1,938 research outputs found
VideoCapsuleNet: A Simplified Network for Action Detection
The recent advances in Deep Convolutional Neural Networks (DCNNs) have shown
extremely good results for video human action classification, however, action
detection is still a challenging problem. The current action detection
approaches follow a complex pipeline which involves multiple tasks such as tube
proposals, optical flow, and tube classification. In this work, we present a
more elegant solution for action detection based on the recently developed
capsule network. We propose a 3D capsule network for videos, called
VideoCapsuleNet: a unified network for action detection which can jointly
perform pixel-wise action segmentation along with action classification. The
proposed network is a generalization of capsule network from 2D to 3D, which
takes a sequence of video frames as input. The 3D generalization drastically
increases the number of capsules in the network, making capsule routing
computationally expensive. We introduce capsule-pooling in the convolutional
capsule layer to address this issue which makes the voting algorithm tractable.
The routing-by-agreement in the network inherently models the action
representations and various action characteristics are captured by the
predicted capsules. This inspired us to utilize the capsules for action
localization and the class-specific capsules predicted by the network are used
to determine a pixel-wise localization of actions. The localization is further
improved by parameterized skip connections with the convolutional capsule
layers and the network is trained end-to-end with a classification as well as
localization loss. The proposed network achieves sate-of-the-art performance on
multiple action detection datasets including UCF-Sports, J-HMDB, and UCF-101
(24 classes) with an impressive ~20% improvement on UCF-101 and ~15%
improvement on J-HMDB in terms of v-mAP scores
Emerging targets in human lymphoma: targeting the MYD88 mutation
B cell neoplasms co-opt the molecular machinery of normal B cells for their survival. Technological advances in cancer genomics has significantly contributed to uncovering the root cause of aggressive lymphomas, revealing a previously unknown link between TLR signaling and B cell neoplasm. Recurrent oncogenic mutations in MYD88 have been found in 39% of the activated B cell-like subtype of diffuse large B cell lymphoma (ABC DLBCL). Interestingly, 29% of ABC DLBCL have a single amino acid substitution of proline for the leucine at position 265 (L265P), and the exact same variant has also been identified in a number of lymphoid malignancies. The MYD88 L265P variant was recently identified in 90% of Wadenstrom's macroglobulinemia patients. These recent developments warrant the need for novel diagnostic tools as well as targeted therapeutics. In this review, we discuss the physiological functions of MYD88 and focus on its role in B cell lymphomas, evaluating the potential for targeting oncogenic MYD88 in lymphoma
Exactly solvable -symmetric models in two dimensions
Non-hermitian, -symmetric Hamiltonians, experimentally realized
in optical systems, accurately model the properties of open, bosonic systems
with balanced, spatially separated gain and loss. We present a family of
exactly solvable, two-dimensional, potentials for a
non-relativistic particle confined in a circular geometry. We show that the
symmetry threshold can be tuned by introducing a second
gain-loss potential or its hermitian counterpart. Our results explicitly
demonstrate that breaking in two dimensions has a rich phase
diagram, with multiple re-entrant symmetric phases.Comment: 6 pages, 6 figure
Competition between Superconductivity and Charge Density Wave Ordering in the LuIr(SiGe) Alloy System
We have performed bulk measurements such as dc magnetic susceptibility,
electrical resistivity and heat capacity on the pseudo-ternary alloys
LuIr(SiGe) to study the interplay and competition
between superconductivity and the charge density wave (CDW) ordering
transition. We track the evolution of the superconducting transition
temperature T and the CDW ordering temperature T as a function
of x (concentration of Ge) (). We find that increasing x
(increasing disorder) suppresses the T rapidly with the concomitant
increase in T. We present a temperature-concentration (or volume) phase
diagram for this system and compare our results with earlier work on
substitution at the Lu or Ir site to show how dilution at the Si site presents
a different situation from these other works. The heat capacity data in the
vicinity of the CDW transition has been analyzed using a model of critical
fluctuations in addition to a mean-field contribution and a smooth lattice
background. We find that the critical exponents change appreciably with
increasing disorder. This analysis suggests that the strong-coupling and non
mean-field like CDW transition in the parent compound LuIrSi
changes to a mean-field like transition with increasing Ge concentration.Comment: 14 pages and 8 figures. Accepted for publication in Phys. Rev.
Phase transitions in LuIrSi
We report the results of our investigations on a polycrystalline sample of
LuIrSi which crystallizes in the UCoSi type structure
(Ibam). These investigations comprise powder X-ray diffraction, magnetic
susceptibility, electrical resistivity and high temperature (120-300 K) heat
capacity studies. Our results reveal that the sample undergoes a
superconducting transition below 3.5 K. It also undergoes a first order phase
transition between 150-250 K as revealed by an upturn in the resistivity, a
diasmagnetic drop in the magnetic susceptibility and a large anomaly (20-30
J/mol K) in the specific heat data. We observe a huge thermal hysteresis of
almost 45 K between the cooling and warming data across this high temperature
transition in all our measurements. Low temperature X-ray diffraction
measurements at 87 K reveals that the compound undergoes a structural change at
the high temperature transition. Resistivity data taken in repeated cooling and
warming cycles indicate that at the high temperature transition, the system
goes into a highly metastable state and successive heating/cooling curves are
found to lie above the previous one and the resistance keeps increasing with
every thermal cycle. The room temperature resistance of a thermaly cycled piece
of the sample decays exponentialy with time with a decay time constant
estimated to be about 10 secs. The anomaly (upturn) in the resistivity and
the large drop (almost 45%) in the susceptibility across the high temperature
transition suggest that the observed structural change is accompanied or
induced by an electronic transition.Comment: 7 figures, 1 table and 18 reference
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