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07/07/2023
NOFA: NeRF-based One-shot Facial Avatar Reconstruction
3D facial avatar reconstruction has been a significant research topic in...
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06/29/2023
DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
This paper introduces DreamDiffusion, a novel method for generating high...
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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...
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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...
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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 ...
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05/20/2023
Instrumental Variable Learning for Chest X-ray Classification
The chest X-ray (CXR) is commonly employed to diagnose thoracic illnesse...
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02/28/2023
TextIR: A Simple Framework for Text-based Editable Image Restoration
Most existing image restoration methods use neural networks to learn str...
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02/14/2023
Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization
Mixed-precision quantization (MPQ) suffers from time-consuming policy se...
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01/26/2023
ITstyler: Image-optimized Text-based Style Transfer
Text-based style transfer is a newly-emerging research topic that uses t...
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01/25/2023
Towards Arbitrary Text-driven Image Manipulation via Space Alignment
The recent GAN inversion methods have been able to successfully invert t...
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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...
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08/07/2022
PS-NeRV: Patch-wise Stylized Neural Representations for Videos
We study how to represent a video with implicit neural representations (...
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05/24/2022
Improving the Latent Space of Image Style Transfer
Existing neural style transfer researches have studied to match statisti...
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04/20/2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Recently, model-based agents have achieved better performance than model...
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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...
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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...
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12/02/2021
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization
Exemplar-based colorization approaches rely on reference image to provid...
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10/14/2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Multi-agent reinforcement learning often suffers from the exponentially ...
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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...
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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 ...
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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...
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04/08/2021
Learning to Coordinate via Multiple Graph Neural Networks
The collaboration between agents has gradually become an important topic...
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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...
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01/12/2021
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification
Hyperspectral images involve abundant spectral and spatial information, ...
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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...
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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...
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07/20/2020