46 Result(s)
within
English
Artificial Intelligence
Image Processing and Computer Vision
**aochen **
Conference Paper
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Chapter and Conference Paper
End-to-End Streaming Customizable Keyword Spotting Based on Text-Adaptive Neural Search
Streaming keyword spotting (KWS) is an important technique for voice assistant wake-up. While KWS with a preset fixed keyword has been well studied, test-time customizable keyword spotting in streaming mode re...
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Chapter and Conference Paper
3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video
Real-time video over the Internet suffers from packet loss and low network bandwidth. The receiving side may receive down-sampled video with damaged frames. In this work, we are motivated to enhance the qualit...
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Chapter and Conference Paper
Preliminary Experiment for Measuring the Anxiety Level Using Heart Rate Variability
Anxiety is one of the most significant health issues. Generally, there are four levels of anxiety: mild anxiety, moderate anxiety, severe anxiety, and panic level anxiety
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Chapter and Conference Paper
Semantic Enhancement Framework for Robust Speech Recognition
Auto speech recognition (ASR) has been widely used in dialogue systems of various domains, performing as a crucial part of technology. Since the output of the ASR system will provide input to the subsequent sy...
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Chapter and Conference Paper
VERTEX: VEhicle Reconstruction and TEXture Estimation from a Single Image Using Deep Implicit Semantic Template Map**
We introduce VERTEX, an effective solution to recovering the 3D shape and texture of vehicles from uncalibrated monocular inputs under real-world street environments. To fully utilize the semantic prior of veh...
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Chapter and Conference Paper
A Deep Attention Transformer Network for Pain Estimation with Facial Expression Video
Since pain often causes deformations in the facial structure, analysis of facial expressions has received considerable attention for automatic pain estimation in recent years. This study proposes a deep attent...
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Chapter and Conference Paper
Integrating Task Information into Few-Shot Classifier by Channel Attention
It has been increasingly recognized that meta-learning-based approaches provide a promising way to handle challenges to few-shot learning. In this paper, we incorporate the channel attention in the main framew...
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Chapter and Conference Paper
Stacked Sparse Autoencoder for Audio Object Coding
Compared with channel-based audio coding, the object-based audio coding has a definite advantage in meeting the user’s demands of personalized control. However, in the conventional Spatial Audio Object Coding ...
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Chapter and Conference Paper
A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network
Determining drug-target interactions (DTIs) is an important task in drug discovery and drug relocalization. Currently, different models have been proposed to predict the potential interactions between drugs an...
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Chapter and Conference Paper
EMRM: Enhanced Multi-source Review-Based Model for Rating Prediction
Rating prediction, whose goal is to predict user preference for unconsumed items, has become one of the core tasks in recommendation systems. Recently, many deep learning-based methods have been applied to the...
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Chapter and Conference Paper
Multi-step Coding Structure of Spatial Audio Object Coding
The spatial audio object coding (SAOC) is an effective meth-od which compresses multiple audio objects and provides flexibility for personalized rendering in interactive services. It divides each frame signal ...
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Chapter and Conference Paper
Imputation of Incomplete Data Based on Attribute Cross Fitting Model and Iterative Missing Value Variables
The problem of missing values is often encountered in tasks such as machine learning, and imputation of missing values has become an important research content in incomplete data analysis. In this paper, we p...
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Chapter and Conference Paper
Perceptual Localization of Virtual Sound Source Based on Loudspeaker Triplet
When using a loudspeaker triplet for virtual sound localization, the traditional conversion method will result in inaccurate localization. In this paper, we constructed a perceptual localization distortion mod...
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Chapter and Conference Paper
HMM-Based Person Re-identification in Large-Scale Open Scenario
This paper aims to tackle person re-identification (person re-ID) in large-scale open scenario, which differs from the conventional person re-ID tasks but is significant for some real suspect investigation ca...
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Chapter and Conference Paper
HRTF Representation with Convolutional Auto-encoder
The head-related transfer function (HRTF) can be considered as some kind of filter that describes how a sound from an arbitrary spatial direction transfers to the listener’s eardrums. HRTF can be used to synth...
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Chapter and Conference Paper
A Novel Ensemble Approach for Click-Through Rate Prediction Based on Factorization Machines and Gradient Boosting Decision Trees
Click-Through Rate (CTR) prediction is a significant technique in the field of computational advertising, its accuracy directly affects companies profits and user experience. Achieving great ability of general...
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Chapter and Conference Paper
Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values
The missing value is a common phenomenon in real-world datasets, which makes the analysis of incomplete data become an active research area. In this paper, a correlation-enhanced auto-associative neural networ...
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Chapter and Conference Paper
Spectral Tilt Estimation for Speech Intelligibility Enhancement Using RNN Based on All-Pole Model
Speech intelligibility enhancement is extremely meaningful for successful speech communication in noisy environments. Several methods based on Lombard effect are used to increase intelligibility. In those meth...
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Chapter and Conference Paper
Cervical Nuclei Segmentation in Whole Slide Histopathology Images Using Convolution Neural Network
Pathologists generally diagnose whether or not cervical cancer cells have the potential to spread to other organs and assess the malignancy of cancer through whole slide histopathology images using virtual mic...
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Chapter and Conference Paper
Image Stitching Based on Discrete Wavelet Transform and Slope Fusion
The fusion algorithm of traditional image stitching does not fully consider the differences of the clarity of the two images, and the conventional Discrete Wavelet Transform algorithm would blur the image whe...
