{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T05:54:35Z","timestamp":1778046875535,"version":"3.51.4"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000015","name":"U.S. Department of Energy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006231","name":"Brookhaven National Laboratory","doi-asserted-by":"publisher","award":["DE-SC0012704"],"award-info":[{"award-number":["DE-SC0012704"]}],"id":[{"id":"10.13039\/100006231","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.00915","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"9812-9821","source":"Crossref","is-referenced-by-count":1,"title":["EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-Based Vision"],"prefix":"10.1109","author":[{"given":"Dmitrii","family":"Torbunov","sequence":"first","affiliation":[{"name":"Brookhaven National Laboratory,NY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihui","family":"Ren","sequence":"additional","affiliation":[{"name":"Brookhaven National Laboratory,NY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Animesh","family":"Ghose","sequence":"additional","affiliation":[{"name":"Brookhaven National Laboratory,NY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Odera","family":"Dim","sequence":"additional","affiliation":[{"name":"Brookhaven National Laboratory,NY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonggang","family":"Cui","sequence":"additional","affiliation":[{"name":"Brookhaven National Laboratory,NY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1352","article-title":"ReZero is all you need: fast convergence at large depth","volume-title":"Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 2730 July 2021","author":"Bachlechner","year":"2021"},{"key":"ref2","first-page":"213","article-title":"End-toend object detection with transformers","volume-title":"Computer Vision - ECCV 2020\u201316th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I","author":"Carion","year":"2020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892618"},{"key":"ref4","article-title":"A large scale event-based detection dataset for automotive","volume":"abs\/2001.08499","author":"de Tournemire","year":"2020","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0441"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3008413"},{"key":"ref7","article-title":"YOLOX: exceeding YOLO series in 2021","volume":"abs\/2107.08430","author":"Ge","year":"2021","journal-title":"CoRR"},{"key":"ref8","article-title":"Pushing the limits of asynchronous graph-based object detection with event cameras","volume":"abs\/2211.12324","author":"Gehrig","year":"2022","journal-title":"CoRR"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01334"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref11","article-title":"Parameter-efficient fine-tuning for large models: A comprehensive survey","author":"Han","year":"2024","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref12","article-title":"Towards a unified view of parameter-efficient transfer learning","volume-title":"The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25\u201329, 2022","author":"He","year":"2022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","first-page":"2790","article-title":"Parameter-efficient transfer learning for NLP","volume-title":"Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9\u201315 June 2019, Long Beach, California, USA","author":"Houlsby","year":"2019"},{"key":"ref15","article-title":"LoRA: low-rank adaptation of large language models","volume-title":"The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25\u201329, 2022","author":"Hu","year":"2022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3162962"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58598-3_25"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25298"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00555"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01589"},{"key":"ref22","article-title":"Learning to detect objects with a 1 megapixel event camera","volume-title":"Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6\u201312, 2020, virtual","author":"Perot","year":"2020"},{"key":"ref23","volume-title":"Prophesee\u2019s automotive dataset toolbox","year":"2024"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref25","first-page":"91","article-title":"Faster R-CNN: towards real-time object detection with region proposal networks","volume-title":"Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7\u201312, 2015, Montreal, Quebec, Canada","author":"Ren","year":"2015"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01205"},{"key":"ref27","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7\u201312, 2015, Montreal, Quebec, Canada","author":"Shi","year":"2015"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref29","article-title":"DINO: DETR with improved denoising anchor boxes for end-to-end object detection","volume-title":"The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1\u20135, 2023","author":"Zhang","year":"2023"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"ref31","article-title":"Convolution meets lora: Parameter efficient finetuning for segment anything model","volume-title":"The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7\u201311, 2024","author":"Zhong","year":"2024"},{"key":"ref32","article-title":"Deformable DETR: deformable transformers for end-to-end object detection","volume-title":"9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3\u20137, 2021","author":"Zhu","year":"2021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01180"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00556"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11446251.pdf?arnumber=11446251","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:18:03Z","timestamp":1777529883000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11446251\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.00915","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}