Deep Domain Adaptation for Facial Expression Analysis. - Nikolai Kalischek; Patrick Thiam; Peter Bellmann; Friedhelm Schwenker (ACII Workshops, 2019)

In the Light of Feature Distributions: Moment Matching for Neural Style Transfer. - Nikolai Kalischek; Jan D. Wegner; Konrad Schindler (CVPR, 2021)

Global canopy height estimation with GEDI LIDAR waveforms and Bayesian deep learning. - Nico Lang; Nikolai Kalischek; John Armston; Konrad Schindler; Ralph Dubayah; Jan Dirk Wegner (CoRR, 2021)

Satellite-based high-resolution maps of cocoa planted area for Côte d'Ivoire and Ghana. - Nikolai Kalischek; Nico Lang; Cécile Renier; Rodrigo Caye Daudt; Thomas Addoah; William Thompson; Wilma J. Blaser-Hart; Rachael Garrett; Konrad Schindler; Jan D. Wegner (CoRR, 2022)

Tetrahedral Diffusion Models for 3D Shape Generation. - Nikolai Kalischek; Torben Peters; Jan D. Wegner; Konrad Schindler (CoRR, 2022)

BiasBed - Rigorous Texture Bias Evaluation. - Nikolai Kalischek; Rodrigo Caye Daudt; Torben Peters; Reinhard Furrer; Jan D. Wegner; Konrad Schindler (CVPR, 2023)

TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation. - Nikolai Kalischek; Torben Peters; Jan D. Wegner; Konrad Schindler (ECCV (53), 2024)

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation. - Nikolai Kalischek; Michael Oechsle; Fabian Manhardt; Philipp Henzler; Konrad Schindler; Federico Tombari (ICLR, 2025)