Viraj Shah - RankMe

32 papers A* 1A 1Misc 3Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FMS CoRR Babak Asadi, Peiyang Wu, Mani Golparvar Fard, Viraj Shah, Ramez Hajj
2025	—	`conf`	AMEST: Adaptive Morphologically Enhanced Subword Tokenization for Improved Language Model Perplexity. CAIP (2) Labib Asari, Dhruvanshu Joshi, Soham Mulye, Viraj Shah, Sandeep S. Udmale, Girish P. Bhole
2025	J	`jnl`	Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks. CoRR Rishi Veerapaneni, Alvin Tang, Haodong He, Sophia Zhao, Viraj Shah, Yidai Cen, Ziteng Ji, Gabriel Olin, Jon Arrizabalaga, Yorai Shaoul, Jiaoyang Li, Maxim Likhachev
2025	J	`jnl`	Hybrid deep learning model for predicting failure properties of asphalt binder from fracture surface images. Comput. Aided Civ. Infrastructure Eng. Babak Asadi, Viraj Shah, Abhilash Vyas, Mani Golparvar Fard, Ramez Hajj
2025	J	`jnl`	JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. Trans. Mach. Learn. Res. Viraj Shah, Svetlana Lazebnik, Julien Philip
2025	J	`jnl`	Reference-Guided Identity Preserving Face Restoration. CoRR Mo Zhou, Keren Ye, Viraj Shah, Kangfu Mei, Mauricio Delbracio, Peyman Milanfar, Vishal M. Patel, Hossein Talebi
2025	A	`conf`	Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. WACV Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Chang Liu, Svetlana Lazebnik
2024	J	`jnl`	UnZipLoRA: Separating Content and Style from a Single Image. CoRR Chang Liu, Viraj Shah, Aiyu Cui, Svetlana Lazebnik
2024	—	`conf`	ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. ECCV (1) Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani
2023	J	`jnl`	JoIN: Joint GANs Inversion for Intrinsic Image Decomposition. CoRR Viraj Shah, Svetlana Lazebnik, Julien Philip
2023	J	`jnl`	Make It So: Steering StyleGAN for Any Image Inversion and Editing. CoRR Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth
2023	J	`jnl`	Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images. CoRR Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Svetlana Lazebnik
2023	J	`jnl`	ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. CoRR Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani
2022	J	`jnl`	MultiStyleGAN: Multiple One-shot Face Stylizations using a Single GAN. CoRR Viraj Shah, Svetlana Lazebnik
2022	J	`jnl`	Near Perfect GAN Inversion. CoRR Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez
2021	—	`conf`	CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data. IEEE VIS (Short Papers) Kalina Borkiewicz, Viraj Shah, Jill P. Naiman, Chuanyue Shen, Stuart Levy, Jeff Carpenter
2021	J	`jnl`	CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data. CoRR Kalina Borkiewicz, Viraj Shah, Jill P. Naiman, Chuanyue Shen, Stuart Levy, Jeff Carpenter
2021	J	`jnl`	Learning by Cheating : An End-to-End Zero Shot Framework for Autonomous Drone Navigation. CoRR Praveen Venkatesh, Viraj Shah, Vrutik Shah, Yash Kamble, Joycee Mekie
2021	J	`jnl`	Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models. CoRR Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde
2021	J	`jnl`	Sparse signal recovery from modulo observations. EURASIP J. Adv. Signal Process. Viraj Shah, Chinmay Hegde
2021	—	`conf`	TweeNLP: A Twitter Exploration Portal for Natural Language Processing. ACL (demo) Viraj Shah, Shruti Singh, Mayank Singh
2021	J	`jnl`	TweeNLP: A Twitter Exploration Portal for Natural Language Processing. CoRR Viraj Shah, Shruti Singh, Mayank Singh
2020	A*	`conf`	InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2019	Misc	`conf`	Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. ICASSP Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif
2019	J	`jnl`	Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. CoRR Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif
2019	J	`jnl`	Encoding Invariances in Deep Generative Models. CoRR Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2019	—	`conf`	Signal Reconstruction From Modulo Observations. GlobalSIP Viraj Shah, Chinmay Hegde
2018	J	`jnl`	Physics-aware Deep Generative Models for Creating Synthetic Microstructures. CoRR Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2018	J	`jnl`	Signal Reconstruction from Modulo Observations. CoRR Viraj Shah, Chinmay Hegde
2018	J	`jnl`	Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees. CoRR Viraj Shah, Chinmay Hegde
2018	Misc	`conf`	Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees. ICASSP Viraj Shah, Chinmay Hegde
2017	Misc	`conf`	Reconstruction from periodic nonlinearities, with applications to HDR imaging. ACSSC Viraj Shah, Mohammadreza Soltani, Chinmay Hegde