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09/14/2023
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
We introduce OpenIllumination, a real-world dataset containing over 108K...
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07/17/2023
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
Hand trajectory forecasting from egocentric views is crucial for enablin...
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07/08/2023
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
Despite the impressive performance obtained by recent single-image hand ...
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07/02/2023
Graph Neural Network based Log Anomaly Detection and Explanation
Event logs are widely used to record the status of high-tech systems, ma...
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05/30/2023
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
We prove an inverse approximation theorem for the approximation of nonli...
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03/15/2023
Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis
Neural Radiance Fields (NeRF) have led to breakthroughs in the novel vie...
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02/27/2023
A Brief Survey on the Approximation Theory for Sequence Modelling
We survey current developments in the approximation theory of sequence m...
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02/22/2023
Robust and Explainable Contextual Anomaly Detection using Quantile Regression Forests
Traditional anomaly detection methods aim to identify objects that devia...
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02/05/2023
MAC: A unified framework boosting low resource automatic speech recognition
We propose a unified framework for low resource automatic speech recogni...
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10/28/2022
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields
Visually exploring in a real-world 4D spatiotemporal space freely in VR ...
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10/24/2022
10 hours data is all you need
We propose a novel procedure to generate pseudo mandarin speech data nam...
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10/13/2022
A Survey on Explainable Anomaly Detection
In the past two decades, most research on anomaly detection has focused ...
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08/19/2022
Feature Selection for Fault Detection and Prediction based on Event Log Analysis
Event logs are widely used for anomaly detection and prediction in compl...
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04/05/2022
Incremental Unsupervised Feature Selection for Dynamic Incomplete Multi-view Data
Multi-view unsupervised feature selection has been proven to be efficien...
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07/20/2021
Approximation Theory of Convolutional Architectures for Time Series Modelling
We study the approximation properties of convolutional architectures app...
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05/15/2021
NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field
In this paper, we present an efficient and robust deep learning solution...
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04/30/2021
RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream
High-quality 4D reconstruction of human performance with complex interac...
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12/12/2020
PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image
In this paper, a real-time method called PoP-Net is proposed to predict ...
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09/16/2020
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
We study the approximation properties and optimization dynamics of recur...
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09/14/2020
Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms
A simple approach is proposed to obtain complexity controls for neural n...
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07/16/2020
Talking-head Generation with Rhythmic Head Motion
When people deliver a speech, they naturally move heads, and this rhythm...
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04/15/2019
PIV-Based 3D Fluid Flow Reconstruction Using Light Field Camera
Particle Imaging Velocimetry (PIV) estimates the flow of fluid by analyz...
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10/12/2018
4D Human Body Correspondences from Panoramic Depth Maps
The availability of affordable 3D full body reconstruction systems has g...
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01/31/2018
