:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Peng, Xiaoxu, Zhou, Dong, Zhang, Jianwen, Sun, Guanghui, Ngo, Anh Tu, Chattopadhyay, Anupam
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	https://arxiv.org/abs/2602.13293
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Attack and Defense Analysis of Learned Image Compression
by: Zhu, Tianyu, et al.
Published: (2024)

Experimental Evaluation of Security Attacks on Self-Driving Car Platforms
by: Nguyen, Viet K., et al.
Published: (2026)

NiMark: A Non-intrusive Watermarking Framework against Screen-shooting Attacks
by: Wu, Yufeng, et al.
Published: (2026)

DriveNetBench: An Affordable and Configurable Single-Camera Benchmarking System for Autonomous Driving Networks
by: Al-Bustami, Ali, et al.
Published: (2025)

Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer
by: You, Junwei, et al.
Published: (2023)

Versatile Defense Against Adversarial Attacks on Image Recognition
by: Zhang, Haibo, et al.
Published: (2024)

Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges
by: Dong, Junhao, et al.
Published: (2023)

DLADiff: A Dual-Layer Defense Framework against Fine-Tuning and Zero-Shot Customization of Diffusion Models
by: Jia, Jun, et al.
Published: (2025)

Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset
by: Frants, Vladimir, et al.
Published: (2025)

Backdoor Attacks and Defenses on Semantic-Symbol Reconstruction in Semantic Communications
by: Zhou, Yuan, et al.
Published: (2024)

MAD: Meta Adversarial Defense Benchmark
by: Peng, X., et al.
Published: (2023)

Learned Multimodal Compression for Autonomous Driving
by: Hadizadeh, Hadi, et al.
Published: (2024)

SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging
by: Zhao, Yaping, et al.
Published: (2023)

Synthetic Datasets for Autonomous Driving: A Survey
by: Song, Zhihang, et al.
Published: (2023)

Prompt-Guided Prefiltering for VLM Image Compression
by: Azizian, Bardia, et al.
Published: (2026)

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
by: Gushchin, Alexander, et al.
Published: (2024)

Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
by: Luo, Rui, et al.
Published: (2024)

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
by: Liu, Yujia, et al.
Published: (2024)

Learned Primal Dual Splitting for Self-Supervised Noise-Adaptive MRI Reconstruction
by: Janjusevic, Nikola, et al.
Published: (2025)

Downstream Analysis of Foundational Medical Vision Models for Disease Progression
by: Demir, Basar, et al.
Published: (2025)

YOLO11-CR: a Lightweight Convolution-and-Attention Framework for Accurate Fatigue Driving Detection
by: Jin, Zhebin, et al.
Published: (2025)

FEFormer: Frequency-enhanced Vision Transformer for Generic Knowledge Extraction and Adaptive Feature Fusion in Volumetric Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2026)

Self-Supervised Noise Adaptive MRI Denoising via Repetition to Repetition (Rep2Rep) Learning
by: Janjušević, Nikola, et al.
Published: (2025)

Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping
by: Li, Dongyi, et al.
Published: (2024)

A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems
by: Haghighi, Hamed, et al.
Published: (2023)

Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving
by: Shi, Hao, et al.
Published: (2024)

A Training-Free Defense Framework for Robust Learned Image Compression
by: Song, Myungseo, et al.
Published: (2024)

FRAPPE: Full Input, Residual Output Autoencoding with Projection Pursuit Encoder
by: Jacobellis, Dan, et al.
Published: (2026)

Full-reference Video Quality Assessment for User Generated Content Transcoding
by: Qi, Zihao, et al.
Published: (2023)

Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction
by: Xu, Siying, et al.
Published: (2026)

Score-based Self-supervised MRI Denoising
by: Tu, Jiachen, et al.
Published: (2025)

HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans
by: Song, Changwei, et al.
Published: (2024)

Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment
by: Zhou, Tianwei, et al.
Published: (2024)

High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving
by: Contreras, Kebin, et al.
Published: (2025)

Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
by: Shoeb, Youssef, et al.
Published: (2025)

Adaptive-avg-pooling based Attention Vision Transformer for Face Anti-spoofing
by: Yang, Jichen, et al.
Published: (2024)

LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task
by: Le-Duc, Khai, et al.
Published: (2024)

Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks
by: Sornapudi, Sudhir, et al.
Published: (2024)

Challenges in Hyperspectral Imaging for Autonomous Driving: The HSI-Drive Case
by: Basterretxea, Koldo, et al.
Published: (2026)

Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving
by: Gutiérrez-Zaballa, Jon, et al.
Published: (2025)