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07/31/2023
High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
Due to limited camera capacities, digital images usually have a narrower...
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07/20/2023
Lighting up NeRF via Unsupervised Decomposition and Enhancement
Neural Radiance Field (NeRF) is a promising approach for synthesizing no...
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05/10/2023
Low-Light Image Enhancement via Structure Modeling and Guidance
This paper proposes a new framework for low-light image enhancement by s...
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05/05/2023
Leaf Cultivar Identification via Prototype-enhanced Learning
Plant leaf identification is crucial for biodiversity protection and con...
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03/29/2023
TriVol: Point Cloud Rendering via Triple Volumes
Existing learning-based methods for point cloud rendering adopt various ...
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03/29/2023
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
Synthesizing photo-realistic images from a point cloud is challenging be...
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12/19/2022
Photo-Realistic Out-of-domain GAN inversion via Invertibility Decomposition
The fidelity of Generative Adversarial Networks (GAN) inversion is imped...
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12/11/2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Deep Neural Networks (DNNs) are vulnerable to the black-box adversarial ...
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08/16/2022
Towards Local Underexposed Photo Enhancement
Inspired by the ability of deep generative models to generate highly rea...
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07/20/2022
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation in semantic segmentation has been raised ...
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07/14/2022
Universal Adaptive Data Augmentation
Existing automatic data augmentation (DA) methods either ignore updating...
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07/05/2022
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
Despite the quality improvement brought by the recent methods, video sup...
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07/04/2022
PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes
To facilitate video denoising research, we construct a compelling datase...
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02/18/2022
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Cross-domain few-shot learning (CDFSL) remains a largely unsolved proble...
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10/15/2021
Adversarial Attacks on ML Defense Models Competition
Due to the vulnerability of deep neural networks (DNNs) to adversarial e...
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08/12/2021
Conditional Temporal Variational AutoEncoder for Action Video Prediction
To synthesize a realistic action sequence based on a single human image,...
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03/14/2020
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation
Adversarial training is promising for improving robustness of deep neura...
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01/04/2019