activity
20232026
most citedShape-centered Representation Learning for Visible-Infrared Person Re-identification

2 citations · 5 across the 10 of their papers we have counts for

collaborators

11 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

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…

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★ 1 cited

PiercingEye: Dual-Space Video Violence Detection with Hyperbolic Vision-Language Guidance

Jiaxu Leng, Zhanjie Wu, Mingpi Tan +5

Existing weakly supervised video violence detection (VVD) methods primarily rely on Euclidean representation learning, which often struggles to distinguish visually similar yet sem…

cs.CV2025

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

Haosheng Chen, Lian Luo, Mengjingcheng Mo +4

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.CV2024★ 1 cited

Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection

Jiaxu Leng, Zhanjie Wu, Mingpi Tan +4

While numerous Video Violence Detection (VVD) methods have focused on representation learning in Euclidean space, they struggle to learn sufficiently discriminative features, leadi…

cs.CV2024★ 1 cited

CLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification

Shuang Li, Jiaxu Leng, Guozhang Li +3

Contrastive Language-Image Pre-Training (CLIP) has shown impressive performance in short-term Person Re-Identification (ReID) due to its ability to extract high-level semantic feat…

cs.CV2023★ 2 cited

Shape-centered Representation Learning for Visible-Infrared Person Re-identification

Shuang Li, Jiaxu Leng, Ji Gan +2

Visible-Infrared Person Re-Identification (VI-ReID) plays a critical role in all-day surveillance systems. However, existing methods primarily focus on learning appearance features…

cs.CV2023

Ranking-based Adaptive Query Generation for DETRs in Crowded Pedestrian Detection

Feng Gao, Jiaxu Leng, Ji Gan +1

DEtection TRansformer (DETR) and its variants (DETRs) have been successfully applied to crowded pedestrian detection, which achieved promising performance. However, we find that, i…