On lower bounds for the L2-discrepancy. - Aicke Hinrichs; Lev Markhasin (J. Complex., 2011)

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

Optimal quasi-Monte Carlo rules on order 2 digital nets for the numerical integration of multivariate periodic functions. - Aicke Hinrichs; Lev Markhasin; Jens Oettershagen; Tino Ullrich (Numerische Mathematik, 2016)

Adversarial Learning of Mappings Onto Regularized Spaces for Biometric Authentication. - Arslan Ali; Matteo Testa; Lev Markhasin; Tiziano Bianchi; Enrico Magli (IEEE Access, 2020)

Spatial Cross-Attention RGB-D Fusion Module for Object Detection. - Shangyin Gao; Lev Markhasin; Bi Wang (MMSP, 2021)

TAFIM: Targeted Adversarial Attacks Against Facial Image Manipulations. - Shivangi Aneja; Lev Markhasin; Matthias Nießner (ECCV (14), 2022)

Neural Shape Deformation Priors. - Jiapeng Tang; Lev Markhasin; Bi Wang; Justus Thies; Matthias Nießner (NeurIPS, 2022)

DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis. - Jiapeng Tang; Yinyu Nie; Lev Markhasin; Angela Dai; Justus Thies; Matthias Nießner (CoRR, 2023)

DPHMs: Diffusion Parametric Head Models for Depth-Based Tracking. - Jiapeng Tang; Angela Dai; Yinyu Nie; Lev Markhasin; Justus Thies; Matthias Nießner (CVPR, 2024)

DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis. - Jiapeng Tang; Yinyu Nie; Lev Markhasin; Angela Dai; Justus Thies; Matthias Nießner (CVPR, 2024)

QMC integration based on arbitrary (t,m,s)-nets yields optimal convergence rates on several scales of function spaces. - Michael Gnewuch; Josef Dick; Lev Markhasin; Winfried Sickel (CoRR, 2024)

EgoAnimate: Generating Human Animations from Egocentric top-down Views. - G. Kutay Türkoglu; Julian Tanke; Iheb Belgacem; Lev Markhasin (CoRR, 2025)