41 citations · 51 across the 8 of their papers we have counts for
10 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…
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…