activity
20172026
most citedDeveloping and Evaluating Deep Neural Network-based Denoising for Nanoparticle TEM Images with Ultra-low Signal-to-Noise

53 citations · 155 across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Atomic Depth Estimation From Noisy Electron Microscopy Data Via Deep Learning

Matan Leibovich, Mai Tan, Ramon Manzorro +4

We present a novel approach for extracting 3D atomic-level information from transmission electron microscopy (TEM) images affected by significant noise. The approach is based on fo…

cs.CV2023★ 1 cited

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

Xinyu Gong, Sreyas Mohan, Naina Dhingra +4

In this paper, we study a novel problem in egocentric action recognition, which we term as "Multimodal Generalization" (MMG). MMG aims to study how systems can generalize when data…

cs.CV2022★ 1 cited

Evaluating Unsupervised Denoising Requires Unsupervised Metrics

Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan +5

Unsupervised denoising is a crucial challenge in real-world imaging applications. Unsupervised deep-learning methods have demonstrated impressive performance on benchmarks based on…

cs.CV2021★ 10 cited

Adaptive Denoising via GainTuning

Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro +3

Deep convolutional neural networks (CNNs) for image denoising are usually trained on large datasets. These models achieve the current state of the art, but they have difficulties g…

cs.CV2020★ 4 cited

Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy

Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent +6

Denoising is a fundamental challenge in scientific imaging. Deep convolutional neural networks (CNNs) provide the current state of the art in denoising natural images, where they p…

cs.CV2019★ 1 cited

Knee Cartilage Segmentation Using Diffusion-Weighted MRI

Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku +2

The integrity of articular cartilage is a crucial aspect in the early diagnosis of osteoarthritis (OA). Many novel MRI techniques have the potential to assess compositional changes…

cs.CV2017

Data Driven Coded Aperture Design for Depth Recovery

Prasan A Shedligeri, Sreyas Mohan, Kaushik Mitra

Inserting a patterned occluder at the aperture of a camera lens has been shown to improve the recovery of depth map and all-focus image compared to a fully open aperture. However,…