Wenbo Hu | DeepAI

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Lei Zhang
366 publications
Lei Li
255 publications
Jun Zhu
239 publications
Bo Zhang
226 publications
Ling Shao
203 publications
Qiang Liu
190 publications
Xiao Liu
179 publications
Xin Yang
157 publications
Hang Su
109 publications
Shijian Lu
105 publications
Jiaya Jia
104 publications

∙ 08/24/2023

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning

Vision-language pre-training models (VLP) are vulnerable, especially to ...

0 Youze Wang, et al. ∙

∙ 08/19/2023

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions

Vision Language Models (VLMs), which extend Large Language Models (LLM) ...

0 Wenbo Hu, et al. ∙

∙ 07/21/2023

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields

Despite the tremendous progress in neural radiance fields (NeRF), we sti...

0 Wenbo Hu, et al. ∙

∙ 05/30/2023

Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting

Long-term time series forecasting (LTSF) is a crucial aspect of modern s...

0 Jiaxin Gao, et al. ∙

∙ 03/23/2023

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation

In recommendation systems, a large portion of the ratings are missing du...

0 Wenbo Hu, et al. ∙

∙ 10/05/2022

TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning

Electrical energy is essential in today's society. Accurate electrical l...

0 Jiaxin Gao, et al. ∙

∙ 01/29/2022

Scale-arbitrary Invertible Image Downscaling

Downscaling is indispensable when distributing high-resolution (HR) imag...

0 Jinbo Xing, et al. ∙

∙ 07/16/2021

Conditional Directed Graph Convolution for 3D Human Pose Estimation

Graph convolutional networks have significantly improved 3D human pose e...

0 Wenbo Hu, et al. ∙

∙ 06/24/2021

Sparse Needlets for Lighting Estimation with Spherical Transport Loss

Accurate lighting estimation is challenging yet critical to many compute...

1 Fangneng Zhan, et al. ∙

∙ 06/02/2021

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

Partial differential equations (PDEs) fitting scientific data can repres...

18 Yingtao Luo, et al. ∙

∙ 05/18/2021

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

In real-world maintenance applications, deep generative models have show...

0 Wenkai Li, et al. ∙

∙ 03/28/2021

Accurate and Reliable Forecasting using Stochastic Differential Equations

It is critical yet challenging for deep learning models to properly char...

0 Peng Cui, et al. ∙

∙ 03/26/2021

Bidirectional Projection Network for Cross Dimension Scene Understanding

2D image representations are in regular grids and can be processed effic...

0 Wenbo Hu, et al. ∙

∙ 12/16/2020

Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting

Time series forecasting is an important yet challenging task. Though dee...

0 Qingyi Pan, et al. ∙

∙ 09/03/2020

Mononizing Binocular Videos

This paper presents the idea ofmono-nizingbinocular videos and a frame-w...

0 Wenbo Hu, et al. ∙

∙ 06/18/2020

Calibrated Reliable Regression using Maximum Mean Discrepancy

Accurate quantification of uncertainty is crucial for real-world applica...

0 Peng Cui, et al. ∙

∙ 06/14/2020

Dynamic Window-level Granger Causality of Multi-channel Time Series

Granger causality method analyzes the time series causalities without bu...

0 Zhiheng Zhang, et al. ∙

∙ 05/10/2019

DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering

In this paper, we present DEMC, a deep Dual-Encoder network to remove Mo...

0 Xin Yang, et al. ∙

∙ 07/01/2017

SAM: Semantic Attribute Modulation for Language Modeling and Style Variation

This paper presents a Semantic Attribute Modulation (SAM) for language m...

0 Wenbo Hu, et al. ∙

∙ 04/27/2015

Fast Sampling for Bayesian Max-Margin Models

Bayesian max-margin models have shown superiority in various practical a...

0 Wenbo Hu, et al. ∙

∙ 11/24/2014

Big Learning with Bayesian Methods

Explosive growth in data and availability of cheap computing resources h...

0 Jun Zhu, et al. ∙

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