1 citations · 1 across the 4 of their papers we have counts for
7 papers
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…