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  1. We propose a simple, fast, and accurate one-stage approach to visual grounding, inspired by the following insight. The performances of existing propose-and-rank twostage methods are capped by the quality of the region candidates they propose in the first stage — if none of the candidates could cover the ground truth region, there is no hope in the second stage to rank the right region to the top. To avoid this caveat, we propose a one-stage model that enables end-to-end joint optimization. The main idea is as straightforward as fusing a text query’s embedding into the YOLOv3 object detector, augmented bymore »spatial features so as to account for spatial mentions in the query. Despite being simple, this one-stage approach shows great potential in terms of both accuracy and speed for both phrase localization and referring expression comprehension, according to our experiments. Given these results along with careful investigations into some popular region proposals, we advocate for visual grounding a paradigm shift from the conventional two-stage methods to the one-stage framework.« less
  2. Polymorphic gates are reconfigurable devices that deliver multiple functionalities at different temperature, supply voltage or external inputs. Capable of working in different modes, polymorphic gate is a promising candidate for embedding secret information such as fingerprints. In this paper, we report five polymorphic gates whose functionality varies in response to specific control input and propose a circuit fingerprinting scheme based on these gates. The scheme selectively replaces standard logic cells by polymorphic gates whose functionality differs with the standard cells only on Satisfiability Don’t Care conditions. Additional dummy fingerprint bits are also introduced to enhance the fingerprint’s robustness against attacksmore »such as fingerprint removal and modification. Experimental results on ISCAS and MCNC benchmark circuits demonstrate that our scheme introduces low overhead. More specifically, the average overhead in area, speed and power are 4.04%, 6.97% and 4.15% respectively when we embed 64-bit fingerprint that consists of 32 real fingerprint bits and 32 dummy bits. This is only half of the overhead of the other known approach when they create 32-bit fingerprints.« less
  3. Free, publicly-accessible full text available March 1, 2023
  4. Free, publicly-accessible full text available January 1, 2023
  5. A bstract A search is presented for new particles produced at the LHC in proton-proton collisions at $$ \sqrt{s} $$ s = 13 TeV, using events with energetic jets and large missing transverse momentum. The analysis is based on a data sample corresponding to an integrated luminosity of 101 fb − 1 , collected in 2017–2018 with the CMS detector. Machine learning techniques are used to define separate categories for events with narrow jets from initial-state radiation and events with large-radius jets consistent with a hadronic decay of a W or Z boson. A statistical combination is made with anmore »earlier search based on a data sample of 36 fb − 1 , collected in 2016. No significant excess of events is observed with respect to the standard model background expectation determined from control samples in data. The results are interpreted in terms of limits on the branching fraction of an invisible decay of the Higgs boson, as well as constraints on simplified models of dark matter, on first-generation scalar leptoquarks decaying to quarks and neutrinos, and on models with large extra dimensions. Several of the new limits, specifically for spin-1 dark matter mediators, pseudoscalar mediators, colored mediators, and leptoquarks, are the most restrictive to date.« less
    Free, publicly-accessible full text available November 1, 2022
  6. Free, publicly-accessible full text available September 1, 2022
  7. Free, publicly-accessible full text available September 1, 2022