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Ashish Shrivastava
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Learning from simulated and unsupervised images through adversarial training
A Shrivastava, T Pfister, O Tuzel, J Susskind, W Wang, R Webb
Proceedings of the IEEE conference on computer vision and pattern …, 2017
22922017
Multiple kernel learning for sparse representation-based classification
A Shrivastava, VM Patel, R Chellappa
IEEE Transactions on Image Processing 23 (7), 3013-3024, 2014
1102014
Segmenting “simple” objects using RGB-D
AK Mishra, A Shrivastava, Y Aloimonos
2012 IEEE International Conference on Robotics and Automation, 4406-4413, 2012
692012
Divide, denoise, and defend against adversarial attacks
SM Moosavi-Dezfooli, A Shrivastava, O Tuzel
arXiv preprint arXiv:1802.06806, 2018
612018
Learning discriminative dictionaries with partially labeled data
A Shrivastava, JK Pillai, VM Patel, R Chellappa
2012 19th IEEE International Conference on Image Processing, 3113-3116, 2012
522012
Synt++: Utilizing imperfect synthetic data to improve speech recognition
TY Hu, M Armandpour, A Shrivastava, JHR Chang, H Koppula, O Tuzel
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
462022
Unsupervised domain adaptation using parallel transport on Grassmann manifold
A Shrivastava, S Shekhar, VM Patel
IEEE winter conference on applications of computer vision, 277-284, 2014
422014
Generalized dictionaries for multiple instance learning
A Shrivastava, VM Patel, JK Pillai, R Chellappa
International Journal of Computer Vision 114, 288-305, 2015
392015
Unsupervised style and content separation by minimizing mutual information for speech synthesis
TY Hu, A Shrivastava, O Tuzel, C Dhir
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
372020
Non-linear dictionary learning with partially labeled data
A Shrivastava, VM Patel, R Chellappa
Pattern Recognition 48 (11), 3283-3292, 2015
282015
Design of non-linear discriminative dictionaries for image classification
A Shrivastava, HV Nguyen, VM Patel, R Chellappa
Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013
272013
Sapaugment: Learning a sample adaptive policy for data augmentation
TY Hu, A Shrivastava, JHR Chang, H Koppula, S Braun, K Hwang, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
242021
Style equalization: Unsupervised learning of controllable generative sequence models
JHR Chang, A Shrivastava, H Koppula, X Zhang, O Tuzel
International Conference on Machine Learning, 2917-2937, 2022
222022
Multiple kernel-based dictionary learning for weakly supervised classification
A Shrivastava, JK Pillai, VM Patel
Pattern Recognition 48 (8), 2667-2675, 2015
222015
Optimize what matters: Training dnn-hmm keyword spotting model using end metric
A Shrivastava, A Kundu, C Dhir, D Naik, O Tuzel
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
192021
Dictionary-based multiple instance learning
A Shrivastava, JK Pillai, VM Patel, R Chellappa
2014 IEEE International Conference on Image Processing (ICIP), 160-164, 2014
192014
Class consistent multi-modal fusion with binary features
A Shrivastava, M Rastegari, S Shekhar, R Chellappa, LS Davis
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
152015
Method for generating high-resolution images using regression patterns
F Porikli, A Shrivastava, J Thornton
US Patent 9,734,558, 2017
132017
Defense against adversarial attacks on neural networks
A Shrivastava, CO Tuzel, S Moosavi-Dezfooli
US Patent 10,984,272, 2021
72021
Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling
A Mehra, JR Bellegarda, O Bapat, H Koppula, R Chang, A Shrivastava, ...
2021 29th European Signal Processing Conference (EUSIPCO), 1396-1400, 2021
32021
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