35 citations · 72 across the 5 of their papers we have counts for
5 papers
Dataset Distillation using Neural Feature Regression
Yongchao Zhou, Ehsan Nezhadarya, Jimmy Ba
Dataset distillation aims to learn a small synthetic dataset that preserves most of the information from the original dataset. Dataset distillation can be formulated as a bi-level…
Stochastic Whitening Batch Normalization
Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi +3
Batch Normalization (BN) is a popular technique for training Deep Neural Networks (DNNs). BN uses scaling and shifting to normalize activations of mini-batches to accelerate conver…
BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud
Ehsan Nezhadarya, Yang Liu, Bingbing Liu
We present a learning-based method to estimate the object bounding box from its 2D bird's-eye view (BEV) LiDAR points. Our method, entitled BoxNet, exploits a simple deep neural ne…
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani +2
While several convolution-like operators have recently been proposed for extracting features out of point clouds, down-sampling an unordered point cloud in a deep neural network ha…
Sparse Representation-based Image Quality Assessment
Tanaya Guha, Ehsan Nezhadarya, Rabab K Ward
A successful approach to image quality assessment involves comparing the structural information between a distorted and its reference image. However, extracting structural informat…