István Gyöngy

发表

A 128×120 5-Wire 1.96mm2 40nm/90nm 3D Stacked SPAD Time Resolved Image Sensor SoC for Microendoscopy

Oscar Almer, Ahmet T. Erdogan, Robert K. Henderson, 2019, 2019 Symposium on VLSI Circuits.

Localization errors in solving stochastic partial differential equations in the whole space

István Gyöngy, Máté Gerencsér, 2017, Math. Comput..

A 128 × 128 SPAD Dynamic Vision-Triggered Time of Flight Imager

Robert K. Henderson, Neale A. W. Dutton, Tarek Al Abbas, 2019, ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC).

An Accelerated Splitting-up Method for Parabolic Equations

Nicolai V. Krylov, István Gyöngy, 2005, SIAM J. Math. Anal..

Restoration of depth and intensity images using a graph laplacian regularization

Ximing Ren, Stephen McLaughlin, Gerald S. Buller, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Single Photon Counting Performance and Noise Analysis of CMOS SPAD-Based Image Sensors

Robert K. Henderson, Neale A. W. Dutton, Luca Parmesan, 2016, Sensors.

First derivatives estimates for finite-difference schemes

Nicolai V. Krylov, István Gyöngy, 2009, Math. Comput..

5.7 A 256×256 40nm/90nm CMOS 3D-Stacked 120dB Dynamic-Range Reconfigurable Time-Resolved SPAD Imager

Robert K. Henderson, Jonathan Leach, Neale A. W. Dutton, 2019, 2019 IEEE International Solid- State Circuits Conference - (ISSCC).

Accelerated Finite Difference Schemes for Linear Stochastic Partial Differential Equations in the Whole Space

Nicolai V. Krylov, István Gyöngy, I. Gyöngy, 2010, SIAM J. Math. Anal..

Accelerated finite difference schemes for second order degenerate elliptic and parabolic problems in the whole space

Nicolai V. Krylov, István Gyöngy, I. Gyöngy, 2009, Math. Comput..

Single-Photon Tracking for High-Speed Vision †

Robert K. Henderson, Neale A. W. Dutton, István Gyöngy, 2018, Sensors.

Robust super-resolution depth imaging via a multi-feature fusion deep network pdf

Robert K. Henderson, Abderrahim Halimi, Stephen McLaughlin, 2020, Optics express.

High Dynamic Range Imaging at the Quantum Limit with Single Photon Avalanche Diode-Based Image Sensors †

Robert K. Henderson, Neale A. W. Dutton, Tarek Al Abbas, 2018, Sensors.

Robust and Guided Super-resolution for Single-Photon Depth Imaging via a Deep Network

Jonathan Leach, Abderrahim Halimi, Stephen McLaughlin, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Real-time, low-cost multi-person 3D pose estimation pdf

Jonathan Leach, Abderrahim Halimi, István Gyöngy, 2021, ArXiv.

High-speed object detection with a single-photon time-of-flight image sensor

Robert K. Henderson, Jonathan Leach, Abderrahim Halimi, 2021, Optics express.

DronePose: The identification, segmentation, and orientation detection of drones via neural networks pdf

István Gyöngy, Stirling Scholes, Alice Ruget, 2021, ArXiv.

On Wong–Zakai approximations with δ–martingales

György Michaletzky, István Gyöngy, 2004, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

On quasi-linear stochastic partial differential equations

Etienne Pardoux, István Gyöngy, I. Gyöngy, 1993 .

On the solvability of degenerate stochastic partial differential equations in Sobolev spaces

István Gyöngy, Máté Gerencsér, I. Gyöngy, 2014, 1404.4401.

On stochastic finite difference schemes

István Gyöngy, I. Gyöngy, 2014 .

On stochastic equations with respect to semimartingales I.

István Gyöngy, I. Gyöngy, N. Krylov, 1980 .

Existence and uniqueness results for semilinear stochastic partial differential equations

István Gyöngy, I. Gyöngy, 1998 .

A note on Euler approximations for SDEs with Hölder continuous diffusion coefficients

Miklós Rásonyi, István Gyöngy, I. Gyöngy, 2011 .

On Discretization Schemes for Stochastic Evolution Equations

Annie Millet, István Gyöngy, I. Gyöngy, 2005, math/0611069.

A Note on Euler's Approximations

István Gyöngy, I. Gyöngy, 1998, Potential Analysis.

Convergence of tamed Euler schemes for a class of stochastic evolution equations

István Gyöngy, David Šiška, Sotirios Sabanis, 2014, Stochastics and Partial Differential Equations: Analysis and Computations.

Rate of Convergence of Space Time Approximations for Stochastic Evolution Equations

Annie Millet, István Gyöngy, I. Gyöngy, 2007, 0706.1404.