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ORCIDAshish Shrivastava 0001
Person information
- affiliation: Cruise LLC, USA
- affiliation (former): Apple Inc, USA
- affiliation (former): University of Maryland College Park, USA
Other persons with the same name
- Ashish Shrivastava — disambiguation page
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2020 – today
- 2024
[i14]Bharat Singh, Viveka Kulharia, Luyu Yang, Avinash Ravichandran, Ambrish Tyagi, Ashish Shrivastava:
GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR. CoRR abs/2406.10722 (2024)- [i13]Nirat Saini, Navaneeth Bodla, Ashish Shrivastava, Avinash Ravichandran, Xiao Zhang, Abhinav Shrivastava, Bharat Singh:
InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models. CoRR abs/2407.10958 (2024) - [i12]Zaiwei Zhang, Gregory P. Meyer, Zhichao Lu, Ashish Shrivastava, Avinash Ravichandran, Eric M. Wolff:
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. CoRR abs/2408.16930 (2024) - 2023
- [c16]Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai:
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. ICCV 2023: 8459-8469 - [c15]Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai:
NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects. ICCV (Workshops) 2023: 4290-4294 - [i11]Charles Y. Zhang, Ashish Shrivastava:
AptSim2Real: Approximately-Paired Sim-to-Real Image Translation. CoRR abs/2303.12704 (2023) - [i10]Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai:
NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects. CoRR abs/2308.12560 (2023) - [i9]Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai:
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. CoRR abs/2309.05810 (2023) - 2022
- [c14]Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel:
SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. ICASSP 2022: 7682-7686 - [c13]Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel:
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. ICML 2022: 2917-2937 - [i8]Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik:
I see what you hear: a vision-inspired method to localize words. CoRR abs/2210.13567 (2022) - 2021
- [c12]Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Hema Koppula, Jen-Hao Rick Chang, Ashish Shrivastava, Oncel Tuzel:
Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling. EUSIPCO 2021: 1396-1400 - [c11]Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel:
Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. ICASSP 2021: 4000-4004 - [c10]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. ICASSP 2021: 4040-4044 - [i7]Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel:
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. CoRR abs/2110.02891 (2021) - [i6]Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel:
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. CoRR abs/2110.11479 (2021) - 2020
- [j5]Kunfeng Wang
, Fei-Yue Wang, Visvanathan Ramesh, Ashish Shrivastava, David Vázquez, Fuxin Li:
Generating virtual images for promoting visual artificial intelligence. Neurocomputing 394: 112-113 (2020) - [c9]Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. ICASSP 2020: 3267-3271 - [i5]Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. CoRR abs/2003.06227 (2020) - [i4]Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel:
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric. CoRR abs/2011.01151 (2020) - [i3]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. CoRR abs/2011.01156 (2020)
2010 – 2019
- 2019
- [c8]Ashish Shrivastava, Oncel Tuzel:
Learning Conditional Error Model for Simulated Time-Series Data. CVPR Workshops 2019: 91-94 - 2018
- [i2]Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel:
Divide, Denoise, and Defend against Adversarial Attacks. CoRR abs/1802.06806 (2018) - 2017
- [c7]Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb:
Learning from Simulated and Unsupervised Images through Adversarial Training. CVPR 2017: 2242-2251 - 2016
- [i1]Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russell Webb:
Learning from Simulated and Unsupervised Images through Adversarial Training. CoRR abs/1612.07828 (2016) - 2015
- [b1]Ashish Shrivastava:
Sparse Representation, Discriminative Dictionaries and Projections for Visual Classification. University of Maryland, College Park, MD, USA, 2015 - [j4]Ashish Shrivastava, Vishal M. Patel, Jaishanker K. Pillai, Rama Chellappa:
Generalized Dictionaries for Multiple Instance Learning. Int. J. Comput. Vis. 114(2-3): 288-305 (2015) - [j3]Ashish Shrivastava, Jaishanker K. Pillai, Vishal M. Patel:
Multiple kernel-based dictionary learning for weakly supervised classification. Pattern Recognit. 48(8): 2667-2675 (2015) - [j2]Ashish Shrivastava, Vishal M. Patel, Rama Chellappa:
Non-linear dictionary learning with partially labeled data. Pattern Recognit. 48(11): 3283-3292 (2015) - [c6]Ashish Shrivastava, Mohammad Rastegari, Sumit Shekhar, Rama Chellappa, Larry S. Davis:
Class consistent multi-modal fusion with binary features. CVPR 2015: 2282-2291 - 2014
- [j1]Ashish Shrivastava, Vishal M. Patel, Ramalingam Chellappa:
Multiple Kernel Learning for Sparse Representation-Based Classification. IEEE Trans. Image Process. 23(7): 3013-3024 (2014) - [c5]Ashish Shrivastava, Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa:
Dictionary-based multiple instance learning. ICIP 2014: 160-164 - [c4]Ashish Shrivastava, Sumit Shekhar, Vishal M. Patel:
Unsupervised domain adaptation using parallel transport on Grassmann manifold. WACV 2014: 277-284 - 2012
- [c3]Ashish Shrivastava, Hien Van Nguyen, Vishal M. Patel, Rama Chellappa:
Design of Non-Linear Discriminative Dictionaries for Image Classification. ACCV (1) 2012: 660-674 - [c2]Ashish Shrivastava, Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa:
Learning discriminative dictionaries with partially labeled data. ICIP 2012: 3113-3116 - [c1]Ajay K. Mishra, Ashish Shrivastava, Yiannis Aloimonos:
Segmenting "simple" objects using RGB-D. ICRA 2012: 4406-4413
Coauthor Index
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