1,674 research outputs found
Efficient Multi-level Correlating for Visual Tracking
Correlation filter (CF) based tracking algorithms have demonstrated favorable
performance recently. Nevertheless, the top performance trackers always employ
complicated optimization methods which constraint their real-time applications.
How to accelerate the tracking speed while retaining the tracking accuracy is a
significant issue. In this paper, we propose a multi-level CF-based tracking
approach named MLCFT which further explores the potential capacity of CF with
two-stage detection: primal detection and oriented re-detection. The cascaded
detection scheme is simple but competent to prevent model drift and accelerate
the speed. An effective fusion method based on relative entropy is introduced
to combine the complementary features extracted from deep and shallow layers of
convolutional neural networks (CNN). Moreover, a novel online model update
strategy is utilized in our tracker, which enhances the tracking performance
further. Experimental results demonstrate that our proposed approach
outperforms the most state-of-the-art trackers while tracking at speed of
exceeded 16 frames per second on challenging benchmarks.Comment: Accepted by ACCV'201
Supercooling-enabled giant and tunable thermal rectification ratio of a phase change thermal diode
Phase change thermal diodes (PCTD) suffer from fairly low thermal
rectification ratio, which hampers their widespread utilization as thermal
management and control units for cutting-edge technologies, encompassing
photovoltaics, thermoelectric modules, batteries and other miniaturized
electronic products, etc. It is thus indispensable to explore a
high-performance PCTD. Herein, a tunable and scalable PCTD is modeled,
theoretically analyzed, fabricated and experimentally executed, accessing an
unprecedented giant thermal rectification ratio of 3.0 at ambient temperature.
With optimized length ratio and feasible assembly of two phase change
terminals, the emerging physical states of thermal media continuously
contribute to align the convective-intensified thermal conductive profiles,
mandatory for heat flux manipulation within temperature bias of 10~40 {\deg}C.
The most significant finding discloses the fact that supercooling elongates the
overall workable temperature bias range, while manual supercooling release
allows to tune the thermal rectification ratio at any temperature bias within
10~33 {\deg}C. Integrating the conventional asymmetric thermal transport
mechanism with state-specific heat transfer hysteresis helps establish the
novel governing mechanism
Kazhdan-Lusztig coefficients for the lowest two-sided cell of type
This paper studies the Kazhdan-Lusztig coefficients of the
Kazhdan-Lusztig polynomials for the lowest cell of an
affine Weyl group of type and gives an estimation
for .Comment: 96 page
Learning Cascaded Siamese Networks for High Performance Visual Tracking
Visual tracking is one of the most challenging computer vision problems. In
order to achieve high performance visual tracking in various negative
scenarios, a novel cascaded Siamese network is proposed and developed based on
two different deep learning networks: a matching subnetwork and a
classification subnetwork. The matching subnetwork is a fully convolutional
Siamese network. According to the similarity score between the exemplar image
and the candidate image, it aims to search possible object positions and crop
scaled candidate patches. The classification subnetwork is designed to further
evaluate the cropped candidate patches and determine the optimal tracking
results based on the classification score. The matching subnetwork is trained
offline and fixed online, while the classification subnetwork performs
stochastic gradient descent online to learn more target-specific information.
To improve the tracking performance further, an effective classification
subnetwork update method based on both similarity and classification scores is
utilized for updating the classification subnetwork. Extensive experimental
results demonstrate that our proposed approach achieves state-of-the-art
performance in recent benchmarks.Comment: Accepted for IEEE 26th International Conference on Image Processing
(ICIP 2019
Precision study on production including -boson leptonic decays at the ILC
We report on the precision predictions for the process
including -boson leptonic decays at the ILC in the standard model (SM). The
calculation includes the full next-to-leading (NLO) electroweak (EW)
corrections and high order initial state radiation (h.o.ISR) contributions. We
find that the NLO EW corrections heavily suppress the LO cross section, and the
h.o.ISR effects are notable near the threshold while become small in high
energy region. We present the LO and the NLO EW+h.o.ISR corrected distributions
of the transverse momenta of final -boson and photon as well as the -pair
invariant mass, and investigate the corresponding NLO EW and h.o.ISR relative
corrections. We also study the leptonic decays of the final -boson pair by
adopting the {\sc MadSpin} method where the spin correlation effect is
involved. We conclude that both the h.o.ISR effects and the NLO EW corrections
are important in exploring the production at the ILC.Comment: 8 pages, 13 figures. To match the published version in Eur.Phys.J.
C76 (2016) 2, 7
Experimental test of Heisenberg's measurement uncertainty relation based on statistical distances
Incompatible observables can be approximated by compatible observables in
joint measurement or measured sequentially, with constrained accuracy as
implied by Heisenberg's original formulation of the uncertainty principle.
Recently, Busch, Lahti, and Werner proposed inaccuracy trade-off relations
based on statistical distances between probability distributions of measurement
outcomes [Phys. Rev. Lett. 111, 160405 (2013); Phys. Rev. A 89, 012129 (2014)].
Here we reform their theoretical framework, derive an improved relation for
qubit measurement, and perform an experimental test on a spin system. The
relation reveals that the worst-case inaccuracy is tightly bounded from below
by the incompatibility of target observables, and is verified by the experiment
employing joint measurement in which two compatible but typically
non-commutative observables on one qubit are measured simultaneously
production in large extra dimensions model at LHC and ILC
We investigate the effect induced by the Kaluza-Klein (KK) graviton in the
production in the framework of the large extra dimensions
(LED) model at both the CERN Large Hadron Collider (LHC) and the International
Linear Collider (ILC). The integrated cross sections and various kinematic
distributions in the LED model are presented and compared with those in the
standard model. The results show that the contributions from KK-graviton
exchange remarkably affect the observables of the triple gauge boson
() production processes at both the ILC and the LHC,
particularly either in the high transverse momentum region or in the central
rapidity region. We also find that the relative LED discrepancy for the
production at the LHC is generally larger than that at the ILC
due to the additional LED contribution via fusion subprocess and the
KK-graviton exchanging resonant effect induced by the continuous large
colliding energy in collision. We conclude that the and
productions at the LHC could have the distinct advantage over at
the ILC from the aspect of effectively exploring the LED signal in measuring
production.Comment: 23 pages, 19 figure
Probing the littlest Higgs model with parity using di-Higgs events through -pair production at the LHC in NLO QCD
We investigate the di-Higgs events through -pair production at the CERN
Large Hadron Collider including the pure next-to-leading order (NLO) QCD
correction and the -fusion contribution in the framework of the littlest
Higgs model with parity. We employ the diagram subtraction scheme in the
QCD NLO calculations to avoid double counting and keep the convergence of the
perturbative QCD description for the -pair production. We investigate the
dependence of the leading order and QCD corrected integrated cross sections on
the renormalization/factorization scale, and find that the total QCD
corrections slightly reduce the scale uncertainty in the plotted range. By
considering the subsequent decays of the intermediately produced bosons
and adopting the exclusive four--jet event selection criterion, the QCD
correction provides considerable enhancement of the kinematic distributions for
final decay products. We find that it is possible to select the signature of
the -pair production from possible standard model background by taking
proper kinematic cuts.Comment: 30 pages, 14 figure
Precision study of production including parton shower effects at the CERN Large Hadron Collider
The precision study of production with subsequent and
decays at the LHC can help us to study the Higgs gauge couplings and to search
for new physics beyond the SM. In this paper, we calculate the shower-matched
NLO QCD correction and the EW corrections from the annihilation and
photon-induced channels to the production at the LHC,
and deal with the subsequent decays of Higgs and bosons by adopting
the {\sc MadSpin} method. Both the integrated cross section and some kinematic
distributions of , and their decay products are provided. We find
that the QCD correction enhances the LO differential cross section
significantly, while the EW correction from the annihilation channel
obviously suppresses the LO differential cross section, especially in the high
energy phase-space region due to the Sudakov effect. The - and
-induced relative corrections are positive, and insensitive to
the transverse momenta of , and their decay products. These
photon-induced corrections compensate the negative -initiated EW
correction, and become the dominant EW contribution as the increment of the
colliding energy. The parton shower (PS) effects on the kinematic
distributions are nonnegligible. The PS relative correction to the -jet
transverse momentum distribution can exceed in the high
region. We also investigate the scale and PDF uncertainties, and find that the
theoretical error of the corrected
integrated cross section mainly comes from the renormalization scale dependence
of the QCD correction.Comment: 31 pages, 13 figures, to be published in Chinese Physics
A Complementary Tracking Model with Multiple Features
Discriminative Correlation Filters based tracking algorithms exploiting
conventional handcrafted features have achieved impressive results both in
terms of accuracy and robustness. Template handcrafted features have shown
excellent performance, but they perform poorly when the appearance of target
changes rapidly such as fast motions and fast deformations. In contrast,
statistical handcrafted features are insensitive to fast states changes, but
they yield inferior performance in the scenarios of illumination variations and
background clutters. In this work, to achieve an efficient tracking
performance, we propose a novel visual tracking algorithm, named MFCMT, based
on a complementary ensemble model with multiple features, including Histogram
of Oriented Gradients (HOGs), Color Names (CNs) and Color Histograms (CHs).
Additionally, to improve tracking results and prevent targets drift, we
introduce an effective fusion method by exploiting relative entropy to coalesce
all basic response maps and get an optimal response. Furthermore, we suggest a
simple but efficient update strategy to boost tracking performance.
Comprehensive evaluations are conducted on two tracking benchmarks demonstrate
and the experimental results demonstrate that our method is competitive with
numerous state-of-the-art trackers. Our tracker achieves impressive performance
with faster speed on these benchmarks.Comment: Accepted by IVPAI 201
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