Apratim Bhattacharyya (PhD Student)

Apratim Bhattacharyya

Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
E1 4 - Room 627
+49 681 9325 2027
+49 681 9325 2099
Get email via email

Personal Information


  • 2016-present, Ph.D. candidate in Computer Science, Max Planck Institute for Informatics, Germany
  • 2014-2016, M.Sc.(Honors Degree) in Computer Science, Saarland University, Germany
  • 2010-2014, B.Tech. in Computer Engineering, National Institute of Technology, Karnataka, India


Efficiently Summarising Event Sequences with Rich Interleaving Patterns
A. Bhattacharyya and J. Vreeken
Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM 2017), 2017
(Accepted/in press)
Long Term Boundary Extrapolation for Deterministic Motion
A. Bhattacharyya, M. Malinowski and M. Fritz
NIPS Workshop on Intuitive Physics, 2016
Long-Term Image Boundary Extrapolation
A. Bhattacharyya, M. Malinowski, B. Schiele and M. Fritz
Technical Report, 2016
(arXiv: 1611.08841)
Boundary prediction in images and videos has been a very active topic of research and organizing visual information into boundaries and segments is believed to be a corner stone of visual perception. While prior work has focused on predicting boundaries for observed frames, our work aims at predicting boundaries of future unobserved frames. This requires our model to learn about the fate of boundaries and extrapolate motion patterns. We experiment on established real-world video segmentation dataset, which provides a testbed for this new task. We show for the first time spatio-temporal boundary extrapolation, that in contrast to prior work on RGB extrapolation maintains a crisp result. Furthermore, we show long-term prediction of boundaries in situations where the motion is governed by the laws of physics. We argue that our model has with minimalistic model assumptions derived a notion of "intuitive physics".