Liu Liu
Affiliations:- Fujitsu Research and Development Center, Beijing, China
According to our database1,
Liu Liu
authored at least 20 papers
between 2017 and 2024.
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Bibliography
2024
Self-Checkout Product Detection with Occlusion Layer Prediction and Intersection Weighting.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
2023
Semi-Supervised Contrastive Learning with Soft Mask Attention for Facial Action Unit Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023
CheckSORT: Refined Synthetic Data Combination and Optimized SORT for Automatic Retail Checkout.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2021
CoRR, 2021
2020
CoRR, 2020
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training.
CoRR, 2020
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks.
CoRR, 2019
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation.
CoRR, 2019
CoRR, 2019
Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
End-to-End Monaural Speech Separation with Multi-Scale Dynamic Weighted Gated Dilated Convolutional Pyramid Network.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Furcax: End-to-end Monaural Speech Separation Based on Deep Gated (De)convolutional Neural Networks with Adversarial Example Training.
Proceedings of the IEEE International Conference on Acoustics, 2019
HODGEPODGE: Sound Event Detection Based on Ensemble of Semi-Supervised Learning Methods.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019
2018
A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification.
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018
Latent Factor Analysis of Deep Bottleneck Features for Speaker Verification with Random Digit Strings.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Joint Learning of J-Vector Extractor and Joint Bayesian Model for Text Dependent Speaker Verification.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
2017
Multi-view Probability Linear Discrimination Analysis for Multi-view Vector Based Text Dependent Speaker Verification.
CoRR, 2017
Multi-view (Joint) probability linear discrimination analysis for J-vector based text dependent speaker verification.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017