Prof. Dr Carsten Rother

Head of Computer Vision and Learning Lab

Email: Carsten.Rother (to be completed with ‘@iwr.uni-heidelberg.de’)
Address: HCI, Universität Heidelberg Berliner Str. 43, D-69120 Heidelberg
Room: Mathematikon B 3/112
Phone: +49 (62 21) 54 14855

Background:

Carsten Rother received his diploma degree with distinction in 1999 from the University of Karlsruhe/Germany, and his PhD degree in 2003 from the Royal Institute of Technology (KTH) Stockholm/Sweden. From 2003 until 2013 he was researcher in the Computer Vision Group at Microsoft Research Cambridge/UK, lead by Andrew Blake. From 2014 until 2017 he was full Professor at TU Dresden/Germany. Since 2017 he is full Professor at Uni Heidelberg/Germany, heading the Computer Vision and Learning Lab. He is also coordinating director of the Heidelberg Collaboratory for Image Processing (HCI) and an AI consultant for companies. In the last years, two start-ups emerged from his lab https://rabbitai.de/ and https://www.copresence.tech/. His research interests are in the field of computer vision and machine learning, including related fields such as human-computer interaction and computational imaging. He has been working on a broad range of applications, such as image generation, image editing (incl. image segmentation, alpha matting, and deconvolution), image matching (incl. stereo matching, and scene flow), scene understanding (incl. 6D object pose estimation), and Bio-Imaging (incl. cell tracking). He has published over 270 articles (current H-index 93) at international conferences and journals. He received eight awards, including awards at CVPR ’13, CVPR ’05, CHI ’07, BMVC ’16 and ACCV ’14. He was awarded the DAGM Olympus prize in 2009. He has co-developed two Microsoft Products, GrabCut for Office 2010 and AutoCollage. He received prestigious funding awards, such as an ERC Consolidator Grant. He serves as area chair for major conferences and he has been associated editor for T-PAMI.

My personal top-10 publications:

  • C. Rother, V. Kolmogorov, and A. Blake. GrabCut – Interactive Foreground Extraction using Iterated
    Graph Cuts. Siggraph, ACM ToG, 2004
  • A. Kirillov, K. He, R. Girshick, C. Rother, P. Dollár. Panoptic Segmentation. Computer Vision and Pattern Recognition (CVPR) 2019
  • E. Brachmann, A. Krull, S. Nowozin, J. Shotton, F. Michel, S. Gumhold, C. Rother. DSAC – Differentiable RANSAC for Camera Localization. Computer Vision and Pattern Recognition (CVPR) 2017
  • M. Bleyer, C. Rhemann, and C. Rother. PatchMatch Stereo – Stereo Matching with Slanted Support Windows. British Machine Vision Conference (BMVC) 2011
  • J. Shotton, J. Winn, C. Rother, and A. Criminisi. TextonBoost: Joint Appearance, Shape and
    Context Modeling for Mulit-Class Object Recognition and Segmentation. European Conference Computer Vision (ECCV) 2006
  • C. Rother, V. Kolmogorov, V. Lempitsky, and M. Szummer. Optimizing Binary MRFs via Extended
    Roof Duality. Computer Vision and Pattern Recognition (CVPR) 2007
  • C. Rother, T. Minka, A. Blake, V. Kolmogorov. Cosegmentation of Image Pairs by Histogram Matching – Incorporating a Global Constraint into MRFs. Computer Vision and Pattern Recognition (CVPR) 2006
  • D. Kainmueller, F. Jug, C. Rother, and G. Myers. Active Graph Matching for Automatic Joint
    Segmentation and Annotation of C. elegans, Medical Image Computing and Computer Assisted Interventions Conferenc (MICCAI) 2014
  • V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, and C. Rother. Bi-layer segmentation of binocular
    stereo video. Computer Vision and Pattern recognition (CVPR) 2005
  • C. Rother, L. Bordeaux, Y. Hamadi, and A. Blake, AutoCollage. Siggraph, ACM ToG, 2006