Robust image watermarking based on multiscale gradient direction quantization E Nezhadarya, ZJ Wang, RK Ward IEEE Transactions on Information Forensics and Security 6 (4), 1200-1213, 2011 | 145 | 2011 |
Adaptive Hierarchical Down-Sampling for Point Cloud Classification E Nezhadarya, E Taghavi, R Razani, B Liu, J Luo Computer Vision and Pattern Recognition (CVPR), 2020 | 124 | 2020 |
Dataset distillation using neural feature regression Y Zhou, E Nezhadarya, J Ba Advances in Neural Information Processing Systems 35, 9813-9827, 2022 | 87 | 2022 |
A new scheme for robust gradient vector estimation in color images E Nezhadarya, RK Ward IEEE Transactions on Image Processing 20 (8), 2211-2220, 2011 | 45 | 2011 |
Sparse representation-based image quality assessment T Guha, E Nezhadarya, RK Ward Signal Processing: Image Communication 29 (10), 1138-1148, 2014 | 42 | 2014 |
Image contrast enhancement by contourlet transform E Nezhadarya, MB Shamsollahi Proceedings ELMAR 2006, 81-84, 2006 | 31 | 2006 |
Image quality monitoring using spread spectrum watermarking E Nezhadarya, ZJ Wang, RK Ward 2009 16th IEEE International Conference on Image Processing (ICIP), 2233-2236, 2009 | 27 | 2009 |
BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird’s-Eye View Point Cloud E Nezhadarya, Y Liu, B Liu IEEE Intelligent Vehicles Symposium (IV), 2019 | 21 | 2019 |
Method and system for converting point cloud data for use with 2D convolutional neural networks ER Corral-Soto, E Nezhadarya, B Liu US Patent 10,915,793, 2021 | 19 | 2021 |
Method and system for semantic label generation using sparse 3D data E Nezhadarya, A Nabatchian, B Liu US Patent 10,983,217, 2021 | 14 | 2021 |
Estimating two-dimensional object bounding box information based on bird's-eye view point cloud E Nezhadarya, Y Liu, B Liu US Patent 10,970,871, 2021 | 13 | 2021 |
EOG artifact removal from EEG using ICA and ARMAX modeling E Nezhadarya, MB Shamsollahi Proc. of the 1st UAE Int. Conf. of the IEEE BMP, 145-149, 2005 | 12 | 2005 |
Learning sparse models for image quality assessment T Guha, E Nezhadarya, RK Ward 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 11 | 2014 |
Stochastic Whitening Batch Normalization S Zhang, E Nezhadarya, H Fashandi, J Liu, D Graham, M Shah Computer Vision and Pattern Recognition (CVPR), 2021 | 9 | 2021 |
Efficient Statistical Tests: A Neural Tangent Kernel Approach S Jia, E Nezhadarya, Y Wu, J Ba International Conference on Machine Learning (ICML), 2021 | 7 | 2021 |
Multiscale derivative transform and its application to image watermarking E Nezhadarya, RK Ward Digital Signal Processing 33, 148-155, 2014 | 7 | 2014 |
Semi-blind quality estimation of compressed videos using digital watermarking E Nezhadarya, RK Ward Digital Signal Processing 23 (5), 1483-1495, 2013 | 7 | 2013 |
An efficient method for robust gradient estimation of RGB color images E Nezhadarya, RK Ward 2009 16th IEEE International Conference on Image Processing (ICIP), 701-704, 2009 | 7 | 2009 |
Fuzzy wavelet and contourlet based contrast enhancement E Nezhadarya, MB Shamsollahi, O Sayadi 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 3 | 2006 |
Exploring Compositional Image Retrieval with Hybrid Compositional Learning and Heuristic Negative Mining C Wang, E Nezhadarya, T Sadhu, S Zhang Findings of the Association for Computational Linguistics: EMNLP 2022, 1273–1285, 2022 | 2 | 2022 |