Sreyas Mohan

According to our database, Sreyas Mohan authored at least 21 papers between 2017 and 2025.

Collaborative distances:

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

2025

Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset.

Vasu Agrawal, Akinniyi Akinyemi, Kathryn Alvero, Morteza Behrooz, Julia Buffalini, Fabio Maria Carlucci, Joy Chen, Junming Chen, Zhang Chen, Shiyang Cheng, Praveen Chowdary, Joe Chuang, Antony D'Avirro, Jon Daly, Ning Dong, Mark Duppenthaler, Cynthia Gao, Jeffrey M. Girard, Martin Gleize, Sahir Gomez, Hongyu Gong, Srivathsan Govindarajan, Brandon Han, Sen He, Denise Hernandez, Yordan Hristov, Rongjie Huang, Hirofumi Inaguma, Somya Jain, Raj Janardhan, Qingyao Jia, Christopher Klaiber, Dejan Kovachev, Moneish Kumar, Hang Li, Yilei Li, Pavel Litvin, Wei Liu, Guangyao Ma, Jing Ma, Martin Ma, Xutai Ma, Lucas Mantovani, Sagar Miglani, Sreyas Mohan, Louis-Philippe Morency, Evonne Ng, Kam-Woh Ng, Tu Anh Nguyen, Amia Oberai, Benjamin N. Peloquin, Juan Pino, Jovan Popovic, Omid Poursaeed, Fabian Prada, Alice Rakotoarison, Rakesh Ranjan, Alexander Richard, Christophe Ropers, Safiyyah Saleem, Vasu Sharma, Alex Shcherbyna, Jia Shen, Jie Shen, Anastasis Stathopoulos, Anna Y. Sun, Paden Tomasello, Tuan Tran, Arina Turkatenko, Bo Wan, Chao Wang, Jeff Wang, Mary Williamson, Carleigh Wood, Tao Xiang, Yilin Yang, Julien Yao, Chen Zhang, Jiemin Zhang, Xinyue Zhang, Jason Zheng, Pavlo Zhyzheria, Jan Zikes, Michael Zollhöfer

CoRR, June, 2025

InteractAvatar: Modeling Hand-Face Interaction in Photorealistic Avatars with Deformable Gaussians.

Kefan Chen, Sergiu Oprea, Justin Theiss, Sreyas Mohan, Srinath Sridhar, Aayush Prakash

CoRR, April, 2025

Learn, Denoise, and Discover: A guide to deep denoising with an application to electron microscopy.

Sreyas Mohan, Kangning Liu, Peter A. Crozier, Carlos Fernandez-Granda

IEEE Signal Process. Mag., March, 2025

Steepest Descent Density Control for Compact 3D Gaussian Splatting.

Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.

Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians.

Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer

Proceedings of the Computer Vision - ECCV 2024, 2024

Taming Mode Collapse in Score Distillation for Text-to-3D Generation.

Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Evaluating Unsupervised Denoising Requires Unsupervised Metrics.

Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda

Proceedings of the International Conference on Machine Learning, 2023

MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition.

Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy.

Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda

IEEE Trans. Computational Imaging, 2022

Deep Probability Estimation.

Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda

Proceedings of the International Conference on Machine Learning, 2022

2021

Deep Probability Estimation.

Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda

CoRR, 2021

Adaptive Denoising via GainTuning.

Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Deep Video Denoising.

Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Perturbation CheckLists for Evaluating NLG Evaluation Metrics.

Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization.

Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda

CoRR, 2020

Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks.

Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Knee Cartilage Segmentation Using Diffusion-Weighted MRI.

Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya

CoRR, 2019

Data-driven Estimation of Sinusoid Frequencies.

Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Blind Nonnegative Source Separation Using Biological Neural Networks.

Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii

Neural Comput., 2017

Data driven coded aperture design for depth recovery.

Prasan A. Shedligeri, Sreyas Mohan, Kaushik Mitra

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017