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Sreyas Mohan
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2020 – today
- 2024
- [c11]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CVPR 2024: 9037-9047 - [c10]Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer:
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians. ECCV (21) 2024: 298-314 - [i16]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 abs/2401.00604 (2024) - [i15]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR abs/2401.00909 (2024) - [i14]Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer:
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians. CoRR abs/2409.17917 (2024) - 2023
- [c9]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: 6481-6491 - [c8]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: 23937-23957 - [i13]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 abs/2305.07214 (2023) - 2022
- [j2]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: 585-597 (2022) - [c7]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: 13746-13781 - [i12]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 abs/2210.05553 (2022) - 2021
- [c6]Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra:
Perturbation CheckLists for Evaluating NLG Evaluation Metrics. EMNLP (1) 2021: 7219-7234 - [c5]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: 1739-1748 - [c4]Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli:
Adaptive Denoising via GainTuning. NeurIPS 2021: 23727-23740 - [i11]Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda:
Adaptive Denoising via GainTuning. CoRR abs/2107.12815 (2021) - [i10]Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra:
Perturbation CheckLists for Evaluating NLG Evaluation Metrics. CoRR abs/2109.05771 (2021) - [i9]Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda:
Deep Probability Estimation. CoRR abs/2111.10734 (2021) - 2020
- [c3]Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda:
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. ICLR 2020 - [i8]Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda:
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. CoRR abs/2002.04019 (2020) - [i7]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 abs/2010.12970 (2020) - [i6]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 abs/2011.15045 (2020)
2010 – 2019
- 2019
- [c2]Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda:
Data-driven Estimation of Sinusoid Frequencies. NeurIPS 2019: 5128-5138 - [i5]Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda:
Data-driven Estimation of Sinusoid Frequencies. CoRR abs/1906.00823 (2019) - [i4]Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli
, Carlos Fernandez-Granda:
Robust and interpretable blind image denoising via bias-free convolutional neural networks. CoRR abs/1906.05478 (2019) - [i3]Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya:
Knee Cartilage Segmentation Using Diffusion-Weighted MRI. CoRR abs/1912.01838 (2019) - 2017
- [j1]Cengiz Pehlevan
, Sreyas Mohan, Dmitri B. Chklovskii:
Blind Nonnegative Source Separation Using Biological Neural Networks. Neural Comput. 29(11) (2017) - [c1]Prasan A. Shedligeri
, Sreyas Mohan, Kaushik Mitra
:
Data driven coded aperture design for depth recovery. ICIP 2017: 56-60 - [i2]Prasan A. Shedligeri, Sreyas Mohan, Kaushik Mitra:
Data Driven Coded Aperture Design for Depth Recovery. CoRR abs/1705.10021 (2017) - [i1]Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii:
Blind nonnegative source separation using biological neural networks. CoRR abs/1706.00382 (2017)
Coauthor Index

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