no code implementations • 23 Dec 2022 • Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer
Managing novelty in perception-based human activity recognition (HAR) is critical in realistic settings to improve task performance over time and ensure solution generalization outside of prior seen samples.
no code implementations • 12 Dec 2022 • Dawei Du, Ameya Shringi, Anthony Hoogs, Christopher Funk
Our approach uses the reconstruction error to determine the novelty of the video since unknown classes are harder to put back together and thus have a higher reconstruction error than videos from known classes.
no code implementations • 27 Sep 2018 • Shagan Sah, Chi Zhang, Thang Nguyen, Dheeraj Kumar Peri, Ameya Shringi, Raymond Ptucha
We leverage a sequence-to-sequence model to generate synthetic captions that have the same meaning for having a robust image generation.
no code implementations • 27 Sep 2018 • Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Dominguez, Andreas Savakis, Ray Ptucha
Along with MMVR, we propose two improvements to the text conditioned image generation.