Jan Hosang (PhD Student)

Personal Information

Research Interests

  • Computer Vision (object recognition and localization)
  • Machine Learning (deep learning)

 

Research Projects

 

For more and more recent information, please visit my personal homepage (or Google Scholar, GitHub, arXiv).

 

Publications

2018

  1. Article
    D2
    “Towards Reaching Human Performance in Pedestrian Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 4, 2018.

2017

  1. Conference paper
    D2
    “Learning Non-maximum Suppression,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  2. Conference paper
    D2
    “Simple Does It: Weakly Supervised Instance and Semantic Segmentation,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  3. Thesis
    D2IMPR-CS
    “Analysis and Improvement of the Visual Object Detection Pipeline,” Universität des Saarlandes, Saarbrücken, 2017.

2016

  1. Conference paper
    D2
    “How Far are We from Solving Pedestrian Detection?,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  2. Article
    D2
    “What Makes for Effective Detection Proposals?,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 4, 2016.
  3. Conference paper
    D2
    “A Convnet for Non-maximum Suppression,” in Pattern Recognition (GCPR 2016), Hannover, Germany, 2016.

2015

  1. Conference paper
    D2
    “Taking a Deeper Look at Pedestrians,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, MA, USA, 2015.
  2. Article
    D2
    “GyroPen: Gyroscopes for Pen-Input with Mobile Phones,” IEEE Transactions on Human-Machine Systems, vol. 45, no. 2, 2015.
  3. Paper
    D2
    “What Makes for Effective Detection Proposals?,” 2015. [Online]. Available: http://arxiv.org/abs/1502.05082.

2014

  1. Conference paper
    D2
    “Ten Years of Pedestrian Detection, What Have We Learned?,” in Computer Vision - ECCV 2014 Workshops (ECCV 2014 Workshop CVRSUAD), Zürich, Switzerland, 2015.
  2. Conference paper
    D2
    “How Good are Detection Proposals, really?,” in Proceedings of the British Machine Vision Conference (BMVC 2014), Nottingham, UK, 2014.