Search Results for author: James Tin-Yau Kwok

Found 12 papers, 7 papers with code

Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation

1 code implementation29 Sep 2024 Xiaofeng Cong, Jing Zhang, Yeying Jin, JunMing Hou, Yu Zhao, Jie Gui, James Tin-Yau Kwok, Yuan Yan Tang

ColorCode offers three key features: 1) color enhancement, producing an enhanced image with a fixed color; 2) color adaptation, enabling controllable adjustments of long-wavelength color components using guidance images; and 3) color interpolation, allowing for the smooth generation of multiple colors through continuous sampling of the color code.

Image Enhancement

Improving Fast Adversarial Training via Self-Knowledge Guidance

no code implementations26 Sep 2024 Chengze Jiang, Junkai Wang, Minjing Dong, Jie Gui, Xinli Shi, Yuan Cao, Yuan Yan Tang, James Tin-Yau Kwok

Based on the analysis, we mainly attribute the observed misalignment and disparity to the imbalanced optimization in FAT, which motivates us to optimize different training data adaptively to enhance robustness.

Adversarial Robustness Attribute

CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition

no code implementations23 Sep 2024 Yifan Wang, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok

BWR-ROIAlign can directly plug into the model to introduce the above features for DCNN-based finger vein recognition systems.

Finger Vein Recognition

No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation

no code implementations31 Mar 2023 Biwei Cao, Lulu Hua, Jiuxin Cao, Jie Gui, Bo Liu, James Tin-Yau Kwok

Different from popular methods which take full advantage of the propagation topology structure, in this paper, we propose a novel framework for fake news detection from perspectives of semantic, emotion and data enhancement, which excavates the emotional evolution patterns of news participants during the propagation process, and a dual deep interaction channel network of semantic and emotion is designed to obtain a more comprehensive and fine-grained news representation with the consideration of comments.

Data Augmentation Fake News Detection

Fooling the Image Dehazing Models by First Order Gradient

1 code implementation30 Mar 2023 Jie Gui, Xiaofeng Cong, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok

In this paper, we focus on designing a group of attack methods based on first order gradient to verify the robustness of the existing dehazing algorithms.

Adversarial Attack Image Dehazing +1

Exploring the Coordination of Frequency and Attention in Masked Image Modeling

1 code implementation28 Nov 2022 Jie Gui, Tuo Chen, Minjing Dong, Zhengqi Liu, Hao Luo, James Tin-Yau Kwok, Yuan Yan Tang

To tackle this issue, we propose the Frequency \& Attention-driven Masking and Throwing Strategy (FAMT), which can extract semantic patches and reduce the number of training patches to boost model performance and training efficiency simultaneously.

Attribute Representation Learning +1

AlignVE: Visual Entailment Recognition Based on Alignment Relations

no code implementations16 Nov 2022 Biwei Cao, Jiuxin Cao, Jie Gui, Jiayun Shen, Bo Liu, Lei He, Yuan Yan Tang, James Tin-Yau Kwok

Such approaches, however, ignore the VE's unique nature of relation inference between the premise and hypothesis.

Question Answering Relation +2

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