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01/17/2022
Using machine learning to parametrize postmerger signals from binary neutron stars
There is growing interest in the detection and characterization of gravi...
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11/19/2021
Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
We study joint video and language (VL) pre-training to enable cross-moda...
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11/05/2021
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
We present a new perspective of achieving image synthesis by viewing thi...
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09/06/2021
Learning Fine-Grained Motion Embedding for Landscape Animation
In this paper we focus on landscape animation, which aims to generate ti...
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08/18/2021
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
An important scenario for image quality assessment (IQA) is to evaluate ...
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08/10/2021
Domain-Aware Universal Style Transfer
Style transfer aims to reproduce content images with the styles from ref...
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11/25/2020
Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression
In rate-distortion optimization, the encoder settings are determined by ...
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08/07/2020
Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity
The screen content images (SCIs) usually comprise various content types ...
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06/07/2020
Learning Texture Transformer Network for Image Super-Resolution
We study on image super-resolution (SR), which aims to recover realistic...
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04/01/2020
Application of Structural Similarity Analysis of Visually Salient Areas and Hierarchical Clustering in the Screening of Similar Wireless Capsule Endoscopic Images
Small intestinal capsule endoscopy is the mainstream method for inspecti...
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03/06/2018
Personalized Attention-Aware Exposure Control Using Reinforcement Learning
We propose a reinforcement learning approach for real-time exposure cont...
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10/06/2015