Araslanov, Nikita

13 publications

ICCV 2025 Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction Weirong Chen, Ganlin Zhang, Felix Wimbauer, Rui Wang, Nikita Araslanov, Andrea Vedaldi, Daniel Cremers

NeurIPS 2025 FlowFeat: Pixel-Dense Embedding of Motion Profiles Nikita Araslanov, Anna Ribic, Daniel Cremers

CVPR 2025 It's a (Blind) Match! Towards Vision-Language Correspondence Without Parallel Data Dominik Schnaus, Nikita Araslanov, Daniel Cremers

CVPR 2025 Scene-Centric Unsupervised Panoptic Segmentation Oliver Hahn, Christoph Reich, Nikita Araslanov, Daniel Cremers, Christian Rupprecht, Stefan Roth

ICLR 2024 An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment Sergei Solonets, Daniil Sinitsyn, Lukas Von Stumberg, Nikita Araslanov, Daniel Cremers

TMLR 2024 Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth

ECCV 2024 DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers

CVPR 2024 Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincare Ball Simon Weber, Bar?? Zöngür, Nikita Araslanov, Daniel Cremers

WACV 2024 Masked Event Modeling: Self-Supervised Pretraining for Event Cameras Simon Klenk, David Bonello, Lukas Koestler, Nikita Araslanov, Daniel Cremers

TMLR 2023 Semantic Self-Adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth

NeurIPS 2021 Dense Unsupervised Learning for Video Segmentation Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth

CVPR 2021 Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov, Stefan Roth

ICCVW 2019 Markov Decision Process for Video Generation Vladyslav Yushchenko, Nikita Araslanov, Stefan Roth