Peng Wu

Orcid: 0000-0003-2938-6798

According to our database1, Peng Wu authored at least 44 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement.
CoRR, July, 2025

SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model.
CoRR, April, 2025

AVadCLIP: Audio-Visual Collaboration for Robust Video Anomaly Detection.
CoRR, April, 2025

AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis.
CoRR, March, 2025

From Dynamic to Static: Stepwisely Generate HDR Image for Ghost Removal.
IEEE Trans. Circuits Syst. Video Technol., February, 2025

HVI: A New Color Space for Low-light Image Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FusionNet: Multi-model Linear Fusion Framework for Low-light Image Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
EOGT: Video Anomaly Detection with Enhanced Object Information and Global Temporal Dependency.
ACM Trans. Multim. Comput. Commun. Appl., October, 2024

Fine-Granularity Alignment for Text-Based Person Retrieval Via Semantics-Centric Visual Division.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Human-Centric Behavior Description in Videos: New Benchmark and Model.
IEEE Trans. Multim., 2024

Toward Video Anomaly Retrieval From Video Anomaly Detection: New Benchmarks and Model.
IEEE Trans. Image Process., 2024

A Transformer-based visual object tracker via learning immediate appearance change.
Pattern Recognit., 2024

Deep Learning for Video Anomaly Detection: A Review.
CoRR, 2024

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results.
CoRR, 2024

You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement.
CoRR, 2024

Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024


Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Open-Vocabulary Video Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DiffLight: Integrating Content and Detail for Low-light Image Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Weakly Supervised Audio-Visual Violence Detection.
IEEE Trans. Multim., 2023

Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model.
CoRR, 2023

WSAD-Net: Weakly Supervised Anomaly Detection in Untrimmed Surveillance Videos.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Video Event Restoration Based on Keyframes for Video Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Exploiting foreground and background separation for prohibited item detection in overlapping X-Ray images.
Pattern Recognit., 2022

MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities.
CoRR, 2022

Wind power forecasting based on variational mode decomposition and high-order fuzzy cognitive maps.
Appl. Soft Comput., 2022

Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection.
IEEE Trans. Image Process., 2021

A Multitask Learning-Based Neural Network for Defect Detection on Textured Surfaces Under Weak Supervision.
IEEE Trans. Instrum. Meas., 2021

Bidirectional Retrospective Generation Adversarial Network for Anomaly Detection in Videos.
IEEE Access, 2021

HANet: Hierarchical Alignment Networks for Video-Text Retrieval.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
A Deep One-Class Neural Network for Anomalous Event Detection in Complex Scenes.
IEEE Trans. Neural Networks Learn. Syst., 2020

Evolutionary Network Embedding Preserving Both Local Proximity and Community Structure.
IEEE Trans. Evol. Comput., 2020

Fast sparse coding networks for anomaly detection in videos.
Pattern Recognit., 2020

Not only Look, But Also Listen: Learning Multimodal Violence Detection Under Weak Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

2018
Double δ-LBP: A Novel Feature Extraction Method for Facial Expression Recognition.
Proceedings of the Image and Graphics Technologies and Applications, 2018

Double Complete D-LBP with Extreme Learning Machine Auto-Encoder and Cascade Forest for Facial Expression Analysis.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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