6 papers
EvoOMG: An Evolution-Oriented Multi-Agent Guidance Framework for Heterogeneous Legacy-and-MLO Wi-Fi Networks
Junjie Wu, Lingjian Zhou, Zerui Shao +4
The gradual deployment of Wi-Fi 7/8 multi-link operation (MLO) will lead to long-term coexistence between legacy non-MLO stations (STAs) and MLO-capable STAs in WLANs. This mixed d…
SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
Zhaoyang Li, Zhichao You, Tianrui Li
Although multi-modal learning has advanced point cloud completion, the theoretical mechanisms remain unclear. Recent works attribute success to the connection between modalities, y…
Degradation-Aware Adaptive Context Gating for Unified Image Restoration
Lei He, Jielei Chu, Fengmao Lv +4
Unified image restoration using a single model often faces task interference due to diverse degradations. To address this, we propose DACG-IR (Degradation-Aware Adaptive Context Ga…
Mirage: Transmitting a Video as a Perceptual Illusion for 50,000X Speedup
Junjie Wu, Tianrui Li, Yi Zhang +1
The existing communication framework mainly aims at accurate reconstruction of source signals to ensure reliable transmission. However, this signal-level fidelity-oriented design o…
Granular Computing-driven SAM: From Coarse-to-Fine Guidance for Prompt-Free Segmentation
Qiyang Yu, Yu Fang, Tianrui Li +5
Prompt-free image segmentation aims to generate accurate masks without manual guidance. Typical pre-trained models, notably Segmentation Anything Model (SAM), generate prompts dire…
Dynamic Granularity Matters: Rethinking Vision Transformers Beyond Fixed Patch Splitting
Qiyang Yu, Yu Fang, Tianrui Li +4
Vision Transformers (ViTs) have demonstrated strong capabilities in capturing global dependencies but often struggle to efficiently represent fine-grained local details. Existing m…