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06/01/2023
Spreads in Effective Learning Rates: The Perils of Batch Normalization During Early Training
Excursions in gradient magnitude pose a persistent challenge when traini...
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09/14/2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs
Invariance under symmetry is an important problem in machine learning. O...
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01/24/2020
Deep Non-Line-of-Sight Reconstruction
The recent years have seen a surge of interest in methods for imaging be...
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04/03/2019
Progressive Stochastic Binarization of Deep Networks
A plethora of recent research has focused on improving the memory footpr...
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04/30/2018
Investigations on End-to-End Audiovisual Fusion
Audiovisual speech recognition (AVSR) is a method to alleviate the adver...
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08/04/2017
Improving Speaker-Independent Lipreading with Domain-Adversarial Training
We present a Lipreading system, i.e. a speech recognition system using o...
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04/15/2016
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
This paper proposes Markovian Generative Adversarial Networks (MGANs), a...
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01/29/2016
Lipreading with Long Short-Term Memory
Lipreading, i.e. speech recognition from visual-only recordings of a spe...
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01/18/2016
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
This paper studies a combination of generative Markov random field (MRF)...
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11/29/2013
Compact Part-Based Shape Spaces for Dense Correspondences
We consider the problem of establishing dense correspondences within a s...
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08/30/2013
