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cs.CV2025
Online Segment Any 3D Thing as Instance Tracking
Hanshi Wang, Zijian Cai, Jin Gao +4
Online, real-time, and fine-grained 3D segmentation constitutes a fundamental capability for embodied intelligent agents to perceive and comprehend their operational environments.…
cs.CV2025
AutoPrune: Each Complexity Deserves a Pruning Policy
Hanshi Wang, Yuhao Xu, Zekun Xu +5
The established redundancy in visual tokens within large vision-language models allows pruning to effectively reduce their substantial computational demands. Previous methods typic…
cs.LG2025
Towards a deeper GCN: Alleviate over-smoothing with iterative training and fine-tuning
Furong Peng, Jinzhen Gao, Xuan Lu +3
Graph Convolutional Networks (GCNs) suffer from severe performance degradation in deep architectures due to over-smoothing. While existing studies primarily attribute the over-smoo…