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02/17/2023
Improving Transformer-based Networks With Locality For Automatic Speaker Verification
Recently, Transformer-based architectures have been explored for speaker...
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11/25/2022
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild
Recent research showed that the dual-pixel sensor has made great progres...
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09/22/2022
The Microsoft System for VoxCeleb Speaker Recognition Challenge 2022
In this report, we describe our submitted system for track 2 of the VoxC...
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01/19/2022
FRA-LSTM: A Vessel Trajectory Prediction Method Based on Fusion of the Forward and Reverse Sub-Network
In order to improve the vessel's capacity and ensure maritime traffic sa...
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08/19/2021
Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages
There are numerous types of programming languages developed in the last ...
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07/07/2021
Distributed adaptive algorithm based on the asymmetric cost of error functions
In this paper, a family of novel diffusion adaptive estimation algorithm...
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10/22/2020
Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020
This paper describes the Microsoft speaker diarization system for monaur...
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09/05/2020
Reverse-engineering Bar Charts Using Neural Networks
Reverse-engineering bar charts extracts textual and numeric information ...
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07/06/2020
ResNeXt and Res2Net Structure for Speaker Verification
ResNet-based architecture has been widely adopted as the speaker embeddi...
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03/17/2020
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks
Materials representation plays a key role in machine learning based pred...
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03/11/2020
Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction
Machine learning (ML) methods have gained increasing popularity in explo...
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03/03/2020
Impact of JD Bernal Thoughts in the Science of Science upon China: Implications for Quantitative Studies of Science Today
John Desmond Bernal (1901-1970) was one of the most eminent scientists i...
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02/26/2020
Machine Learning based prediction of noncentrosymmetric crystal materials
Noncentrosymmetric materials play a critical role in many important appl...
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12/10/2019
Advances in Online Audio-Visual Meeting Transcription
This paper describes a system that generates speaker-annotated transcrip...
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11/12/2019
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
A major challenge in materials design is how to efficiently search the v...
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10/26/2019
Cross-Channel Intragroup Sparsity Neural Network
Modern deep neural network models generally build upon heavy over-parame...
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08/26/2019
Non-local Recurrent Neural Memory for Supervised Sequence Modeling
Typical methods for supervised sequence modeling are built upon the recu...
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06/25/2019
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching
Deep neural networks have shown excellent performance in stereo matching...
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04/29/2019
Adversarial Speaker Verification
The use of deep networks to extract embeddings for speaker recognition h...
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04/28/2019
Conditional Teacher-Student Learning
The teacher-student (T/S) learning has been shown to be effective for a ...
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02/21/2019
GSLAM: A General SLAM Framework and Benchmark
SLAM technology has recently seen many successes and attracted the atten...
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02/21/2019
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset
State-of-the-art face recognition algorithms are able to achieve good pe...
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01/04/2019
Speaker Adaptation for End-to-End CTC Models
We propose two approaches for speaker adaptation in end-to-end (E2E) aut...
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04/02/2018
Speaker-Invariant Training via Adversarial Learning
We propose a novel adversarial multi-task learning scheme, aiming at act...
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03/26/2018
Cascaded multi-scale and multi-dimension convolutional neural network for stereo matching
Convolutional neural networks(CNN) have been shown to perform better tha...
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01/18/2018
Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network
Single Shot MultiBox Detector (SSD) is one of the fastest algorithms in ...
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01/05/2018
Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion
The split control and user plane is key to the future heterogeneous cell...
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08/02/2017
Kernalised Multi-resolution Convnet for Visual Tracking
Visual tracking is intrinsically a temporal problem. Discriminative Corr...
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01/03/2017
End-to-End Attention based Text-Dependent Speaker Verification
A new type of End-to-End system for text-dependent speaker verification ...
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11/28/2016
Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization
The omnipresence of deep learning architectures such as deep convolution...
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04/11/2016