2 citations · 7 across the 9 of their papers we have counts for
10 papers
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…
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,…
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…
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…
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…
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…
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…
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…
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…
Selecting Learnable Training Samples is All DETRs Need in Crowded Pedestrian Detection
Feng Gao, Jiaxu Leng, Gan Ji +1
DEtection TRansformer (DETR) and its variants (DETRs) achieved impressive performance in general object detection. However, in crowded pedestrian detection, the performance of DETR…