research
∙
06/02/2023
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
This paper presents PolyDiffuse, a novel structured reconstruction algor...
share
research
∙
09/01/2022
Continuous-time Particle Filtering for Latent Stochastic Differential Equations
Particle filtering is a standard Monte-Carlo approach for a wide range o...
research
∙
06/29/2021
Continuous Latent Process Flows
Partial observations of continuous time-series dynamics at arbitrary tim...
research
∙
04/24/2021
Adaptive Appearance Rendering
We propose an approach to generate images of people given a desired appe...
research
∙
02/24/2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Normalizing flows transform a simple base distribution into a complex ta...
research
∙
02/24/2020
Variational Hyper RNN for Sequence Modeling
In this work, we propose a novel probabilistic sequence model that excel...
research
∙
10/18/2019
Point Process Flows
Event sequences can be modeled by temporal point processes (TPPs) to cap...
research
∙
10/11/2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
Deep Neural Networks (DNNs) have been widely applied in various recognit...
research
∙
01/18/2018
Sparsely Connected Convolutional Networks
Residual learning with skip connections permits training ultra-deep neur...
research
∙
12/05/2017
