ICCV Daily 2023 - Thursday

11 DAILY ICCV Thursday ICCV Daily Publisher: RSIP Vision Copyright: RSIP Vision Editor: Ralph Anzarouth All rights reserved Unauthorized reproduction is strictly forbidden. Our editorial choices are fully independent from IEEE, the Computer Vision Foundation and ICCV organizers. Samuel acknowledges that the success of this work was a collective effort and is keen to thank his collaborators, including second and third authors Vijay and Yumin; the students at Rutgers University who helped with the benchmarks and baselines; and everyone at NEC Labs, particularly his department head, who encouraged and supported the work despite its academic bent. “I’mgoing to be bold here and say, in the future, this is what object detection looks like,” he declares. “Our paper is just a benchmark, but it’s a benchmark for models that will be the next generation. It’s a transition already, but this is how all detection papers will look in the next few years.” Until the next revolution, at least? “Yes, exactly,” he laughs. “It could be over soon!” To learn more about Samuel’s work, visit his poster this afternoon at 14:30-16:30 and his oral at 16:30-18:00. OmniLabel

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