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CST Publications

CST's 50 Most Recent Publications

[1]
T. Lindeberg, "Scale selection," in Computer Vision, 2nd ed. : Springer, 2021.
[2]
G. Chen et al., "NeuroAED : Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor," IEEE Transactions on Information Forensics and Security, vol. 16, pp. 923-936, 2021.
[3]
X. Aguilar, "Performance Monitoring, Analysis, and Real-Time Introspection on Large-Scale Parallel Systems," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:1, 2020.
[4]
O. O. Özcan et al., "Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus," Journal of Neuroscience, vol. 40, no. 1, pp. 159-170, 2020.
[5]
L. Finnveden, Y. Jansson and T. Lindeberg, "The problems with using STNs to align CNN feature maps," in Northern Lights Deep Learning Workshop 2020, Tromsø, Norway, 20-21 Jan 2020, 2020.
[7]
E. Brocke, "Method development for co-simulation of electrical-chemical systems in Neuroscience," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:9, 2020.
[8]
T. Lindeberg, "Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade," Journal of Mathematical Imaging and Vision, vol. 62, no. 1, pp. 120-148, 2020.
[9]
C. Lacoux et al., "Dynamic insights on transcription initiation and RNA processing during bacterial adaptation," RNA : A publication of the RNA Society, vol. 26, no. 4, pp. 382-395, 2020.
[10]
A. Divin et al., "A Fully Kinetic Perspective of Electron Acceleration around a Weakly Outgassing Comet," Astrophysical Journal Letters, vol. 889, no. 2, 2020.
[11]
T. Stojanovski, "Urban Mobility Certificates (UMCs) : Informing mobility choices, carbon emissionsand energy use from transportation," Stockholm : KTH Royal Institute of Technology, TRITA-ABE-RPT, 2011, 2020.
[12]
J. Bahuguna, A. Sahasranamam and A. Kumar, "Uncoupling the roles of firing rates and spike bursts in shaping the STN-GPe beta band oscillations," PloS Computational Biology, vol. 16, no. 3, 2020.
[13]
L. Hunger, A. Kumar and R. Schmidt, "Abundance Compensates Kinetics : Similar Effect of Dopamine Signals on D1 and D2 Receptor Populations," Journal of Neuroscience, vol. 40, no. 14, pp. 2868-2881, 2020.
[15]
I. Youssef et al., "A Neuro-Inspired Computational Model for a Visually Guided Robotic Lamprey Using Frame and Event Based Cameras," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 2395-2402, 2020.
[16]
N. Calvo et al., "Can a social robot be persuasive without losing children's trust?," in Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020, 2020, pp. 157-159.
[17]
J. J. J. Hjorth et al., "The microcircuits of striatum in silico," Proceedings of the National Academy of Sciences of the United States of America, vol. 117, no. 17, pp. 9554-9565, 2020.
[18]
H. Pierre et al., "Fluid and kinetic modelling of the magnetized Kelvin-Helmholtz instability," in ETC 2013 - 14th European Turbulence Conference, 2020.
[21]
J. H. Spühler et al., "A High Performance Computing Framework for Finite Element Simulation of Blood Flow in the Left Ventricle of the Human Heart," in Lecture Notes in Computational Science and Engineering, 2020, pp. 155-164.
[22]
W. Der Chien, I. B. Peng and S. Markidis, "Posit NPB : Assessing the precision improvement in HPC scientific applications," in Lecture Notes in Computer Science, 2020, pp. 301-310.
[23]
E. Aurell, R. Kawai and K. Goyal, "An operator derivation of the Feynman-Vernon theory, with applications to the generating function of bath energy changes and to an-harmonic baths," Journal of Physics A : Mathematical and Theoretical, vol. 53, no. 27, 2020.
[24]
Y. Jansson and T. Lindeberg, "MNISTLargeScale dataset," , 2020.
[25]
G. Chen et al., "Event-Based Neuromorphic Vision for Autonomous Driving : A Paradigm Shift for Bio-Inspired Visual Sensing and Perception," IEEE signal processing magazine (Print), vol. 37, no. 4, pp. 34-49, 2020.
[26]
Y. Jansson and T. Lindeberg, "Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges," in ICPR2020 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021, 2020.
[27]
A. Solomonidou et al., "Spectral and emissivity analysis of the raised ramparts around Titan's northern lakes," Icarus (New York, N.Y. 1962), vol. 344, 2020.
[28]
G. Chen et al., "A Novel Visible Light Positioning System With Event-Based Neuromorphic Vision Sensor," IEEE Sensors Journal, vol. 20, no. 17, pp. 10211-10219, 2020.
[29]
L. Finnveden, Y. Jansson and T. Lindeberg, "Understanding when spatial transformer networks do not support invariance, and what to do about it," in ICPR2020 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021, 2020.
[30]
F. Baldassarre et al., "Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks," in European Conference on Computer Vision, ECCV 2020, 2020.
[31]
H. Rezaei et al., "Facilitating the propagation of spiking activity in feedforward networks by including feedback," PloS Computational Biology, vol. 16, no. 8, 2020.
[32]
R. Hollandi et al., "nucleAIzer : A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer," Cell Systems, vol. 10, no. 5, pp. 453-458.e6, 2020.
[33]
A. Podobas, K. Sano and S. Matsuoka, "A Survey on Coarse-Grained Reconfigurable Architectures From a Performance Perspective," IEEE Access, vol. 8, pp. 146719-146743, 2020.
[36]
S. Grillner, B. Robertson and J. Hellgren Kotaleski, "Basal Ganglia-A Motion Perspective," Comprehensive Physiology, vol. 10, no. 4, pp. 1241-1275, 2020.
[37]
M. Lippi et al., "Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation," in International Conference of Intelligent Robots and Systems 2020, 2020.
[39]
E. Aurell, B. Donvil and K. Mallick, "Large deviations and fluctuation theorem for the quantum heat current in the spin-boson model," Physical review. E, vol. 101, no. 5, 2020.
[40]
H.-L. Zeng and E. Aurell, "Inferring genetic fitness from genomic data," Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, vol. 101, no. 5, 2020.
[41]
D. Natesan, "Neuromechanical basis of airflow-dependent antennal positioning in hawkmoths," Doctoral thesis Bangalore, India & Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:62, 2020.
[42]
S. G. N. Grant and E. Fransén, "The Synapse Diversity Dilemma : Molecular Heterogeneity Confounds Studies of Synapse Function," Frontiers in Synaptic Neuroscience, vol. 12, 2020.
[44]
M. Leoni, "Finite Element simulations: computations and applications to aerodynamics and biomedicine," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:66, 2020.
[45]
E. Aurell and J. Tuziemski, "Frohlich-coupled qubits interacting with fermionic baths," Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, vol. 102, no. 1, 2020.
[46]
Z. Wang et al., "Extending the FOTE Method to Three-dimensional Plasma Flow Fields," Astrophysical Journal Supplement Series, vol. 249, no. 1, 2020.
[48]
C. M. Kim, U. Egert and A. Kumar, "Dynamics of multiple interacting excitatory and inhibitory populations with delays," Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, vol. 102, no. 2, 2020.
[49]
L. Ahmed et al., "Predicting target profiles with confidence as a service using docking scores," Journal of Cheminformatics, vol. 12, no. 1, 2020.
[50]
Y. Yu et al., "Optimizing BCPNN Learning Rule for Memory Access," Frontiers in Neuroscience, vol. 14, 2020.
Full list in the KTH publications portal
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Belongs to: Computational Science and Technology
Last changed: Feb 17, 2020