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20172025
most citedHyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning

94 citations · 241 across the 17 of their papers we have counts for

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12 papers · 1 filter

cs.CV2025

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…

cs.CV2024★ 3 cited

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…

cs.CV2024

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…

cs.CV2023★ 2 cited

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…

cs.CV2022★ 37 cited

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…

cs.CV2022★ 27 cited

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…

cs.CV2022★ 29 cited

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…

cs.CV2021★ 1 cited

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…

cs.CV2020★ 7 cited

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…

cs.CV2020★ 6 cited

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…

cs.CV2018★ 3 cited

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…

cs.CV2017★ 4 cited

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…