1 code implementation • 23 Sep 2023 • Aryaman Gupta, Kaustav Chakraborty, Somil Bansal
Our results show the efficacy of the proposed approach in identifying and handling system-level anomalies, outperforming methods such as prediction error-based detection, and ensembling, thereby enhancing the overall safety and robustness of autonomous systems.
2 code implementations • 16 Jun 2019 • Ulrik Günther, Tobias Pietzsch, Aryaman Gupta, Kyle I. S. Harrington, Pavel Tomancak, Stefan Gumhold, Ivo F. Sbalzarini
Life science today involves computational analysis of a large amount and variety of data, such as volumetric data acquired by state-of-the-art microscopes, or mesh data resulting from analysis of such data or simulations.
Graphics
1 code implementation • 3 Dec 2018 • Aryaman Gupta, Kalpit Thakkar, Vineet Gandhi, P. J. Narayanan
Monocular head pose estimation requires learning a model that computes the intrinsic Euler angles for pose (yaw, pitch, roll) from an input image of human face.
Ranked #2 on Head Pose Estimation on AFLW