Viraj Shah

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 23

Top Topics

Intrinsic Image Decomposition

Provably Convergent

Language Processing

Generative Model

Top Venues

EURASIP J. Adv. Signal Process.

Publications

Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. CoRR (2023)
Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth
Make It So: Steering StyleGAN for Any Image Inversion and Editing. CoRR (2023)
Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Svetlana Lazebnik
Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. CoRR (2023)
Viraj Shah, Svetlana Lazebnik, Julien Philip
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. CoRR (2023)
Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez
Near Perfect GAN Inversion. CoRR (2022)
Viraj Shah, Svetlana Lazebnik
MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN. CoRR (2022)
Viraj Shah, Shruti Singh, Mayank Singh
TweeNLP: A Twitter Exploration Portal for Natural Language Processing. CoRR (2021)
Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models. CoRR (2021)
Kalina Borkiewicz, Viraj Shah, Jill P. Naiman, Chuanyue Shen, Stuart Levy, Jeff Carpenter
CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data. IEEE VIS (Short Papers) (2021)
Praveen Venkatesh, Viraj Shah, Vrutik Shah, Yash Kamble, Joycee Mekie
Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation. CoRR (2021)
Viraj Shah, Shruti Singh, Mayank Singh
TweeNLP: A Twitter Exploration Portal for Natural Language Processing. ACL (demo) (2021)
Viraj Shah, Chinmay Hegde
Sparse signal recovery from modulo observations. EURASIP J. Adv. Signal Process. 2021 (1) (2021)
Kalina Borkiewicz, Viraj Shah, Jill P. Naiman, Chuanyue Shen, Stuart Levy, Jeff Carpenter
CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data. CoRR (2021)
Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI (2020)
Viraj Shah, Chinmay Hegde
Signal Reconstruction From Modulo Observations. GlobalSIP (2019)
Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. ICASSP (2019)
Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Encoding Invariances in Deep Generative Models. CoRR (2019)
Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. CoRR (2019)
Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Physics-aware Deep Generative Models for Creating Synthetic Microstructures. CoRR (2018)
Viraj Shah, Chinmay Hegde
Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees. ICASSP (2018)
Viraj Shah, Chinmay Hegde
Signal Reconstruction from Modulo Observations. CoRR (2018)
Viraj Shah, Chinmay Hegde
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees. CoRR (2018)
Viraj Shah, Mohammadreza Soltani, Chinmay Hegde
Reconstruction from periodic nonlinearities, with applications to HDR imaging. ACSSC (2017)