Lev Markhasin

According to our database1, Lev Markhasin authored at least 11 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
QMC integration based on arbitrary (t,m,s)-nets yields optimal convergence rates on several scales of function spaces.
CoRR, 2024

DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DPHMs: Diffusion Parametric Head Models for Depth-Based Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis.
CoRR, 2023

2022
Neural Shape Deformation Priors.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TAFIM: Targeted Adversarial Attacks Against Facial Image Manipulations.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Spatial Cross-Attention RGB-D Fusion Module for Object Detection.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

2020
Adversarial Learning of Mappings Onto Regularized Spaces for Biometric Authentication.
IEEE Access, 2020

2016
Optimal quasi-Monte Carlo rules on order 2 digital nets for the numerical integration of multivariate periodic functions.
Numerische Mathematik, 2016

2013
Quasi-Monte Carlo methods for integration of functions with dominating mixed smoothness in arbitrary dimension.
J. Complex., 2013

2011
On lower bounds for the L<sub>2</sub>-discrepancy.
J. Complex., 2011


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