Advisor(s):
Andreas Geiger
My research is in the area of Computer Vision and Machine Learning. Currently, I am working on problems related to estimation of 3D motion fields from stereo image sequences.
Website: http://aseembehl.github.io/
Google Scholar: https://scholar.google.de/citations?user=UEivs9sAAAAJ&hl=en
computer vision machine learning
Intelligent systems not only require the relative motion of objects around them \cite{Liu2017IROS}\cite{Liu2018IROS}, but typically also a precise global location \cite{Camposeco2017ICCV} with respect to a map, i.e. for planning or navigation tasks. With LOST \cite{Brubaker2016PAMI}, we have demonstrated that localization solel...
Andreas Geiger Joel Janai Fatma Güney Aseem Behl Laura Sevilla Yiyi Liao Benjamin Coors Moritz Menze Jun Xie
To recover 3D motion \cite{Menze2018JPRS}, we have developed a state-of-the-art 3D scene flow estimation technique which exploits recognition (bounding boxes, instance segmentation and object coordinates) to support the challenging matching task \cite{Behl2017ICCV}.
While great progress has been made in recent years, large...
Behl, A., Jafari, O. H., Mustikovela, S. K., Alhaija, H. A., Rother, C., Geiger, A.
In Proceedings IEEE International Conference on Computer Vision (ICCV), IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (inproceedings)
avg
Janai, J., Güney, F., Behl, A., Geiger, A.
Arxiv, 2017 (article)
avg
Behl, A., Mohapatra, P., Jawahar, C. V., Kumar, M. P.
IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2015 (article)avg
Behl, A., Jawahar, C. V., Kumar, M. P.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2014, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014 (conference)avg
Dokania, P. K., Behl, A., Jawahar, C. V., Kumar, M. P.
International Conference on Computer Vision, 2014 (conference)avg