Jan Hosang

Affiliations:
  • Max Planck Institute for Informatics


According to our database1, Jan Hosang authored at least 18 papers between 2008 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
TUSK: Task-Agnostic Unsupervised Keypoints.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
COTR: Correspondence Transformer for Matching Across Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Efficient Large Scale Inlier Voting for Geometric Vision Problems.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2018
Towards Reaching Human Performance in Pedestrian Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017
Analysis and improvement of the visual object detection pipeline.
PhD thesis, 2017

Learning Non-maximum Suppression.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Simple Does It: Weakly Supervised Instance and Semantic Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
What Makes for Effective Detection Proposals?
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Weakly Supervised Semantic Labelling and Instance Segmentation.
CoRR, 2016

A Convnet for Non-maximum Suppression.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

How Far are We from Solving Pedestrian Detection?
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
GyroPen: Gyroscopes for Pen-Input With Mobile Phones.
IEEE Trans. Hum. Mach. Syst., 2015

Taking a deeper look at pedestrians.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Ten Years of Pedestrian Detection, What Have We Learned?
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

How good are detection proposals, really?.
Proceedings of the British Machine Vision Conference, 2014

2010
An Evaluation of Two Automatic Landmark Building Discovery Algorithms for City Reconstruction.
Proceedings of the Trends and Topics in Computer Vision, 2010

2008
Data-Mining-Cup 2007.
Inform. Spektrum, 2008


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