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08/07/2023
A Hybrid CNN-Transformer Architecture with Frequency Domain Contrastive Learning for Image Deraining
Image deraining is a challenging task that involves restoring degraded i...
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08/02/2023
A Hyper-pixel-wise Contrastive Learning Augmented Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data
As a harzard disaster, landslide often brings tremendous losses to human...
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05/28/2023
On the Value of Myopic Behavior in Policy Reuse
Leveraging learned strategies in unfamiliar scenarios is fundamental to ...
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03/02/2023
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Recent popular Role-Playing Games (RPGs) saw the great success of charac...
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02/28/2023
Efficient Masked Autoencoders with Self-Consistency
Inspired by masked language modeling (MLM) in natural language processin...
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10/18/2022
Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives
We investigate transductive zero-shot point cloud semantic segmentation ...
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08/30/2022
HPPNet: Modeling the Harmonic Structure and Pitch Invariance in Piano Transcription
While neural network models are making significant progress in piano tra...
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05/30/2022
Benchmarking Unsupervised Anomaly Detection and Localization
Unsupervised anomaly detection and localization, as of one the most prac...
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03/31/2022
MeMOT: Multi-Object Tracking with Memory
We propose an online tracking algorithm that performs the object detecti...
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03/29/2022
SepViT: Separable Vision Transformer
Vision Transformers have witnessed prevailing success in a series of vis...
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03/08/2022
A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds
Recent works on 3D single object tracking treat the tracking as a target...
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03/01/2022
SMTNet: Hierarchical cavitation intensity recognition based on sub-main transfer network
With the rapid development of smart manufacturing, data-driven machinery...
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02/13/2022
DEEPCHORUS: A Hybrid Model of Multi-scale Convolution and Self-attention for Chorus Detection
Chorus detection is a challenging problem in musical signal processing a...
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08/20/2021
ASAT: Adaptively Scaled Adversarial Training in Time Series
Adversarial training is a method for enhancing neural networks to improv...
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03/11/2021
Learning Word-Level Confidence For Subword End-to-End ASR
We study the problem of word-level confidence estimation in subword-base...
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09/09/2020
VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition
We introduce VoiceFilter-Lite, a single-channel source separation model ...
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04/14/2020
Query-Variant Advertisement Text Generation with Association Knowledge
Advertising is an important revenue source for many companies. However, ...
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04/09/2020
Music Artist Classification with WaveNet Classifier for Raw Waveform Audio Data
Models for music artist classification usually were operated in the freq...
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09/07/2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Graph Neural Networks (GNNs) have achieved promising performance on a wi...
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06/04/2019
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Automatic article commenting is helpful in encouraging user engagement a...
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05/15/2019
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
Deep learning based methods have been widely used in industrial recommen...
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12/07/2018
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Federated learning is a distributed form of machine learning where both ...
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03/05/2018
Automatic Transferring between Ancient Chinese and Contemporary Chinese
During the long time of development, Chinese language has evolved a grea...
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02/05/2018
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text
Existing text generation methods tend to produce repeated and "boring" e...
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04/10/2014
