Search Results for author: Yinglong Wang

Found 16 papers, 4 papers with code

Robust Identity Perceptual Watermark Against Deepfake Face Swapping

no code implementations2 Nov 2023 Tianyi Wang, Mengxiao Huang, Harry Cheng, Bin Ma, Yinglong Wang

Falsification and source tracing are accomplished by justifying the consistency between the content-matched identity perceptual watermark and the recovered robust watermark from the image.

Decoder Face Swapping

Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network

no code implementations ICCV 2023 Yinglong Wang, Zhen Liu, Jianzhuang Liu, Songcen Xu, Shuaicheng Liu

We propose to integrate the effectiveness of gamma correction with the strong modelling capacities of deep networks, which enables the correction factor gamma to be learned in a coarse to elaborate manner via adaptively perceiving the deviated illumination.

Low-Light Image Enhancement

SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing

no code implementations CVPR 2023 Yinglong Wang, Chao Ma, Jianzhuang Liu

Extensive experiments on seven benchmark datasets verify that proposed SmartAssign explores effective connection between rain and snow, and improves the performances of both deraining and desnowing apparently.

Multi-Task Learning Rain Removal

Deepfake Detection: A Comprehensive Study from the Reliability Perspective

no code implementations20 Nov 2022 Tianyi Wang, Xin Liao, Kam Pui Chow, Xiaodong Lin, Yinglong Wang

In this survey, we provide a thorough review of the existing Deepfake detection studies from the reliability perspective.

DeepFake Detection Face Swapping

Removing Rain Streaks via Task Transfer Learning

no code implementations28 Aug 2022 Yinglong Wang, Chao Ma, Jianzhuang Liu

Inspired by our studies, we propose to remove rain by learning favorable deraining representations from other connected tasks.

Knowledge Distillation Rain Removal +1

Ghost-free High Dynamic Range Imaging with Context-aware Transformer

3 code implementations10 Aug 2022 Zhen Liu, Yinglong Wang, Bing Zeng, Shuaicheng Liu

High dynamic range (HDR) deghosting algorithms aim to generate ghost-free HDR images with realistic details.

Vocal Bursts Intensity Prediction

Multi-Decoding Deraining Network and Quasi-Sparsity Based Training

no code implementations CVPR 2021 Yinglong Wang, Chao Ma, Bing Zeng

In this work, we aim to exploit the intrinsic priors of rainy images and develop intrinsic loss functions to facilitate training deraining networks, which decompose a rainy image into a rain-free background layer and a rainy layer containing intact rain streaks.

Rain Removal

Rethinking Image Deraining via Rain Streaks and Vapors

1 code implementation ECCV 2020 Yinglong Wang, Yibing Song, Chao Ma, Bing Zeng

Single image deraining regards an input image as a fusion of a background image, a transmission map, rain streaks, and atmosphere light.

Image Generation Image Restoration +1

Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding

no code implementations25 Nov 2019 Yinglong Wang, Chao Ma, Bing Zeng

Different rain models and novel network structures have been proposed to remove rain streaks from single rainy images.

Rain Removal

Gradient Information Guided Deraining with A Novel Network and Adversarial Training

no code implementations9 Oct 2019 Yinglong Wang, Haokui Zhang, Yu Liu, Qinfeng Shi, Bing Zeng

However, the existing methods usually do not have good generalization ability, which leads to the fact that almost all of existing methods have a satisfied performance on removing a specific type of rain streaks, but may have a relatively poor performance on other types of rain streaks.

Rain Removal

User Diverse Preference Modeling by Multimodal Attentive Metric Learning

1 code implementation21 Aug 2019 Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan Kankanhalli

To tackle this problem, in this paper, we propose a novel Multimodal Attentive Metric Learning (MAML) method to model user diverse preferences for various items.

Metric Learning Recommendation Systems

Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes

no code implementations22 Jun 2019 Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad, Chao Ma, Xiaoping Ma, Bing Zeng

Instead of using the estimated atmospheric light directly to learn a network to calculate transmission, we utilize it as ground truth and design a simple but novel triangle-shaped network structure to learn atmospheric light for every rainy image, then fine-tune the network to obtain a better estimation of atmospheric light during the training of transmission network.

Single Image Deraining

An Effective Two-Branch Model-Based Deep Network for Single Image Deraining

no code implementations14 May 2019 Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton Van Den Hengel, Dehua Xie, Bing Zeng

Removing rain effects from an image is of importance for various applications such as autonomous driving, drone piloting, and photo editing.

Autonomous Driving Single Image Deraining

Quantifying and Alleviating the Language Prior Problem in Visual Question Answering

1 code implementation13 May 2019 Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan Kankanhalli

Benefiting from the advancement of computer vision, natural language processing and information retrieval techniques, visual question answering (VQA), which aims to answer questions about an image or a video, has received lots of attentions over the past few years.

Information Retrieval Question Answering +2

Rain Removal By Image Quasi-Sparsity Priors

no code implementations20 Dec 2018 Yinglong Wang, Shuaicheng Liu, Chen Chen, Dehua Xie, Bing Zeng

We present a novel rain removal method in this paper, which consists of two steps, i. e., detection of rain streaks and reconstruction of the rain-removed image.

Rain Removal

Removing rain streaks by a linear model

no code implementations19 Dec 2018 Yinglong Wang, Shuaicheng Liu, Bing Zeng

Removing rain streaks from a single image continues to draw attentions today in outdoor vision systems.

Rain Removal

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