Yigit Baran Can

Orcid: 0000-0003-0508-0575

According to our database1, Yigit Baran Can authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Online Road Network Understanding.
PhD thesis, 2023

Prior Based Online Lane Graph Extraction from Single Onboard Camera Image.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Online Lane Graph Extraction from Onboard Video.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Improving Online Lane Graph Extraction by Object-Lane Clustering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Understanding Bird's-Eye View of Road Semantics Using an Onboard Camera.
IEEE Robotics Autom. Lett., 2022

Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images.
CoRR, 2022

Topology Preserving Local Road Network Estimation from Single Onboard Camera Image.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

End-to-End Learning of Multi-category 3D Pose and Shape Estimation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Understanding Bird's-Eye View Semantic HD-Maps Using an Onboard Monocular Camera.
CoRR, 2020

2019
Towards Spectral Estimation from a Single RGB Image in the Wild.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
An efficient CNN for spectral reconstruction from RGB images.
CoRR, 2018

Learning to Segment Medical Images with Scribble-Supervision Alone.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018


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