Appearance-based gaze estimation has been actively studied in recent yea...
Human eye contact is a form of non-verbal communication and can have a g...
Vision transformer has emerged as a new paradigm in computer vision, sho...
In this work, we build recent advances in distributional reinforcement
l...
Accurate and unbiased examinations of skin lesions are critical for earl...
Current semi-supervised semantic segmentation methods mainly focus on
de...
Few-shot segmentation (FSS) aims to segment novel categories given scarc...
Recently, it has attracted more and more attentions to fuse multi-scale
...
Recently, Transformers have shown promising performance in various visio...
Recently, Transformers have shown promising performance in various visio...
Face image animation from a single image has achieved remarkable progres...
Transformers have shown impressive performance in various natural langua...
Adam is a widely used optimization method for training deep learning mod...
Recently, context reasoning using image regions beyond local convolution...
Scene parsing is challenging as it aims to assign one of the semantic
ca...
The multi-domain image-to-image translation is received increasing atten...
There has been substantial research on sub-linear time approximate algor...
Most existing semantic segmentation methods employ atrous convolution to...
Most existing semantic segmentation methods employ atrous convolution to...
The demand of applying semantic segmentation model on mobile devices has...