3 papers
cs.CV2022
TableFormer: Table Structure Understanding with Transformers
Ahmed Nassar, Nikolaos Livathinos, Maksym Lysak +1
Tables organize valuable content in a concise and compact representation. This content is extremely valuable for systems such as search engines, Knowledge Graph's, etc, since they…
cs.CV2020
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre +1
In this paper we propose an end-to-end learnable approach that detects static urban objects from multiple views, re-identifies instances, and finally assigns a geographic position…
cs.LG2019
Simultaneous multi-view instance detection with learned geometric soft-constraints
Ahmed Samy Nassar, Sebastien Lefevre, Jan D. Wegner
We propose to jointly learn multi-view geometry and warping between views of the same object instances for robust cross-view object detection. What makes multi-view object instance…