Domain adaptation is essential for activity recognition, as common
spati...
In this paper, we tackle the new task of video-based Activated Muscle Gr...
The increasing use of deep neural networks in safety-critical applicatio...
When reading images, radiologists generate text reports describing the
f...
Dimensionality reduction is crucial both for visualization and preproces...
We study adapting trained object detectors to unseen domains manifesting...
Action segmentation refers to inferring boundaries of semantically consi...
Multispectral images consisting of aligned visual-optical (VIS) and ther...
A good clustering algorithm can discover natural groupings in data. Thes...
Generative adversarial networks has emerged as a defacto standard for im...
Analyzing the story behind TV series and movies often requires understan...
We present a new clustering method in the form of a single clustering
eq...
Access to non-verbal cues in social interactions is vital for people wit...
Person re identification is a challenging retrieval task that requires
m...
Pedestrian attribute inference is a demanding problem in visual surveill...
Cross modal face matching between the thermal and visible spectrum is a ...
Cross modal face matching between the thermal and visible spectrum is a ...