Viraj Shah

According to our database, Viraj Shah authored at least 25 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FMS²: Unified Flow Matching for Segmentation and Synthesis of Thin Structures.

Babak Asadi, Peiyang Wu, Mani Golparvar Fard, Viraj Shah, Ramez Hajj

CoRR, March, 2026

2025

Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks.

Rishi Veerapaneni, Alvin Tang, Haodong He, Sophia Zhao, Viraj Shah, Yidai Cen, Ziteng Ji, Gabriel Olin, Jon Arrizabalaga, Yorai Shaoul, Jiaoyang Li, Maxim Likhachev

CoRR, October, 2025

Reference-Guided Identity Preserving Face Restoration.

Mo Zhou, Keren Ye, Viraj Shah, Kangfu Mei, Mauricio Delbracio, Peyman Milanfar, Vishal M. Patel, Hossein Talebi

CoRR, May, 2025

JoIN: Joint GANs Inversion for Intrinsic Image Decomposition.

Viraj Shah, Svetlana Lazebnik, Julien Philip

Trans. Mach. Learn. Res., 2025

Hybrid deep learning model for predicting failure properties of asphalt binder from fracture surface images.

Babak Asadi, Viraj Shah, Abhilash Vyas, Mani Golparvar Fard, Ramez Hajj

Comput. Aided Civ. Infrastructure Eng., 2025

Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images.

Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Chang Liu, Svetlana Lazebnik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

UnZipLoRA: Separating Content and Style from a Single Image.

Chang Liu, Viraj Shah, Aiyu Cui, Svetlana Lazebnik

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

AMEST: Adaptive Morphologically Enhanced Subword Tokenization for Improved Language Model Perplexity.

Labib Asari, Dhruvanshu Joshi, Soham Mulye, Viraj Shah, Sandeep S. Udmale, Girish P. Bhole

Proceedings of the Computer Analysis of Images and Patterns, 2025

2024

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs.

Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images.

Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Svetlana Lazebnik

CoRR, 2023

Make It So: Steering StyleGAN for Any Image Inversion and Editing.

Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth

CoRR, 2023

2022

MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN.

Viraj Shah, Svetlana Lazebnik

CoRR, 2022

Near Perfect GAN Inversion.

Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez

CoRR, 2022

2021

Sparse signal recovery from modulo observations.

Viraj Shah, Chinmay Hegde

EURASIP J. Adv. Signal Process., 2021

Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation.

Praveen Venkatesh, Viraj Shah, Vrutik Shah, Yash Kamble, Joycee Mekie

CoRR, 2021

Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models.

Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde

CoRR, 2021

CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data.

Kalina Borkiewicz, Viraj Shah, Jill P. Naiman, Chuanyue Shen, Stuart Levy, Jeff Carpenter

Proceedings of the 2021 IEEE Visualization Conference, 2021

TweeNLP: A Twitter Exploration Portal for Natural Language Processing.

Viraj Shah, Shruti Singh, Mayank Singh

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models.

Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Encoding Invariances in Deep Generative Models.

Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

CoRR, 2019

Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval.

Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif

Proceedings of the IEEE International Conference on Acoustics, 2019

Signal Reconstruction From Modulo Observations.

Viraj Shah, Chinmay Hegde

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

Physics-aware Deep Generative Models for Creating Synthetic Microstructures.

Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

CoRR, 2018

Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees.

Viraj Shah, Chinmay Hegde

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Reconstruction from periodic nonlinearities, with applications to HDR imaging.

Viraj Shah, Mohammadreza Soltani, Chinmay Hegde

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017