2,437 research outputs found
Object priors for classifying and localizing unseen actions
This work strives for the classification and localization of human actions in
videos, without the need for any labeled video training examples. Where
existing work relies on transferring global attribute or object information
from seen to unseen action videos, we seek to classify and spatio-temporally
localize unseen actions in videos from image-based object information only. We
propose three spatial object priors, which encode local person and object
detectors along with their spatial relations. On top we introduce three
semantic object priors, which extend semantic matching through word embeddings
with three simple functions that tackle semantic ambiguity, object
discrimination, and object naming. A video embedding combines the spatial and
semantic object priors. It enables us to introduce a new video retrieval task
that retrieves action tubes in video collections based on user-specified
objects, spatial relations, and object size. Experimental evaluation on five
action datasets shows the importance of spatial and semantic object priors for
unseen actions. We find that persons and objects have preferred spatial
relations that benefit unseen action localization, while using multiple
languages and simple object filtering directly improves semantic matching,
leading to state-of-the-art results for both unseen action classification and
localization.Comment: Accepted to IJC
Inhibitory effects of bisbenzylisoquinolines on synthesis of the inflammatory cytokines interleukin-1 and tumour necrosis factor-alpha
Synthesis of IL-1β and TNFα by human monocytesmacrophages was significantly inhibited by eleven bisbenzylisoquinolines and one half-molecule (benzylisoquinoline), with IC50 values in the μM range. The results indicate that these compounds may have value in the therapy of human diseases where these inflammatory cytokines have a central role in pathogenesis
The critical current density of advanced internal-Mg-diffusion-processed MgB2 wires
Recent advances in MgB2 conductors are leading to a new level of performance.
Based on the use of proper powders, proper chemistry, and an architecture which
incorporates internal Mg diffusion (IMD), a dense MgB2 structure with not only
a high critical current density Jc, but also a high engineering critical
current density, Je, can be obtained. In this paper, a series of these advanced
(or second - generation, "2G") conductors has been prepared. Scanning electron
microscopy and associated energy dispersive X-ray spectroscopy were applied to
characterize the microstructures and compositions of the wires, and a dense
MgB2 layer structure was observed. The best layer Jc for our sample is 1.07x105
A/cm2 at 10 T, 4.2 K, and our best Je is seen to be 1.67x104 A/cm2 at 10 T, 4.2
K. Optimization of the transport properties of these advanced wires is
discussed in terms of B-powder choice, area fraction, and the MgB2 layer growth
mechanism.Comment: 13 pages, 3 tables, 7 figures (or 8 pp in published version
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