Aseem Behl

Doctoral Researcher

Bio:

I am a doctoral research student at Max Planck Institute (MPI) for Intelligent Systems, Tübingen. I work on problems related to 3D Instance Segmentation of Dynamic Scenes with research group leader Dr. Andreas Geiger at the Autonomous Vision Group. Before joining MPI, I was a Masters student at IIIT, Hyderabad. My masters research was focused on design of learning algorithms for structured output SVM. I worked with Prof. M Pawan Kumar at Center for Visual Computing, Ecole Centrale Paris and Prof. Jawahar at the Centre for Visual Information Technology.

Publications:

Optimizing Average Precision using Weakly Supervised Data. In Pattern Analysis and Machine Intelligence (PAMI), 2015. Aseem Behl, Pritish Mohapatra, C. V. Jawahar and M. Pawan Kumar.
Optimizing Average Precision using Weakly Supervised Data. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. Aseem Behl, C. V. Jawahar and M. Pawan Kumar.
Learning to Rank using High-Order Information. In Proceedings of the European Conference on Computer Vision (ECCV), 2014. Puneet K. Dokania, A. Behl, C. V. Jawahar, M. Pawan Kumar.
A Corpus Linguistic Study of Bollywood Song Lyrics in the Framework of Complex Network. Proceedings of International Conference on NLP (ICON-2011). Chennai. 2011. Aseem Behl and Monojit Chowdhury.

Address:

Autonomous Vision Group
MPI Tübingen
Spemanstraße 41
72076 Tübingen 

Contact:

Email: firstname DOT lastname AT g m a i l . c o m [Remove the spaces]