The advances in automatic sign language translation (SLT) to spoken lang...
This paper describes the system developed at the Universitat Politècnica...
Significant progress has been made recently on challenging tasks in auto...
Most research on novel techniques for 3D Medical Image Segmentation (MIS...
The task of video object segmentation with referring expressions
(langua...
Image segmentation methods are usually trained with pixel-level annotati...
Sign Language is the primary means of communication for the majority of ...
This paper presents a study showing the benefits of the EfficientNet mod...
Acquiring abilities in the absence of a task-oriented reward function is...
Methods that move towards less supervised scenarios are key for image
se...
Speech is a rich biometric signal that contains information about the
id...
Evolution Strategies (ES) emerged as a scalable alternative to popular
R...
The increasing amount of online videos brings several opportunities for
...
We present a recurrent model for semantic instance segmentation that
seq...
A fully automatic technique for segmenting the liver and localizing its
...
Recurrent Neural Networks (RNNs) continue to show outstanding performanc...
This paper introduces an unsupervised framework to extract semantically ...
We introduce SalGAN, a deep convolutional neural network for visual sali...
We present a method for performing hierarchical object detection in imag...