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09/23/2020
LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning
End-to-end convolution representation learning has been proved to be ver...
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08/06/2020
Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss
Deep neural network with dual-path bi-directional long short-term memory...
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02/13/2020
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training
In this paper, we propose a method called Hodge and Podge for sound even...
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01/23/2020
La Furca: Iterative Context-Aware End-to-End Monaural Speech Separation Based on Dual-Path Deep Parallel Inter-Intra Bi-LSTM with Attention
Deep neural network with dual-path bi-directional long short-term memory...
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07/17/2019
HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods
In this paper, we present a method called HODGEPODGE[1] for large-scale ...
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06/30/2019
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks
Training convolutional neural networks for image classification tasks us...
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02/12/2019
FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks
Deep dilated temporal convolutional networks (TCN) have been proved to b...
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02/02/2019
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation
Deep gated convolutional networks have been proved to be very effective ...
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02/02/2019
Is CQT more suitable for monaural speech separation than STFT? an empirical study
Short-time Fourier transform (STFT) is used as the front end of many pop...
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12/05/2018
Learning to generate filters for convolutional neural networks
Conventionally, convolutional neural networks (CNNs) process different i...
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11/27/2018
Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance
Softmax activation is commonly used to output the probability distributi...
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11/27/2018
Generating Attention from Classifier Activations for Fine-grained Recognition
Recent advances in fine-grained recognition utilize attention maps to lo...
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11/17/2017
A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification
J-vector has been proved to be very effective in text-dependent speaker ...
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12/16/2016
Learning Residual Images for Face Attribute Manipulation
Face attributes are interesting due to their detailed description of hum...
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08/22/2013