Publications
Selected publications by Nikita Araslanov across computer vision, scene understanding, video learning, and 3D visual inference.
Recent
Full list on Google Scholar
RayTun3R: Online Camera Adaptation in 3D Foundation Models
To appear at NeurIPS 2027
Daniil Sinitsyn, Nikita Araslanov and Daniel Cremers
Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners
CVPR
2026
Oral
Nikita Araslanov, Martin Sundermeyer, Hidenobu Matsuki, David Joseph Tan, Federico Tombari
Scene-Centric Unsupervised Video Panoptic Segmentation
CVPR
2026
Christoph Reich*, Oliver Hahn*, Nikita Araslanov, Laura Leal-Taixé, Christian Rupprecht, Daniel Cremers, Stefan Roth
FlowFeat: Pixel-Dense Embedding of Motion Profiles
NeurIPS
2025
Spotlight
Nikita Araslanov, Anna Sonnweber and Daniel Cremers
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
ICCV
2025
Oral, Award Candidate
Weirong Chen, Ganlin Zhang, Felix Wimbauer, Rui Wang, Nikita Araslanov, Andrea Vedaldi and Daniel Cremers
It’s a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data
CVPR
2025
Dominik Schnaus, Nikita Araslanov* and Daniel Cremers* (equal advising)
Scene-Centric Unsupervised Panoptic Segmentation
CVPR
2025
Highlight
Oliver Hahn*, Christoph Reich*, Nikita Araslanov, Daniel Cremers, Christian Rupprecht and Stefan Roth
Older publications (2024 and earlier)
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting
ECCV
2024
Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov and Daniel Cremers
CARLA Drone: Monocular 3D Object Detection from a Different Perspective
GCPR
2024
Oral
Johannes Meier, Luca Scalerandi, Oussema Dhaouadi, Jacques Kaiser, Nikita Araslanov and Daniel Cremers
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball
CVPR
2024
Simon Weber, Barış Zöngür, Nikita Araslanov and Daniel Cremers
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
ICLR
2024
Oral
Sergei Solonets*, Daniil Sinitsyn*, Lukas Von Stumberg, Nikita Araslanov and Daniel Cremers
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals
TMLR
2024
Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer and Stefan Roth