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05/12/2023
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition
In this paper, we study a novel problem in egocentric action recognition...
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10/11/2022
Evaluating Unsupervised Denoising Requires Unsupervised Metrics
Unsupervised denoising is a crucial challenge in real-world imaging appl...
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09/13/2021
Perturbation CheckLists for Evaluating NLG Evaluation Metrics
Natural Language Generation (NLG) evaluation is a multifaceted task requ...
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07/27/2021
Adaptive Denoising via GainTuning
Deep convolutional neural networks (CNNs) for image denoising are usuall...
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11/30/2020
Unsupervised Deep Video Denoising
Deep convolutional neural networks (CNNs) currently achieve state-of-the...
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10/24/2020
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy
Denoising is a fundamental challenge in scientific imaging. Deep convolu...
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02/10/2020
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization
Extraneous variables are variables that are irrelevant for a certain tas...
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12/04/2019
Knee Cartilage Segmentation Using Diffusion-Weighted MRI
The integrity of articular cartilage is a crucial aspect in the early di...
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06/13/2019
Robust and interpretable blind image denoising via bias-free convolutional neural networks
Deep convolutional networks often append additive constant ("bias") term...
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06/03/2019
Data-driven Estimation of Sinusoid Frequencies
Frequency estimation is a fundamental problem in signal processing, with...
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06/01/2017
Blind nonnegative source separation using biological neural networks
Blind source separation, i.e. extraction of independent sources from a m...
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05/29/2017
