Yunpeng Bai | DeepAI

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Dong Wang
238 publications
Yu Liu
160 publications
Yong Zhang
127 publications
Chen Zhang
118 publications
Jue Wang
107 publications
Ying Shan
106 publications
Chao Dong
90 publications
Zhi Wang
72 publications
Ying Li
70 publications
Baoyuan Wu
67 publications
Chen gong
62 publications

∙ 07/07/2023

NOFA: NeRF-based One-shot Facial Avatar Reconstruction

3D facial avatar reconstruction has been a significant research topic in...

0 Wangbo Yu, et al. ∙

∙ 06/29/2023

DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

This paper introduces DreamDiffusion, a novel method for generating high...

0 Yunpeng Bai, et al. ∙

∙ 06/03/2023

Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit

In recent years, medical information technology has made it possible for...

0 Weizhi Nie, et al. ∙

∙ 06/02/2023

Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance

The chest X-ray is often utilized for diagnosing common thoracic disease...

0 Weizhi Nie, et al. ∙

∙ 05/20/2023

Chest X-ray Image Classification: A Causal Perspective

The chest X-ray (CXR) is one of the most common and easy-to-get medical ...

0 Weizhi Nie, et al. ∙

∙ 05/20/2023

Instrumental Variable Learning for Chest X-ray Classification

The chest X-ray (CXR) is commonly employed to diagnose thoracic illnesse...

0 Weizhi Nie, et al. ∙

∙ 02/28/2023

TextIR: A Simple Framework for Text-based Editable Image Restoration

Most existing image restoration methods use neural networks to learn str...

0 Yunpeng Bai, et al. ∙

∙ 02/14/2023

Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization

Mixed-precision quantization (MPQ) suffers from time-consuming policy se...

0 Chen Tang, et al. ∙

∙ 01/26/2023

ITstyler: Image-optimized Text-based Style Transfer

Text-based style transfer is a newly-emerging research topic that uses t...

0 Yunpeng Bai, et al. ∙

∙ 01/25/2023

Towards Arbitrary Text-driven Image Manipulation via Space Alignment

The recent GAN inversion methods have been able to successfully invert t...

0 Yunpeng Bai, et al. ∙

∙ 11/28/2022

High-fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors

High-fidelity facial avatar reconstruction from a monocular video is a s...

0 Yunpeng Bai, et al. ∙

∙ 08/07/2022

PS-NeRV: Patch-wise Stylized Neural Representations for Videos

We study how to represent a video with implicit neural representations (...

0 Yunpeng Bai, et al. ∙

∙ 05/24/2022

Improving the Latent Space of Image Style Transfer

Existing neural style transfer researches have studied to match statisti...

0 Yunpeng Bai, et al. ∙

∙ 04/20/2022

Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning

Recently, model-based agents have achieved better performance than model...

0 Zhiwei Xu, et al. ∙

∙ 03/07/2022

Efficient Cooperation Strategy Generation in Multi-Agent Video Games via Hypergraph Neural Network

The performance of deep reinforcement learning (DRL) in single-agent vid...

0 Bin Zhang, et al. ∙

∙ 12/09/2021

Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning

Cooperation between agents in a multi-agent system (MAS) has become a ho...

0 Yunpeng Bai, et al. ∙

∙ 12/02/2021

Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization

Exemplar-based colorization approaches rely on reference image to provid...

0 Yunpeng Bai, et al. ∙

∙ 10/14/2021

HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism

Multi-agent reinforcement learning often suffers from the exponentially ...

0 Zhiwei Xu, et al. ∙

∙ 09/24/2021

Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework

The framework of deep reinforcement learning (DRL) provides a powerful a...

0 Chen gong, et al. ∙

∙ 06/22/2021

MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning

In the real world, many tasks require multiple agents to cooperate with ...

0 Zhiwei Xu, et al. ∙

∙ 05/13/2021

SIDE: I Infer the State I Want to Learn

As one of the solutions to the Dec-POMDP problem, the value decompositio...

0 Zhiwei Xu, et al. ∙

∙ 04/08/2021

Learning to Coordinate via Multiple Graph Neural Networks

The collaboration between agents has gradually become an important topic...

0 Zhiwei Xu, et al. ∙

∙ 02/06/2021

CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction

Extracting variation and spatiotemporal features via limited frames rema...

0 Zenghao Chai, et al. ∙

∙ 01/12/2021

3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification

Hyperspectral images involve abundant spectral and spatial information, ...

11 Haokui Zhang, et al. ∙

∙ 08/04/2020

Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network

In recent years, deep convolutional neural networks (CNNs) have shown im...

0 Yenan Jiang, et al. ∙

∙ 07/24/2020

Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network

Ship detection has been an active and vital topic in the field of remote...

0 Lingyi Liu, et al. ∙

∙ 07/20/2020

Multispectral Pan-sharpening via Dual-Channel Convolutional Network with Convolutional LSTM Based Hierarchical Spatial-Spectral Feature Fusion

Multispectral pan-sharpening aims at producing a high resolution (HR) mu...

0 Dong Wang, et al. ∙

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