94 citations · 241 across the 17 of their papers we have counts for
17 papers
FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge
Kahim Wong, Jicheng Zhou, Kemou Li +3
The proliferation of AI-generated content brings significant concerns on the forensic and security issues such as source tracing, copyright protection, etc, highlighting the need f…
Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning
Yuanman Li, Yingjie He, Changsheng Chen +4
Recent advances in deep learning algorithms have shown impressive progress in image copy-move forgery detection (CMFD). However, these algorithms lack generalizability in practical…
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu +3
Hyperspectral images (HSIs) often suffer from noise arising from both intra-imaging mechanisms and environmental factors. Leveraging domain knowledge specific to HSIs, such as glob…
Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos
Rongqin Liang, Yuanman Li, Jiantao Zhou +1
Traffic anomaly detection (TAD) in driving videos is critical for ensuring the safety of autonomous driving and advanced driver assistance systems. Previous single-stage TAD method…
Generating Robust Adversarial Examples against Online Social Networks (OSNs)
Jun Liu, Jiantao Zhou, Haiwei Wu +2
Online Social Networks (OSNs) have blossomed into prevailing transmission channels for images in the modern era. Adversarial examples (AEs) deliberately designed to mislead deep ne…
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples
Jun Liu, Jiantao Zhou, Jinyu Tian +1
With the increasing prevalence of cloud computing platforms, ensuring data privacy during the cloud-based image related services such as classification has become crucial. In this…
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction
Rongqin Liang, Yuanman Li, Jiantao Zhou +1
The pedestrian trajectory prediction task is an essential component of intelligent systems. Its applications include but are not limited to autonomous driving, robot navigation, an…
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
Jinhui Hou, Zhiyu Zhu, Junhui Hou +3
In this paper, we investigate the problem of hyperspectral (HS) image spatial super-resolution via deep learning. Particularly, we focus on how to embed the high-dimensional spatia…
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing
Zhiyuan Zha, Bihan Wen, Xin Yuan +3
The compressive sensing (CS) scheme exploits much fewer measurements than suggested by the Nyquist-Shannon sampling theorem to accurately reconstruct images, which has attracted co…
A Principled Design of Image Representation: Towards Forensic Tasks
Shuren Qi, Yushu Zhang, Chao Wang +2
Image forensics is a rising topic as the trustworthy multimedia content is critical for modern society. Like other vision-related applications, forensic analysis relies heavily on…
A Perceptual Distortion Reduction Framework: Towards Generating Adversarial Examples with High Perceptual Quality and Attack Success Rate
Ruijie Yang, Yunhong Wang, Ruikui Wang +1
Most of the adversarial attack methods suffer from large perceptual distortions such as visible artifacts, when the attack strength is relatively high. These perceptual distortions…
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising
Fengchao Xiong, Shuyin Tao, Jun Zhou +3
Deep learning (DL) based hyperspectral images (HSIs) denoising approaches directly learn the nonlinear mapping between observed noisy images and underlying clean images. They norma…
Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
Haiwei Wu, Jiantao Zhou, Yuanman Li
Deep learning (DL) has demonstrated its powerful capabilities in the field of image inpainting. The DL-based image inpainting approaches can produce visually plausible results, but…
Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction
Haiwei Wu, Jiantao Zhou
Many practical applications, e.g., content based image retrieval and object recognition, heavily rely on the local features extracted from the query image. As these local features…
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
Zhiyu Zhu, Junhui Hou, Jie Chen +2
This paper explores the problem of hyperspectral image (HSI) super-resolution that merges a low resolution HSI (LR-HSI) and a high resolution multispectral image (HR-MSI). The cros…
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration
Zhiyuan Zha, Xin Yuan, Bihan Wen +3
In this paper, we propose a novel approach to the rank minimization problem, termed rank residual constraint (RRC) model. Different from existing low-rank based approaches, such as…
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization
Zhiyuan Zha, Xin Yuan, Bihan Wen +3
Sparse coding has achieved a great success in various image processing tasks. However, a benchmark to measure the sparsity of image patch/group is missing since sparse coding is es…