{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T15:30:34Z","timestamp":1787671834155,"version":"build-2736575974"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10447729","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"6950-6954","source":"Crossref","is-referenced-by-count":9,"title":["HAROOD: Human Activity Classification and Out-Of-Distribution Detection with Short-Range FMCW Radar"],"prefix":"10.1109","author":[{"given":"Sabri Mustafa","family":"Kahya","sequence":"first","affiliation":[{"name":"Technical University of Munich, School of Computation, Information and Technology,Munich Institute of Robotics and Machine Intelligence (MIRMI),Department of Computer Engineering, Chair of Media Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammet","family":"Sami Yavuz","sequence":"additional","affiliation":[{"name":"Technical University of Munich, School of Computation, Information and Technology,Munich Institute of Robotics and Machine Intelligence (MIRMI),Department of Computer Engineering, Chair of Media Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eckehard","family":"Steinbach","sequence":"additional","affiliation":[{"name":"Technical University of Munich, School of Computation, Information and Technology,Munich Institute of Robotics and Machine Intelligence (MIRMI),Department of Computer Engineering, Chair of Media Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2020.2983706"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2018.2882642"},{"key":"ref3","article-title":"Hood: Real-time robust human presence and out-of-distribution detection with low-cost fmcw radar","author":"Kahya","year":"2023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR42522.2020.9114871"},{"key":"ref5","article-title":"Detecting out-of-distribution examples with Gram matrices","volume-title":"International Conference on Machine Learning (ICML)","author":"Sastry"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00819"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00487"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2009.2012849"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2020.2991367"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3006386"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3092002"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR41533.2019.171263"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3412060.3418430"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.23919\/EuRAD.2018.8546615"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2491329"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR41533.2019.171243"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1049\/rsn2.12066"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3092002"},{"key":"ref19","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","volume-title":"International Conference on Learning Representations (ICLR)","author":"Hendrycks"},{"key":"ref20","article-title":"Enhancing the reliability of out-of-distribution image detection in neural networks","volume-title":"International Conference on Learning Representations (ICLR)","author":"Liang"},{"key":"ref21","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume-title":"Advances in Neural Information Processing Systems.","volume":"30","author":"Lakshminarayanan","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01096"},{"key":"ref23","article-title":"A simple unified framework for detecting out-of-distribution samples and adversarial attacks","volume-title":"International Conference on Neural Information Processing Systems (NeurIPS)","author":"Lee"},{"key":"ref24","article-title":"Feature space singularity for out-of-distribution detection","volume-title":"Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021)","author":"Huang"},{"key":"ref25","article-title":"Out-of-distribution detection with deep nearest neighbors","volume-title":"International Conference on Machine Learning (ICML)","author":"Sun"},{"key":"ref26","article-title":"Energy-based out-of-distribution detection","author":"Liu","year":"2020","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref27","article-title":"React: Out-of-distribution detection with rectified activations","author":"Sun","year":"2021","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref28","article-title":"On the importance of gradients for detecting distributional shifts in the wild","author":"Huang","year":"2021","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref29","article-title":"Scaling out-of-distribution detection for real-world settings","volume-title":"International Conference on Machine Learning (ICML)","author":"Hendrycks"},{"key":"ref30","article-title":"Deep anomaly detection with outlier exposure","volume-title":"International Conference on Learning Representations (ICLR)","author":"Hendrycks"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.02.007"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO58844.2023.10290040"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095053"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2024,4,14]]},"end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10447729.pdf?arnumber=10447729","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T04:31:51Z","timestamp":1722573111000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10447729\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10447729","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}