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04/11/2023
Financial Time Series Forecasting using CNN and Transformer
Time series forecasting is important across various domains for decision...
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10/15/2022
Self-supervised Graph Learning for Long-tailed Cognitive Diagnosis
Cognitive diagnosis is a fundamental yet critical research task in the f...
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08/08/2022
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training
Non-parallel many-to-many voice conversion remains an interesting but ch...
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10/18/2021
Probabilistic Inference in Planning for Partially Observable Long Horizon Problems
For autonomous service robots to successfully perform long horizon tasks...
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10/05/2021
SeanNet: Semantic Understanding Network for Localization Under Object Dynamics
We aim for domestic robots to operate indoor for long-term service. Unde...
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07/02/2021
Visual Time Series Forecasting: An Image-driven Approach
In this work, we address time-series forecasting as a computer vision ta...
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02/24/2021
Deep Video Prediction for Time Series Forecasting
Time series forecasting is essential for decision making in many domains...
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12/03/2020
MelGlow: Efficient Waveform Generative Network Based on Location-Variable Convolution
Recent neural vocoders usually use a WaveNet-like network to capture the...
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12/03/2020
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis
This paper introduces a graphical representation approach of prosody bou...
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11/18/2020
Robot Task Planning for Low Entropy Belief States
Recent advances in computational perception have significantly improved ...
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11/18/2020
Visual Forecasting of Time Series with Image-to-Image Regression
Time series forecasting is essential for agents to make decisions in man...
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10/16/2020
Manipulation-Oriented Object Perception in Clutter through Affordance Coordinate Frames
In order to enable robust operation in unstructured environments, robots...
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08/13/2020
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit
Recent neural speech synthesis systems have gradually focused on the con...
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06/18/2020
Semantic Linking Maps for Active Visual Object Search
We aim for mobile robots to function in a variety of common human enviro...
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03/04/2020
AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment
Targeting at both high efficiency and performance, we propose AlignTTS t...
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03/04/2020
GraphTTS: graph-to-sequence modelling in neural text-to-speech
This paper leverages the graph-to-sequence method in neural text-to-spee...
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10/04/2019
A Random Interaction Forest for Prioritizing Predictive Biomarkers
Precision medicine is becoming a focus in medical research recently, as ...
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10/26/2018
Semantic Mapping with Simultaneous Object Detection and Localization
We present a filtering-based method for semantic mapping to simultaneous...
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03/03/2016