{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:33:48Z","timestamp":1763192028849,"version":"3.45.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11227212","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition"],"prefix":"10.1109","author":[{"given":"Haiyu","family":"Li","sequence":"first","affiliation":[{"name":"The University of Sheffield,School of Electronic and Electrical Engineering,Sheffield,United Kingdom"}]},{"given":"Charith","family":"Abhayaratne","sequence":"additional","affiliation":[{"name":"The University of Sheffield,School of Electronic and Electrical Engineering,Centre for Machine Intelligence,Sheffield,United Kingdom"}]}],"member":"263","reference":[{"key":"ref1","first-page":"C186","article-title":"A 240\u00d7180 10mW 12us latency sparse-output vision sensor for mobile applications","volume-title":"2013 Symposium on VLSI Circuits","author":"Berner"},{"key":"ref2","article-title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","volume-title":"Cornell University","author":"Tan","year":"2019"},{"key":"ref3","article-title":"End-to-End Learning of Representations for Asynchronous Event-Based Data","volume-title":"Cornell University","author":"Gehrig","year":"2019"},{"key":"ref4","article-title":"Events-to-Video: Bringing Modern Computer Vision to Event Cameras","volume-title":"Cornell University","author":"Rebecq","year":"2019"},{"key":"ref5","article-title":"A Differentiable Recurrent Surface for Asynchronous Event-Based Data","volume-title":"Cornell University","author":"Cannici","year":"2020"},{"key":"ref6","article-title":"HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification","volume-title":"Cornell University","author":"Sironi","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2574707"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2015.2392947","article-title":"HFirst: A Temporal Approach to Object Recognition","author":"Orchard","year":"2015"},{"key":"ref9","article-title":"Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks","volume-title":"Cornell University","author":"Liu","year":"2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.01442"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00058"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/wacv.2019.00199"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ijcnn.2011.6033299"},{"key":"ref14","article-title":"Inductive Representation Learning on Large Graphs","volume-title":"Cornell University","author":"Hamilton","year":"2017"},{"article-title":"Graph Attention Networks","year":"2017","author":"Veli\u010dkovi\u0107","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3054886"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/BioCAS.2013.6679698"},{"key":"ref18","article-title":"Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data","volume-title":"Cornell University","author":"Ye","year":"2018"},{"article-title":"Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks","year":"2018","author":"I","key":"ref19"},{"key":"ref20","article-title":"Event-based Asynchronous Sparse Convolutional Networks","volume-title":"Cornell University","author":"Messikommer","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00961"},{"key":"ref22","article-title":"Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification","volume-title":"Cornell University","author":"Xie","year":"2020"},{"key":"ref23","article-title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","volume-title":"Cornell University","author":"Qi","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00401"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.3008413"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3028696"},{"key":"ref27","article-title":"Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades","volume-title":"Cornell University","author":"Orchard","year":"2015"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00309"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00481"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2023.3260638"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11227212.pdf?arnumber=11227212","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:31:27Z","timestamp":1763191887000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11227212\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11227212","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}