no code implementations • 25 Oct 2022 • Steven A. Grosz, Joshua J. Engelsma, Rajeev Ranjan, Naveen Ramakrishnan, Manoj Aggarwal, Gerard G. Medioni, Anil K. Jain
We further demonstrate that by guiding the ViT to focus in on local, minutiae related features, we can boost the recognition performance.
no code implementations • 11 Mar 2022 • Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan
Semi-supervised object detection methods are widely used in autonomous driving systems, where only a fraction of objects are labeled.
no code implementations • 5 Dec 2016 • Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan, Mohak Shah
In this paper, we consider the problem of event classification with multi-variate time series data consisting of heterogeneous (continuous and categorical) variables.
no code implementations • 29 Sep 2016 • Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah
We introduce Universum learning for multiclass problems and propose a novel formulation for multiclass universum SVM (MU-SVM).
no code implementations • 19 Nov 2015 • Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah
The study is performed on several types of deep learning architectures and we evaluate the performance of the above frameworks when employed on a single machine for both (multi-threaded) CPU and GPU (Nvidia Titan X) settings.