2.4k citations · 3.1k across the 11 of their papers we have counts for
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Prototypical Priors: From Improving Classification to Zero-Shot Learning
Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana +1
Recent works on zero-shot learning make use of side information such as visual attributes or natural language semantics to define the relations between output visual classes and th…
Recurrent Instance Segmentation
Bernardino Romera-Paredes, Philip H. S. Torr
Instance segmentation is the problem of detecting and delineating each distinct object of interest appearing in an image. Current instance segmentation approaches consist of ensemb…
The Benefit of Multitask Representation Learning
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
We discuss a general method to learn data representations from multiple tasks. We provide a justification for this method in both settings of multitask learning and learning-to-lea…
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes +5
Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have attempted to harness the capabilities of deep learnin…