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04/22/2023
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
Denoising diffusion probabilistic models (DDPMs) are a class of powerful...
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03/12/2023
Raising The Limit Of Image Rescaling Using Auxiliary Encoding
Normalizing flow models using invertible neural networks (INN) have been...
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10/22/2022
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model
We propose a simple and novel method for generating 3D human motion from...
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03/29/2022
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to recognize and loc...
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06/28/2021
Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
With rapidly evolving internet technologies and emerging tools, sports r...
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11/22/2019
Estimating knots in bilinear spline growth models with time-invariant covariates in the framework of individual measurement occasions
The linear spline growth model (LSGM) is a popular tool for examining no...
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11/22/2019
Estimating knots in bilinear spline growth mixture models with time-invariant covariates in the framework of individual measurement occasions
The linear spline growth mixture model (LSGMM), which extends the linear...
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04/14/2015
