Efficient Segment Anything with Depth-Aware Fusion and Limited Training Data Permalink
Y. Zhou, X. Xie, P. Li, A. Kunz, A. Osman, and X. Maldague. (2026). "Efficient Segment Anything with Depth-Aware Fusion and Limited Training Data." ICASSP 2026.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Integrating AI in NDE: Techniques, Trends, and Further Directions Permalink
E. Pérez, C. E. Ardıç, O. Çakıroğlu, K. Jacob, S. Kodera, L. Pompa, M. Rachid, et al. (2025). "Integrating AI in NDE: Techniques, Trends, and Further Directions." NDT & E International, 156, 103442.
Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments Permalink
M. Li, Y. Zhou, H. Zhou, X. Hu, F. Römer, H. Wang, and A. Osman. (2025). "Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments." IEEE International Conference on Robotics and Automation (ICRA), 14572.
DIGIBAUEN-System zur digitalen CAD-Modellerfassung und Zustandsdokumentation von Bauprojekten Permalink
Y. Zhou, M. Willms, A. Osman, and A. Kunz. (2025). "DIGIBAUEN-System zur digitalen CAD-Modellerfassung und Zustandsdokumentation von Bauprojekten." Hannover: Technische Informationsbibliothek.
DDN-SLAM: Real-Time Dense Dynamic Neural Implicit SLAM Permalink
M. Li, Z. Guo, T. Deng, Y. Zhou, Y. Ren, and H. Wang. (2025). "DDN-SLAM: Real-Time Dense Dynamic Neural Implicit SLAM." IEEE Robotics and Automation Letters.
Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation Permalink
Z. Li, B. Guan, Y. Wei, Y. Zhou, J. Zhang, and J. Xu. (2024). "Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation."
Jointly Learning Selection Matrices for Transmitters, Receivers and Fourier Coefficients in Multichannel Imaging Permalink
H. Wang, Y. Zhou, E. Pérez, and F. Römer. (2024). "Jointly Learning Selection Matrices for Transmitters, Receivers and Fourier Coefficients in Multichannel Imaging." ICASSP 2024.
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods Permalink
Y. Zhou, Z. Zeng, A. Chen, X. Zhou, H. Ni, S. Zhang, P. Li, L. Liu, M. Zheng, et al. (2024). "Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods."
Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks Permalink
P. Li, M. Abouelenien, R. Mihalcea, Z. Ding, Q. Yang, and Y. Zhou. (2024). "Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks."
Semantic Wireframe Detection Permalink
Y. Zhou, A. Osman, M. Willms, A. Kunz, S. Philip, J. Blatt, and S. Eul. (2023). "Semantic Wireframe Detection." German Society for Non-Destructive Testing (DGZfP), P17.
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams