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08/07/2023
Part-Aware Transformer for Generalizable Person Re-identification
Domain generalization person re-identification (DG-ReID) aims to train a...
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08/04/2023
Generative Modelling of Lévy Area for High Order SDE Simulation
It is well known that, when numerically simulating solutions to SDEs, ac...
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07/28/2023
Minimally-Supervised Speech Synthesis with Conditional Diffusion Model and Language Model: A Comparative Study of Semantic Coding
Recently, there has been a growing interest in text-to-speech (TTS) meth...
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06/01/2023
A Neural RDE-based model for solving path-dependent PDEs
The concept of the path-dependent partial differential equation (PPDE) w...
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05/21/2023
PCF-GAN: generating sequential data via the characteristic function of measures on the path space
Generating high-fidelity time series data using generative adversarial n...
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05/18/2023
NODE-ImgNet: a PDE-informed effective and robust model for image denoising
Inspired by the traditional partial differential equation (PDE) approach...
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01/18/2023
Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction
The goal of Protein Structure Prediction (PSP) problem is to predict a p...
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09/17/2022
Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition
While transformers and their variant conformers show promising performan...
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04/02/2022
Path Development Network with Finite-dimensional Lie Group Representation
The path signature, a mathematically principled and universal feature of...
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12/02/2021
Forex Trading Volatility Prediction using Neural Network Models
In this paper, we investigate the problem of predicting the future volat...
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11/01/2021
Sig-Wasserstein GANs for Time Series Generation
Synthetic data is an emerging technology that can significantly accelera...
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10/25/2021
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition
This paper contributes to the challenge of skeleton-based human action r...
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10/15/2021
Towards fast weak adversarial training to solve high dimensional parabolic partial differential equations using XNODE-WAN
Due to the curse of dimensionality, solving high dimensional parabolic p...
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10/16/2020
An efficient representation of chronological events in medical texts
In this work we addressed the problem of capturing sequential informatio...
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06/09/2020
Conditional Sig-Wasserstein GANs for Time Series Generation
Generative adversarial networks (GANs) have been extremely successful in...
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04/08/2020
Signature features with the visibility transformation
The signature in rough path theory provides a graduated summary of a pat...
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02/02/2020
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention
Three-dimensional late gadolinium enhanced (LGE) cardiac MR (CMR) of lef...
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08/22/2019
Learning stochastic differential equations using RNN with log signature features
This paper contributes to the challenge of learning a function on stream...
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06/12/2018
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation
Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial sca...
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07/13/2017
Leveraging the Path Signature for Skeleton-based Human Action Recognition
Human action recognition in videos is one of the most challenging tasks ...
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10/09/2016
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
Online handwritten Chinese text recognition (OHCTR) is a challenging pro...
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03/17/2016
