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05/12/2023
ROI-based Deep Image Compression with Swin Transformers
Encoding the Region Of Interest (ROI) with better quality than the backg...
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03/23/2023
ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty
Clinic testing plays a critical role in containing infectious diseases s...
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06/21/2022
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering
Recently, deep learning-based image compression has made signifcant prog...
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03/27/2022
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
Efficient and effective real-world image super-resolution (Real-ISR) is ...
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03/17/2022
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution
Single image super-resolution (SISR) with generative adversarial network...
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01/07/2022
Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding
Recently, various view synthesis distortion estimation models have been ...
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05/19/2021
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
Existing image-to-image translation (I2IT) methods are either constraine...
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05/19/2021
PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
Different from general photo retouching tasks, portrait photo retouching...
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03/12/2021
Modeling and simulation of nuclear architecture reorganization process using a phase field approach
We develop a special phase field/diffusive interface method to model the...
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03/01/2021
Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing
As an infrastructure for data persistence and analysis, Database Managem...
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02/03/2021
Deep Reinforcement Learning-based Task Offloading in Satellite-Terrestrial Edge Computing Networks
In remote regions (e.g., mountain and desert), cellular networks are usu...
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12/31/2020
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
Recently deep learning-based image compression has shown the potential t...
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12/11/2020
A Multi-task Joint Framework for Real-time Person Search
Person search generally involves three important parts: person detection...
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02/24/2020
Generalized Octave Convolutions for Learned Multi-Frequency Image Compression
Learned image compression has recently shown the potential to outperform...
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01/26/2020
Deep Learning-based Image Compression with Trellis Coded Quantization
Recently many works attempt to develop image compression models based on...
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12/11/2019
Learned Variable-Rate Image Compression with Residual Divisive Normalization
Recently it has been shown that deep learning-based image compression ha...
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07/15/2019
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs
Recently deep learning-based methods have been applied in image compress...
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02/15/2019
Delay Outage Probability of Multi-relay Selection for Mobile Relay Edge Computing Systems
In this paper, we deal with the problem of relay selection in mobile edg...
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01/23/2019
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship
In this paper we propose a unified framework to simultaneously discover ...
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06/30/2018
EnFuzz: From Ensemble Learning to Ensemble Fuzzing
Fuzzing is widely used for software vulnerability detection. There are v...
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06/08/2018
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
Deep learning has revolutionized many computer vision fields in the last...
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06/01/2018
Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation
A semi-recurrent hybrid VAE-GAN model for generating sequential data is ...
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07/09/2017
Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing
In this paper, two local activity-tuned filtering frameworks are propose...
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08/26/2016
