Search Results for author: WenBo Hu

Found 11 papers, 3 papers with code

Conditional Directed Graph Convolution for 3D Human Pose Estimation

no code implementations16 Jul 2021 WenBo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, Tien-Tsin Wong

Based on this representation, we further propose a spatial-temporal conditional directed graph convolution to leverage varying non-local dependence for different poses by conditioning the graph topology on input poses.

3D Human Pose Estimation

Sparse Needlets for Lighting Estimation with Spherical Transport Loss

no code implementations ICCV 2021 Fangneng Zhan, Changgong Zhang, WenBo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao

Accurate lighting estimation is challenging yet critical to many computer vision and computer graphics tasks such as high-dynamic-range (HDR) relighting.

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients

no code implementations2 Jun 2021 Yingtao Luo, Qiang Liu, Yuntian Chen, WenBo Hu, Jun Zhu

Previous algorithms can discover some simple instances of PDEs-VC but fail in the discovery of PDEs with coefficients of higher complexity, as a result of coefficient estimation inaccuracy.

Density Estimation

Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection

no code implementations18 May 2021 Wenkai Li, WenBo Hu, Ning Chen, Cheng Feng

Moreover, with a graph learning module, our model learns a sparse adjacency matrix to explicitly capture the stable interrelation structure information among multiple time series data channels for interpretable reconstruction of series patterns.

Anomaly Detection Graph Learning +1

Accurate and Reliable Forecasting using Stochastic Differential Equations

no code implementations28 Mar 2021 Peng Cui, Zhijie Deng, WenBo Hu, Jun Zhu

It is critical yet challenging for deep learning models to properly characterize uncertainty that is pervasive in real-world environments.

Prediction Intervals

Bidirectional Projection Network for Cross Dimension Scene Understanding

1 code implementation CVPR 2021 WenBo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien-Tsin Wong

Via the \emph{BPM}, complementary 2D and 3D information can interact with each other in multiple architectural levels, such that advantages in these two visual domains can be combined for better scene recognition.

2D Semantic Segmentation 3D Semantic Segmentation +3

Deep Halftoning With Reversible Binary Pattern

1 code implementation ICCV 2021 Menghan Xia, WenBo Hu, Xueting Liu, Tien-Tsin Wong

Existing halftoning algorithms usually drop colors and fine details when dithering color images with binary dot patterns, which makes it extremely difficult to recover the original information.

Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting

no code implementations16 Dec 2020 Qingyi Pan, WenBo Hu, Jun Zhu

Though deep learning methods have recently been developed to give superior forecasting results, it is crucial to improve the interpretability of time series models.

Data Augmentation Multivariate Time Series Forecasting +1

Mononizing Binocular Videos

1 code implementation3 Sep 2020 Wenbo Hu, Menghan Xia, Chi-Wing Fu, Tien-Tsin Wong

This paper presents the idea ofmono-nizingbinocular videos and a frame-work to effectively realize it.

Image and Video Processing Graphics

SAM: Semantic Attribute Modulation for Language Modeling and Style Variation

no code implementations1 Jul 2017 Wenbo Hu, Lifeng Hua, Lei LI, Hang Su, Tian Wang, Ning Chen, Bo Zhang

This paper presents a Semantic Attribute Modulation (SAM) for language modeling and style variation.

Language Modelling

Fast Sampling for Bayesian Max-Margin Models

no code implementations27 Apr 2015 Wenbo Hu, Jun Zhu, Bo Zhang

Bayesian max-margin models have shown superiority in various practical applications, such as text categorization, collaborative prediction, social network link prediction and crowdsourcing, and they conjoin the flexibility of Bayesian modeling and predictive strengths of max-margin learning.

Link Prediction Text Categorization

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