Zero-shot anomaly detection through context-guided prompt learning and attention refinement.
Publications
Selected publications.
This page highlights selected papers grouped by topic. For the complete publication list, please visit my Google Scholar profile.
Featured Papers
Adversarially robust video anomaly detection.
Adaptive contrastive learning across datasets and tasks.
Selected Publications by Topic
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Anomaly Detection & OOD
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection
FrameShield: Adversarially Robust Video Anomaly Detection
Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection
Universal Novelty Detection Through Adaptive Contrastive Learning
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection
Adversarially Learned One-Class Classifier for Novelty Detection
Deep End-to-End One-Class Classifier
Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes
Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes
AI Safety, Security & Robustness
Stealthy Backdoor Attack via Confidence-driven Sampling
Scanning Trojaned Models Using Out-of-Distribution Samples
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
Fuzzy Rule-Based Explainer Systems for Deep Neural Networks
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks
Continual & Self-Supervised Learning
Looking Back on Learned Experiences For Class/Task Incremental Learning
Self-Supervised Representation Learning via Neighborhood-Relational Encoding
Unsupervised Feature Ranking and Selection Based on Autoencoders
3D Vision & Efficient Models
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
STARNet: Spatio-Temporal Aware Recurrent Network for Efficient Video Object Detection on Embedded Devices
MobileDenseNet: A New Approach to Object Detection on Mobile Devices
Biomedical & Applied Vision
Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions
Vision-Based Human Activity Recognition: A Survey