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09/05/2023
Empowering Low-Light Image Enhancer through Customized Learnable Priors
Deep neural networks have achieved remarkable progress in enhancing low-...
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08/30/2023
Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion
The success of deep neural networks for pan-sharpening is commonly in a ...
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08/29/2023
Bearing-based Formation with Disturbance Rejection
This paper considers the problem of the bearing-based formation control ...
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08/27/2023
Situated Natural Language Explanations
Natural language is among the most accessible tools for explaining decis...
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08/26/2023
Generalized Lightness Adaptation with Channel Selective Normalization
Lightness adaptation is vital to the success of image processing to avoi...
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08/23/2023
High-quality Image Dehazing with Diffusion Model
Image dehazing is quite challenging in dense-haze scenarios, where quite...
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08/15/2023
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models
In this paper, we investigate the in-context learning ability of retriev...
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08/13/2023
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
Deep learning methods have shown remarkable performance in image denoisi...
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08/01/2023
Decomposition Ascribed Synergistic Learning for Unified Image Restoration
Learning to restore multiple image degradations within a single model is...
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07/05/2023
Citation: A Key to Building Responsible and Accountable Large Language Models
Large Language Models (LLMs) bring transformative benefits alongside uni...
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05/24/2023
Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation
When answering complex questions, large language models (LLMs) may produ...
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05/22/2023
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
The advancement of large language models (LLMs) brings notable improveme...
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05/19/2023
CCGen: Explainable Complementary Concept Generation in E-Commerce
We propose and study Complementary Concept Generation (CCGen): given a c...
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05/05/2023
Expository Text Generation: Imitate, Retrieve, Paraphrase
Expository documents are vital resources for conveying complex informati...
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04/20/2023
Why Does ChatGPT Fall Short in Answering Questions Faithfully?
Recent advancements in Large Language Models, such as ChatGPT, have demo...
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04/08/2023
Region-Aware Portrait Retouching with Sparse Interactive Guidance
Portrait retouching aims to improve the aesthetic quality of input portr...
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03/29/2023
Random Weights Networks Work as Loss Prior Constraint for Image Restoration
In this paper, orthogonal to the existing data and model studies, we ins...
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03/29/2023
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration
Image and video restoration has achieved a remarkable leap with the adve...
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12/20/2022
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships
In this paper, we propose DimonGen, which aims to generate diverse sente...
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12/20/2022
Towards Reasoning in Large Language Models: A Survey
Reasoning is a fundamental aspect of human intelligence that plays a cru...
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11/20/2022
VER: Learning Natural Language Representations for Verbalizing Entities and Relations
Entities and relationships between entities are vital in the real world....
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10/22/2022
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
Existing dialogue datasets contain lots of noise in their state annotati...
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10/16/2022
Coordinated Topic Modeling
We propose a new problem called coordinated topic modeling that imitates...
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10/11/2022
Deep Fourier Up-Sampling
Existing convolutional neural networks widely adopt spatial down-/up-sam...
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10/11/2022
Can Language Models Be Specific? How?
A good speaker not only needs to be correct, but also has the ability to...
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09/06/2022
CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal
The key to shadow removal is recovering the contents of the shadow regio...
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07/15/2022
Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images
Low-light image enhancement is an inherently subjective process whose ta...
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07/14/2022
Source-Free Domain Adaptation for Real-world Image Dehazing
Deep learning-based source dehazing methods trained on synthetic dataset...
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05/25/2022
Are Large Pre-Trained Language Models Leaking Your Personal Information?
Large Pre-Trained Language Models (PLMs) have facilitated and dominated ...
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05/21/2022
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities
In this paper, we propose Descriptive Knowledge Graph (DKG) - an open an...
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04/20/2022
An unsupervised approach for semantic place annotation of trajectories based on the prior probability
Semantic place annotation can provide individual semantics, which can be...
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03/19/2022
Domain Representative Keywords Selection: A Probabilistic Approach
We propose a probabilistic approach to select a subset of a target domai...
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03/02/2022
CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images
In the context of Earth observation, the detection of changes is perform...
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11/14/2021
CDM: Combining Extraction and Generation for Definition Modeling
Definitions are essential for term understanding. Recently, there is an ...
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08/20/2021
Open Relation Modeling: Learning to Define Relations between Entities
Relations between entities can be represented by different instances, e....
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05/27/2021
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
We propose to measure fine-grained domain relevance - the degree that a ...
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05/11/2021
EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration
Image deblurring has seen a great improvement with the development of de...
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04/24/2021
A Multi-Size Neural Network with Attention Mechanism for Answer Selection
Semantic matching is of central significance to the answer selection tas...
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10/05/2020
Exploring Semantic Capacity of Terms
We introduce and study semantic capacity of terms. For example, the sema...
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07/22/2020
Output Based Adaptive Distributed Output Observer for Leader-follower Multiagent Systems
The adaptive distributed observer approach has been an effective tool fo...
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02/28/2020
A Big Data Enabled Channel Model for 5G Wireless Communication Systems
The standardization process of the fifth generation (5G) wireless commun...
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01/11/2020
A Game Generative Network Framework with its Application to Relationship Inference
A game process is a system where the decisions of one agent can influenc...
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08/24/2019
Hyper-Path-Based Representation Learning for Hyper-Networks
Network representation learning has aroused widespread interests in rece...
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10/03/2018
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
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05/28/2018
ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing
This article proposes an edge content delivery framework (ECD) based on ...
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01/30/2018
Video-based Sign Language Recognition without Temporal Segmentation
Millions of hearing impaired people around the world routinely use some ...
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02/15/2017