocular Camera, GPS and Accelerometer), using custom built 3D Computer Vision Techniques