Team NimbRo Rescue at DARPA Robotics Challenge Finals. - Sven Behnke; Max Schwarz; Tobias Rodehutskors; David Droeschel; Michael Schreiber; Angeliki Topalidou-Kyniazopoulou; David Schwarz; Christian Lenz; Sebastian Schüller; Jan Razlaw; Ivan Ivanov; Nikita Araslanov; et al. (Humanoids, 2015)

Efficient Single-View 3D Co-segmentation Using Shape Similarity and Spatial Part Relations. - Nikita Araslanov; Seongyong Koo; Juergen Gall; Sven Behnke (GCPR, 2016)

NimbRo Rescue: Solving Disaster-response Tasks with the Mobile Manipulation Robot Momaro. - Max Schwarz; Tobias Rodehutskors; David Droeschel; Marius Beul; Michael Schreiber; Nikita Araslanov; Ivan Ivanov; Christian Lenz; Jan Razlaw; Sebastian Schüller; David Schwarz; Angeliki Topalidou-Kyniazopoulou; et al. (J. Field Robotics, 2017)

NimbRo Rescue: Solving Disaster-Response Tasks through Mobile Manipulation Robot Momaro. - Max Schwarz; Tobias Rodehutskors; David Droeschel; Marius Beul; Michael Schreiber; Nikita Araslanov; Ivan Ivanov; Christian Lenz; Jan Razlaw; Sebastian Schüller; David Schwarz; Angeliki Topalidou-Kyniazopoulou; et al. (CoRR, 2018)

Actor-Critic Instance Segmentation. - Nikita Araslanov; Constantin A. Rothkopf; Stefan Roth 001 (CVPR, 2019)

Markov Decision Process for Video Generation. - Vladyslav Yushchenko; Nikita Araslanov; Stefan Roth 001 (ICCV Workshops, 2019)

Single-Stage Semantic Segmentation From Image Labels. - Nikita Araslanov; Stefan Roth 001 (CVPR, 2020)

Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation. - Nikita Araslanov; Stefan Roth 001 (CVPR, 2021)

Dense Unsupervised Learning for Video Segmentation. - Nikita Araslanov; Simone Schaub-Meyer; Stefan Roth 001 (NeurIPS, 2021)

Deep Visual Parsing with Limited Supervision. - Nikita Araslanov (2022)

Semantic Self-adaptation: Enhancing Generalization with a Single Sample. - Sherwin Bahmani; Oliver Hahn 001; Eduard Zamfir; Nikita Araslanov; Daniel Cremers; Stefan Roth 001 (Trans. Mach. Learn. Res., 2023)

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball. - Simon Weber 002; Baris Zöngür; Nikita Araslanov; Daniel Cremers (CVPR, 2024)

CARLA Drone: Monocular 3D Object Detection from a Different Perspective. - Johannes Meier; Luca Scalerandi; Oussema Dhaouadi; Jacques Kaiser; Nikita Araslanov; Daniel Cremers (GCPR (2), 2024)

DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting. - Linus Härenstam-Nielsen; Lu Sang; Abhishek Saroha; Nikita Araslanov; Daniel Cremers (ECCV (73), 2024)

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

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

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar 'e Ball. - Simon Weber 002; Baris Zöngür; Nikita Araslanov; Daniel Cremers (CoRR, 2024)

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals. - Oliver Hahn 001; Nikita Araslanov; Simone Schaub-Meyer; Stefan Roth 001 (Trans. Mach. Learn. Res., 2024)

Scene-Centric Unsupervised Panoptic Segmentation. - Oliver Hahn 001; Christoph Reich; Nikita Araslanov; Daniel Cremers; Christian Rupprecht 001; Stefan Roth 001 (CVPR, 2025)

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

Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction. - Weirong Chen; Ganlin Zhang; Felix Wimbauer; Rui Wang 037; Nikita Araslanov; Andrea Vedaldi; Daniel Cremers (CoRR, 2025)