1 citations · 1 across the 7 of their papers we have counts for
7 papers
Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion
Xuling Zhang, Peng Wang, Daiyan Li +3
Most graph neural network (GNN) cores rely on graph convolutions, typically implemented as message passing between direct (single-hop) neighbors. In many real-world graphs, edges c…
RT-Focuser: A Real-Time Lightweight Model for Edge-side Image Deblurring
Zhuoyu Wu, Wenhui Ou, Qiawei Zheng +6
Motion blur caused by camera or object movement severely degrades image quality and poses challenges for real-time applications such as autonomous driving, UAV perception, and medi…
Tensor Manipulation Unit (TMU): Reconfigurable, Near-Memory Tensor Manipulation for High-Throughput AI SoC
Weiyu Zhou, Zheng Wang, Chao Chen +4
While recent advances in AI SoC design have focused heavily on accelerating tensor computation, the equally critical task of tensor manipulation, centered on high,volume data movem…
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and Complexity
Shihao Zou, Qingfeng Li, Wei Ji +4
Spiking Neural Networks (SNNs) have shown competitive performance to Artificial Neural Networks (ANNs) in various vision tasks, while offering superior energy efficiency. However,…
Constants of motion network revisited
Wenqi Fang, Chao Chen, Yongkui Yang +1
Discovering constants of motion is meaningful in helping understand the dynamical systems, but inevitably needs proficient mathematical skills and keen analytical capabilities. Wit…
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
Weiyu Guo, Ying Sun, Yijie Xu +3
Surface electromyography (sEMG) based gesture recognition offers a natural and intuitive interaction modality for wearable devices. Despite significant advancements in sEMG-based g…
Context-Enhanced Stereo Transformer
Weiyu Guo, Zhaoshuo Li, Yongkui Yang +5
Stereo depth estimation is of great interest for computer vision research. However, existing methods struggles to generalize and predict reliably in hazardous regions, such as larg…