Sreyas Mohan

36 papers A* 9A 1B 1Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Atomic Depth Estimation From Noisy Electron Microscopy Data Via Deep Learning.
CoRR
Matan Leibovich, Mai Tan, Ramon Manzorro, Adria Marcos-Morales, Sreyas Mohan, Peter A. Crozier, Carlos Fernandez-Granda
2025 J jnl
InteractAvatar: Modeling Hand-Face Interaction in Photorealistic Avatars with Deformable Gaussians.
CoRR
Kefan Chen, Sergiu Oprea, Justin Theiss, Sreyas Mohan, Srinath Sridhar, Aayush Prakash
2025 J jnl
Learn, Denoise, and Discover: A guide to deep denoising with an application to electron microscopy.
IEEE Signal Process. Mag.
Sreyas Mohan, Kangning Liu, Peter A. Crozier, Carlos Fernandez-Granda
2025 J jnl
Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset.
CoRR
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
2025 A* conf
Steepest Descent Density Control for Compact 3D Gaussian Splatting.
CVPR
Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025 J jnl
Steepest Descent Density Control for Compact 3D Gaussian Splatting.
CoRR
Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025 A conf
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.
AISTATS
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024 J jnl
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.
CoRR
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024 A* conf
Taming Mode Collapse in Score Distillation for Text-to-3D Generation.
CVPR
Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024 J jnl
Taming Mode Collapse in Score Distillation for Text-to-3D Generation.
CoRR
Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024 — conf
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians.
ECCV (21)
Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer
2024 J jnl
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians.
CoRR
Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer
2023 A* conf
Evaluating Unsupervised Denoising Requires Unsupervised Metrics.
ICML
Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda
2023 A* conf
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition.
CVPR
Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan
2023 J jnl
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition.
CoRR
Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan
2022 J jnl
Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy.
IEEE Trans. Computational Imaging
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
2022 A* conf
Deep Probability Estimation.
ICML
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda
2022 J jnl
Evaluating Unsupervised Denoising Requires Unsupervised Metrics.
CoRR
Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda
2021 A* conf
Adaptive Denoising via GainTuning.
NeurIPS
Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli
2021 J jnl
Adaptive Denoising via GainTuning.
CoRR
Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda
2021 J jnl
Deep Probability Estimation.
CoRR
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda
2021 — conf
Perturbation CheckLists for Evaluating NLG Evaluation Metrics.
EMNLP (1)
Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra
2021 J jnl
Perturbation CheckLists for Evaluating NLG Evaluation Metrics.
CoRR
Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra
2021 A* conf
Unsupervised Deep Video Denoising.
ICCV
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
2020 J jnl
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization.
CoRR
Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda
2020 J jnl
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy.
CoRR
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
2020 A* conf
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks.
ICLR
Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
2020 J jnl
Unsupervised Deep Video Denoising.
CoRR
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
2019 A* conf
Data-driven Estimation of Sinusoid Frequencies.
NeurIPS
Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda
2019 J jnl
Data-driven Estimation of Sinusoid Frequencies.
CoRR
Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda
2019 J jnl
Knee Cartilage Segmentation Using Diffusion-Weighted MRI.
CoRR
Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya
2019 J jnl
Robust and interpretable blind image denoising via bias-free convolutional neural networks.
CoRR
Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
2017 J jnl
Blind Nonnegative Source Separation Using Biological Neural Networks.
Neural Comput.
Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii
2017 J jnl
Blind nonnegative source separation using biological neural networks.
CoRR
Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii
2017 J jnl
Data Driven Coded Aperture Design for Depth Recovery.
CoRR
Prasan A. Shedligeri, Sreyas Mohan, Kaushik Mitra
2017 B conf
Data driven coded aperture design for depth recovery.
ICIP
Prasan A. Shedligeri, Sreyas Mohan, Kaushik Mitra