3 papers
cs.CV2020
Towards Bounding-Box Free Panoptic Segmentation
Ujwal Bonde, Pablo F. Alcantarilla, Stefan Leutenegger
In this work we introduce a new Bounding-Box Free Network (BBFNet) for panoptic segmentation. Panoptic segmentation is an ideal problem for proposal-free methods as it already requ…
cs.CV2018
Weakly supervised learning of indoor geometry by dual warping
Pulak Purkait, Ujwal Bonde, Christopher Zach
A major element of depth perception and 3D understanding is the ability to predict the 3D layout of a scene and its contained objects for a novel pose. Indoor environments are part…
cs.CV2018
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time
Rudra P K Poudel, Ujwal Bonde, Stephan Liwicki +1
Modern deep learning architectures produce highly accurate results on many challenging semantic segmentation datasets. State-of-the-art methods are, however, not directly transfera…