collaborators

8 papers

cs.CV2026

Linguistic Relative Policy Optimization for Video Anomaly Reasoning

Jiaxu Leng, Jiankang Zheng, Mengjingcheng Mo +4

Video anomaly detection (VAD) with multimodal large language models has shown strong potential, yet most existing methods still depend on large-scale annotations or expert-designed…

cs.CV2026

Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization

Mengjingcheng Mo, Jiaxu Leng, Xinbo Gao

Video anomaly understanding (VAU) relies on sparse, context-dependent cues. However, existing passive paradigms suffer from observational aliasing, where static sampling fails to d…

cs.CV2025

SplatFont3D: Structure-Aware Text-to-3D Artistic Font Generation with Part-Level Style Control

Ji Gan, Lingxu Chen, Jiaxu Leng +1

Artistic font generation (AFG) can assist human designers in creating innovative artistic fonts. However, most previous studies primarily focus on 2D artistic fonts in flat design,…

cs.CV2025

A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding

Mengjingcheng Mo, Xinyang Tong, Mingpi Tan +7

While unmanned aerial vehicles (UAVs) offer wide-area, high-altitude coverage for anomaly detection, they face challenges such as dynamic viewpoints, scale variations, and complex…

cs.CV2025

EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception

Haosheng Chen, Lian Luo, Mengjingcheng Mo +5

Event cameras, characterized by microsecond temporal resolution and very High Dynamic Range (HDR), emit high-speed event streams for perception tasks. In recent advancements, Graph…

cs.CV2025

Video-Level Language-Driven Video-Based Visible-Infrared Person Re-Identification

Shuang Li, Jiaxu Leng, Changjiang Kuang +2

Video-based Visible-Infrared Person Re-Identification (VVI-ReID) aims to match pedestrian sequences across modalities by extracting modality-invariant sequence-level features. As a…