14 citations · 23 across the 15 of their papers we have counts for
16 papers · 1 filter
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…
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…
Causal Bootstrapped Alignment for Unsupervised Video-Based Visible-Infrared Person Re-Identification
Shuang Li, Jiaxu Leng, Changjiang Kuang +3
VVI-ReID is a critical technique for all-day surveillance, where temporal information provides additional cues beyond static images. However, existing approaches rely heavily on fu…
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,…
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…
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…
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow
Lin Yuan, Kai Liang, Xiao Pu +5
This paper proposes a novel paradigm for facial privacy protection that unifies multiple characteristics including anonymity, diversity, reversibility and security within a single…
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…
Contextual Learning in Fourier Complex Field for VHR Remote Sensing Images
Yan Zhang, Xiyuan Gao, Qingyan Duan +3
Very high-resolution (VHR) remote sensing (RS) image classification is the fundamental task for RS image analysis and understanding. Recently, transformer-based models demonstrated…
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Leng Jiaxu, Chen Taiyue, Gao Xinbo +4
Few-shot object detection, learning to adapt to the novel classes with a few labeled data, is an imperative and long-lasting problem due to the inherent long-tail distribution of r…