Sreyas Mohan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Convolutional Neural Networks

Denoising Methods

Probability Estimation

Top Venues

Publications

Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR (2024)
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR (2024)
Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. CVPR (2023)
Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda
Evaluating Unsupervised Denoising Requires Unsupervised Metrics. ICML (2023)
Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. CoRR (2023)
Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda
Evaluating Unsupervised Denoising Requires Unsupervised Metrics. CoRR (2022)
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy. IEEE Trans. Computational Imaging 8 (2022)
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda
Deep Probability Estimation. ICML (2022)
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda
Deep Probability Estimation. CoRR (2021)
Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra
Perturbation CheckLists for Evaluating NLG Evaluation Metrics. EMNLP (1) (2021)
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
Unsupervised Deep Video Denoising. ICCV (2021)
Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra
Perturbation CheckLists for Evaluating NLG Evaluation Metrics. CoRR (2021)
Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda
Adaptive Denoising via GainTuning. CoRR (2021)
Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli
Adaptive Denoising via GainTuning. NeurIPS (2021)
Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. CoRR (2020)
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy. CoRR (2020)
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
Unsupervised Deep Video Denoising. CoRR (2020)
Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. ICLR (2020)
Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda
Data-driven Estimation of Sinusoid Frequencies. NeurIPS (2019)
Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda
Data-driven Estimation of Sinusoid Frequencies. CoRR (2019)
Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
Robust and interpretable blind image denoising via bias-free convolutional neural networks. CoRR (2019)
Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya
Knee Cartilage Segmentation Using Diffusion-Weighted MRI. CoRR (2019)
Prasan A. Shedligeri, Sreyas Mohan, Kaushik Mitra
Data Driven Coded Aperture Design for Depth Recovery. CoRR (2017)
Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii
Blind nonnegative source separation using biological neural networks. CoRR (2017)
Prasan A. Shedligeri, Sreyas Mohan, Kaushik Mitra
Data driven coded aperture design for depth recovery. ICIP (2017)
Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii
Blind Nonnegative Source Separation Using Biological Neural Networks. Neural Comput. 29 (11) (2017)