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Nikita Araslanov
Nikita Araslanov
Postdoc, TU Munich
Bestätigte E-Mail-Adresse bei tum.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Single-stage semantic segmentation from image labels
N Araslanov, S Roth
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2242020
Self-supervised augmentation consistency for adapting semantic segmentation
N Araslanov, S Roth
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2212021
NimbRo Rescue: Solving disaster-response tasks through mobile manipulation robot Momaro
M Schwarz, T Rodehutskors, D Droeschel, M Beul, M Schreiber, ...
Journal of Field Robotics 34 (2), 400-425, 2017
1642017
Dense unsupervised learning for video segmentation
N Araslanov, S Schaub-Meyer, S Roth
Advances in neural information processing systems 34, 25308-25319, 2021
282021
Actor-critic instance segmentation
N Araslanov, CA Rothkopf, S Roth
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
182019
Markov decision process for video generation
V Yushchenko, N Araslanov, S Roth
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
162019
DRC team NimbRo Rescue: Perception and control for centaur-like mobile manipulation robot Momaro
M Schwarz, M Beul, D Droeschel, T Klamt, C Lenz, D Pavlichenko, ...
The DARPA robotics challenge finals: humanoid robots to the rescue, 145-190, 2018
142018
Masked event modeling: Self-supervised pretraining for event cameras
S Klenk, D Bonello, L Koestler, N Araslanov, D Cremers
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
72024
Team NimbRo rescue at DARPA robotics challenge finals
S Behnke, M Schwarz, T Rodehutskors, D Droeschel, M Schreiber, ...
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
32015
Semantic self-adaptation: Enhancing generalization with a single sample
S Bahmani, O Hahn, E Zamfir, N Araslanov, D Cremers, S Roth
arXiv preprint arXiv:2208.05788, 2022
22022
Efficient single-view 3d co-segmentation using shape similarity and spatial part relations
N Araslanov, S Koo, J Gall, S Behnke
German Conference on Pattern Recognition, 297-308, 2016
22016
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball
S Weber, B Zöngür, N Araslanov, D Cremers
arXiv preprint arXiv:2404.03778, 2024
2024
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
S Solonets, D Sinitsyn, L Von Stumberg, N Araslanov, D Cremers
The Twelfth International Conference on Learning Representations, 2023
2023
Deep Visual Parsing with Limited Supervision
N Araslanov
Technische Universität Darmstadt, 2022
2022
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