Design of Non-Linear Discriminative Dictionaries for Image Classification. - Ashish Shrivastava 001; Hien Van Nguyen; Vishal M. Patel; Rama Chellappa (ACCV (1), 2012)

Learning discriminative dictionaries with partially labeled data. - Ashish Shrivastava 001; Jaishanker K. Pillai; Vishal M. Patel; Rama Chellappa (ICIP, 2012)

Segmenting "simple" objects using RGB-D. - Ajay K. Mishra; Ashish Shrivastava 001; Yiannis Aloimonos (ICRA, 2012)

Dictionary-based multiple instance learning. - Ashish Shrivastava 001; Jaishanker K. Pillai; Vishal M. Patel; Rama Chellappa (ICIP, 2014)

Unsupervised domain adaptation using parallel transport on Grassmann manifold. - Ashish Shrivastava 001; Sumit Shekhar; Vishal M. Patel (WACV, 2014)

Multiple Kernel Learning for Sparse Representation-Based Classification. - Ashish Shrivastava 001; Vishal M. Patel; Ramalingam Chellappa (IEEE Trans. Image Process., 2014)

Class consistent multi-modal fusion with binary features. - Ashish Shrivastava 001; Mohammad Rastegari; Sumit Shekhar; Rama Chellappa; Larry S. Davis (CVPR, 2015)

Generalized Dictionaries for Multiple Instance Learning. - Ashish Shrivastava 001; Vishal M. Patel; Jaishanker K. Pillai; Rama Chellappa (Int. J. Comput. Vis., 2015)

Non-linear dictionary learning with partially labeled data. - Ashish Shrivastava 001; Vishal M. Patel; Rama Chellappa (Pattern Recognit., 2015)

Multiple kernel-based dictionary learning for weakly supervised classification. - Ashish Shrivastava 001; Jaishanker K. Pillai; Vishal M. Patel (Pattern Recognit., 2015)

Sparse Representation, Discriminative Dictionaries and Projections for Visual Classification. - Ashish Shrivastava 001 (2015)

Learning from Simulated and Unsupervised Images through Adversarial Training. - Ashish Shrivastava 001; Tomas Pfister; Oncel Tuzel; Joshua Susskind; Wenda Wang; Russell Webb (CVPR, 2017)

Divide, Denoise, and Defend against Adversarial Attacks. - Seyed-Mohsen Moosavi-Dezfooli; Ashish Shrivastava 001; Oncel Tuzel (CoRR, 2018)

Learning Conditional Error Model for Simulated Time-Series Data. - Ashish Shrivastava 001; Oncel Tuzel (CVPR Workshops, 2019)

Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. - Ting-Yao Hu; Ashish Shrivastava 001; Oncel Tuzel; Chandra Dhir (ICASSP, 2020)

Generating virtual images for promoting visual artificial intelligence. - Kunfeng Wang; Fei-Yue Wang 001; Visvanathan Ramesh; Ashish Shrivastava 001; David Vázquez 001; Fuxin Li (Neurocomputing, 2020)

Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling. - Akash Mehra; Jerome R. Bellegarda; Ojas Bapat; Hema Koppula; Jen-Hao Rick Chang; Ashish Shrivastava 001; Oncel Tuzel (EUSIPCO, 2021)

SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. - Ting-Yao Hu; Ashish Shrivastava 001; Jen-Hao Rick Chang; Hema Koppula; Stefan Braun; Kyuyeon Hwang; Ozlem Kalinli; Oncel Tuzel (ICASSP, 2021)

Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. - Ashish Shrivastava 001; Arnav Kundu; Chandra Dhir; Devang Naik; Oncel Tuzel (ICASSP, 2021)

SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. - Ting-Yao Hu; Mohammadreza Armandpour; Ashish Shrivastava 001; Jen-Hao Rick Chang; Hema Koppula; Oncel Tuzel (ICASSP, 2022)

Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. - Jen-Hao Rick Chang; Ashish Shrivastava 001; Hema Koppula; Xiaoshuai Zhang; Oncel Tuzel (ICML, 2022)

I see what you hear: a vision-inspired method to localize words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Minsik Cho; Aman Chadha; Ashish Shrivastava 001; Oncel Tuzel; Devang Naik (CoRR, 2022)

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. - Hongge Chen; Zhao Chen; Gregory P. Meyer; Dennis Park; Carl Vondrick; Ashish Shrivastava 001; Yuning Chai (ICCV, 2023)

NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects. - Dakshit Agrawal; Jiajie Xu; Siva Karthik Mustikovela; Ioannis Gkioulekas; Ashish Shrivastava 001; Yuning Chai (ICCV (Workshops), 2023)

AptSim2Real: Approximately-Paired Sim-to-Real Image Translation. - Charles Y. Zhang; Ashish Shrivastava 001 (CoRR, 2023)

GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR. - Bharat Singh; Viveka Kulharia; Luyu Yang; Avinash Ravichandran; Ambrish Tyagi; Ashish Shrivastava 001 (CoRR, 2024)

InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models. - Nirat Saini; Navaneeth Bodla; Ashish Shrivastava 001; Avinash Ravichandran; Xiao Zhang; Abhinav Shrivastava; Bharat Singh (CoRR, 2024)

VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. - Zaiwei Zhang; Gregory P. Meyer; Zhichao Lu; Ashish Shrivastava 001; Avinash Ravichandran; Eric M. Wolff (CoRR, 2024)