41 citations · 51 across the 10 of their papers we have counts for
12 papers
FRFDet: Efficient UAV Small Object Detection with Symmetric Sampling and Scalable Fusion
Yunzhong Si, Huiying Xu, Xinzhong Zhu +4
Small object detection in Unmanned Aerial Vehicle (UAV) imagery remains challenging under adverse conditions, including complex weather, low illumination, and sensor noise. These c…
Fore-Mamba3D: Mamba-based Foreground-Enhanced Encoding for 3D Object Detection
Zhiwei Ning, Xuanang Gao, Jiaxi Cao +5
Linear modeling methods like Mamba have been merged as the effective backbone for the 3D object detection task. However, previous Mamba-based methods utilize the bidirectional enco…
GuardReasoner-Omni: A Reasoning-based Multi-modal Guardrail for Text, Image, Video, and Audio
Zhenhao Zhu, Yue Liu, Yanpei Guo +9
We present GuardReasoner-Omni, a reasoning-based guardrail model designed to moderate text, image, video, and audio data. First, we construct a comprehensive training corpus compri…
Point Cloud Quantization through Multimodal Prompting for 3D Understanding
Hongxuan Li, Wencheng Zhu, Huiying Xu +2
Vector quantization has emerged as a powerful tool in large-scale multimodal models, unifying heterogeneous representations through discrete token encoding. However, its effectiven…
RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering under Multi-Source Noise
Shihao Dong, Yue Liu, Xiaotong Zhou +3
Multi-view clustering (MVC), which aims to separate the multi-view data into distinct clusters in an unsupervised manner, is a fundamental yet challenging task. To enhance its appl…
Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
Chen Li, Huiying Xu, Changxin Gao +3
Single-source Domain Generalized Object Detection (SDGOD), as a cutting-edge research topic in computer vision, aims to enhance model generalization capability in unseen target dom…
Center-Oriented Prototype Contrastive Clustering
Shihao Dong, Xiaotong Zhou, Yuhui Zheng +2
Contrastive learning is widely used in clustering tasks due to its discriminative representation. However, the conflict problem between classes is difficult to solve effectively. E…
Multi-view Clustering via Bi-level Decoupling and Consistency Learning
Shihao Dong, Yuhui Zheng, Huiying Xu +1
Multi-view clustering has shown to be an effective method for analyzing underlying patterns in multi-view data. The performance of clustering can be improved by learning the consis…
ExtendAttack: Attacking Servers of LRMs via Extending Reasoning
Zhenhao Zhu, Yue Liu, Zhiwei Xu +9
Large Reasoning Models (LRMs) have demonstrated promising performance in complex tasks. However, the resource-consuming reasoning processes may be exploited by attackers to malicio…
RemDet: Rethinking Efficient Model Design for UAV Object Detection
Chen Li, Rui Zhao, Zeyu Wang +2
Object detection in Unmanned Aerial Vehicle (UAV) images has emerged as a focal area of research, which presents two significant challenges: i) objects are typically small and dens…
SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention
Yunzhong Si, Huiying Xu, Xinzhong Zhu +4
Channel and spatial attentions have respectively brought significant improvements in extracting feature dependencies and spatial structure relations for various downstream vision t…
Mamba YOLO: A Simple Baseline for Object Detection with State Space Model
Zeyu Wang, Chen Li, Huiying Xu +2
Driven by the rapid development of deep learning technology, the YOLO series has set a new benchmark for real-time object detectors. Additionally, transformer-based structures have…