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09/21/2023
MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
In this paper, we introduce a new approach for high-quality multi-exposu...
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08/25/2023
FrFT based estimation of linear and nonlinear impairments using Vision Transformer
To comprehensively assess optical fiber communication system conditions,...
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07/31/2023
Scaling Sentence Embeddings with Large Language Models
Large language models (LLMs) have recently garnered significant interest...
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07/10/2023
SAM-IQA: Can Segment Anything Boost Image Quality Assessment?
Image Quality Assessment (IQA) is a challenging task that requires train...
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05/27/2023
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction
Accurate citation count prediction of newly published papers could help ...
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11/20/2022
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs
Heterogeneous graph neural networks (HGNNs) have been widely applied in ...
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10/12/2022
Pruning Pre-trained Language Models Without Fine-Tuning
To overcome the overparameterized problem in Pre-trained Language Models...
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05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
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05/05/2022
Exploiting Global and Local Hierarchies for Hierarchical Text Classification
Hierarchical text classification aims to leverage label hierarchy in mul...
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01/12/2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts
The poor performance of the original BERT for sentence semantic similari...
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10/21/2021
Improving Non-autoregressive Generation with Mixup Training
While pre-trained language models have achieved great success on various...
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07/07/2021
An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report
VM startup time is an essential factor in designing elastic cloud applic...
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05/22/2021
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
In this paper, we present an attention-guided deformable convolutional n...
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01/09/2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
Extreme Multi-label text Classification (XMC) is a task of finding the m...
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11/04/2020