1 citations · 2 across the 6 of their papers we have counts for
6 papers
ITP-STDP: A Hardware-Efficient Intrinsic-Timing Power-of-Two Synaptic Learning Engine for On-Chip SNNs
Haihang Xia, Xinyu Zhao, Xuecheng Wang +5
Spiking neural networks (SNNs) have the potential to emerge as the third generation of neural networks and have attracted increasing attention across a wide range of applications.…
Region-CAM: Towards Accurate Object Regions in Class Activation Maps for Weakly Supervised Learning Tasks
Qingdong Cai, Charith Abhayaratne
Class Activation Mapping (CAM) methods are widely applied in weakly supervised learning tasks due to their ability to highlight object regions. However, conventional CAM methods hi…
AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition
Haiyu Li, Charith Abhayaratne
Event cameras, which capture brightness changes with high temporal resolution, inherently generate a significant amount of redundant and noisy data beyond essential object structur…
NLS: Natural-Level Synthesis for Hardware Implementation Through GenAI
Kaiyuan Yang, Huang Ouyang, Xinyi Wang +6
This paper introduces Natural-Level Synthesis, an innovative approach for generating hardware using generative artificial intelligence on both the system level and component-level.…
2D Pose Estimation based Child Action Recognition
Sanka Mohottala, Sandun Abeygunawardana, Pradeepa Samarasinghe +2
We present a graph convolutional network with 2D pose estimation for the first time on child action recognition task achieving on par results with an RGB modality based model on a…
Graph Neural Network based Child Activity Recognition
Sanka Mohottala, Pradeepa Samarasinghe, Dharshana Kasthurirathna +1
This paper presents an implementation on child activity recognition (CAR) with a graph convolution network (GCN) based deep learning model since prior implementations in this domai…