122 citations · 151 across the 5 of their papers we have counts for
6 papers
Straight to Shapes++: Real-time Instance Segmentation Made More Accurate
Laurynas Miksys, Saumya Jetley, Michael Sapienza +2
Instance segmentation is an important problem in computer vision, with applications in autonomous driving, drone navigation and robotic manipulation. However, most existing methods…
With Friends Like These, Who Needs Adversaries?
Saumya Jetley, Nicholas A. Lord, Philip H. S. Torr
The vulnerability of deep image classification networks to adversarial attack is now well known, but less well understood. Via a novel experimental analysis, we illustrate some fac…
Learn To Pay Attention
Saumya Jetley, Nicholas A. Lord, Namhoon Lee +1
We propose an end-to-end-trainable attention module for convolutional neural network (CNN) architectures built for image classification. The module takes as input the 2D feature ve…
End-to-End Saliency Mapping via Probability Distribution Prediction
Saumya Jetley, Naila Murray, Eleonora Vig
Most saliency estimation methods aim to explicitly model low-level conspicuity cues such as edges or blobs and may additionally incorporate top-down cues using face or text detecti…
Straight to Shapes: Real-time Detection of Encoded Shapes
Saumya Jetley, Michael Sapienza, Stuart Golodetz +1
Current object detection approaches predict bounding boxes, but these provide little instance-specific information beyond location, scale and aspect ratio. In this work, we propose…
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…