Nikita Araslanov

I'm a postdoc in the Computer Vision Group at TU Munich in Germany. My research focuses on visual scene understanding with limited supervision. Previously, I was a PhD student working at the Visual Inference Lab in TU Darmstadt. I obtained my Master's in Computer Science from University of Bonn. I also hold a Diploma degree in Mechanical Engineering from Moscow Aviation Institute (specialising in jets).

14/09/2022 I successfully defended my PhD thesis "Deep Visual Parsing with Limited Supervision" (summa cum laude).
21/05/2022 Happy to be among outstanding reviewers at CVPR '22.
29/10/2021 I will be joining Daniel Cremers' group at TUM as a postdoc starting January 2022.
28/09/2021 Our paper on unsupervised learning for video object segmentation has been accepted at NeurIPS '21.

SS23

Geometric Scene Understanding (Practical Course, 3SWS)

Details (TBA) | Course page (TBA)

WS22/23

Computer Vision 3: Segmentation, Detection and Tracking (Lecture, 4SWS)

Details | Course page (TUM students only)

	Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers and Stefan Roth European Conference on Computer Vision (ECCV) Workshops, 2022 Workshop paper (short) \| arXiv (preprint, long) \| Code
	Dense Unsupervised Learning for Video Segmentation Nikita Araslanov, Simone Schaub-Meyer and Stefan Roth Advances in Neural Information Processing Systems (NeurIPS), 2021 Paper \| Supplemental \| Code
	Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov and Stefan Roth Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Paper \| Supplemental \| Code
	Single-Stage Semantic Segmentation from Image Labels Nikita Araslanov and Stefan Roth Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Paper \| Supplemental \| Code

Google Scholar

	Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers and Stefan Roth European Conference on Computer Vision (ECCV) Workshops, 2022 Workshop paper (short) \| arXiv (preprint, long) \| Code
	Dense Unsupervised Learning for Video Segmentation Nikita Araslanov, Simone Schaub-Meyer and Stefan Roth Advances in Neural Information Processing Systems (NeurIPS), 2021 Paper \| Supplemental \| Code
	Self-supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov and Stefan Roth Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Paper \| Supplemental \| Code
	Single-Stage Semantic Segmentation from Image Labels Nikita Araslanov and Stefan Roth Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Paper \| Supplemental \| Code

About

News

Teaching

Publications

Semantic Self-adaptation:
Enhancing Generalization with a Single Sample

Dense Unsupervised Learning for Video Segmentation

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Single-Stage Semantic Segmentation from Image Labels

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

Dense Unsupervised Learning for Video Segmentation

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Single-Stage Semantic Segmentation from Image Labels

Semantic Self-adaptation:
Enhancing Generalization with a Single Sample