Disease progression simulation is a crucial area of research that has
si...
The future of autonomous vehicles lies in the convergence of human-centr...
Web applications are increasingly becoming the primary platform for AI
s...
Though Transformers have achieved promising results in many computer vis...
Pointly Supervised Object Detection (PSOD) has attracted considerable
in...
We present a method for 3D reconstruction only using calibrated multi-vi...
With the growing model size, deep neural networks (DNN) are increasingly...
The combination of deep learning, artist-curated scans, and Implicit
Fun...
Nowadays, autonomous vehicle technology is becoming more and more mature...
Autism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder...
Automatic infectious disease classification from images can facilitate n...
Accurate motion and depth recovery is important for many robot vision ta...
Chest computed tomography (CT) imaging adds valuable insight in the diag...
Movement and pose assessment of newborns lets experienced pediatricians
...
In this paper, we present Crossing Aggregation Network (CAggNet), a nove...
We combine Adaptive Dynamic Programming (ADP), a reinforcement learning
...
How can we edit or transform the geometric or color property of a point
...
This paper introduces DensePoint, a densely sampled and annotated point ...
Current face alignment algorithms can robustly find a set of landmarks a...