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11/22/2022
Dehazed Image Quality Evaluation: From Partial Discrepancy to Blind Perception
Image dehazing aims to restore spatial details from hazy images. There h...
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10/09/2022
HVS Revisited: A Comprehensive Video Quality Assessment Framework
Video quality is a primary concern for video service providers. In recen...
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07/25/2022
Seeking Subjectivity in Visual Emotion Distribution Learning
Visual Emotion Analysis (VEA), which aims to predict people's emotions t...
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03/31/2022
Personalized Image Aesthetics Assessment with Rich Attributes
Personalized image aesthetics assessment (PIAA) is challenging due to it...
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12/15/2021
Robust Depth Completion with Uncertainty-Driven Loss Functions
Recovering a dense depth image from sparse LiDAR scans is a challenging ...
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10/24/2021
SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network
Visual Emotion Analysis (VEA) aims at finding out how people feel emotio...
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08/22/2021
StarVQA: Space-Time Attention for Video Quality Assessment
The attention mechanism is blooming in computer vision nowadays. However...
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06/23/2021
A Circular-Structured Representation for Visual Emotion Distribution Learning
Visual Emotion Analysis (VEA) has attracted increasing attention recentl...
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04/06/2021
Searching Efficient Model-guided Deep Network for Image Denoising
Neural architecture search (NAS) has recently reshaped our understanding...
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01/29/2021
A new communication paradigm: from bit accuracy to semantic fidelity
Wireless communication has achieved great success in the past several de...
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09/28/2020
Cuid: A new study of perceived image quality and its subjective assessment
Research on image quality assessment (IQA) remains limited mainly due to...
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09/14/2020
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network
Deep neural networks (DNNs) based methods have achieved great success in...
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04/11/2020
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
Recently, increasing interest has been drawn in exploiting deep convolut...
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09/11/2019
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression
Existing methods on visual emotion analysis mainly focus on coarse-grain...
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06/02/2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Pedestrian attribute recognition has received increasing attention due t...
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05/07/2019
Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval
Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-mod...
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08/13/2017
