collaborators

7 papers

cs.DS2026

Horospherically convex optimization for fractional subspace packing and its applications

Hiroshi Hirai

In this paper, we address a semi-infinite LP relaxation of the vector-subspace packing problem. This is a higher-dimensional generalization of the fractional linear matroid parity…

cs.CV2026

Towards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets

Peng Wu, Yuting Yan, Guansong Pang +4

Event-based vision, characterized by low redundancy, focus on dynamic motion, and inherent privacy-preserving properties, naturally fits the demands of video anomaly detection (VAD…

cs.CV2025

HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement

Qingsen Yan, Kangbiao Shi, Yixu Feng +4

Low-Light Image Enhancement (LLIE) aims to restore vivid content and details from corrupted low-light images. However, existing standard RGB (sRGB) color space-based LLIE methods o…

cs.CV2025

AVadCLIP: Audio-Visual Collaboration for Robust Video Anomaly Detection

Peng Wu, Wanshun Su, Guansong Pang +4

With the increasing adoption of video anomaly detection in intelligent surveillance domains, conventional visual-based detection approaches often struggle with information insuffic…

cs.CV2025

SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model

Zongcan Ding, Haodong Zhang, Peng Wu +4

Video anomaly detection (VAD) aims to identify unexpected events in videos and has wide applications in safety-critical domains. While semi-supervised methods trained on only norma…

cs.CV2025

AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis

Zhiwei Yang, Chen Gao, Jing Liu +3

The rapid advancements in large language models (LLMs) have spurred growing interest in LLM-based video anomaly detection (VAD). However, existing approaches predominantly focus on…