no code implementations • 23 Mar 2023 • Trung Pham, Mehran Maghoumi, Wanli Jiang, Bala Siva Sashank Jujjavarapu, Mehdi Sajjadi, Xin Liu, Hsuan-Chu Lin, Bor-Jeng Chen, Giang Truong, Chao Fang, Junghyun Kwon, Minwoo Park
Achieving robust and real-time 3D perception is fundamental for autonomous vehicles.
no code implementations • 3 Jul 2017 • Tolga Tasdizen, Mehdi Sajjadi, Mehran Javanmardi, Nisha Ramesh
We present a neighborhood similarity layer (NSL) which induces appearance invariance in a network when used in conjunction with convolutional layers.
no code implementations • NeurIPS 2016 • Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen
Effective convolutional neural networks are trained on large sets of labeled data.
Ranked #14 on Semi-Supervised Image Classification on SVHN, 250 Labels
no code implementations • 9 Jun 2016 • Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen
In this paper we consider the problem of semi-supervised learning with deep Convolutional Neural Networks (ConvNets).
2 code implementations • 4 May 2016 • Mehran Javanmardi, Mehdi Sajjadi, Ting Liu, Tolga Tasdizen
This can be seen as a regularization term that promotes piecewise smoothness of the label probability vector image produced by the ConvNet during learning.
1 code implementation • 30 Dec 2014 • Mehdi Sajjadi, Mojtaba Seyedhosseini, Tolga Tasdizen
Backpropagation, which is used to train artificial neural networks, suffers from the herd effect problem which leads to long training times and limit classification accuracy.