In this paper, we propose a novel training strategy called SupFusion, wh...
Semantic segmentation in complex scenes not only relies on local object
...
With recent advances in image-to-image translation tasks, remarkable pro...
This paper introduces a quadrotor's autonomous take-off and landing syst...
Integrating multi-modal data to improve medical image analysis has recei...
Generalized Zero-Shot Learning (GZSL) aims to recognize new categories w...
Removing undesirable specular highlight from a single input image is of
...
This paper presents a fundamental algorithm, called VDB-EDT, for Euclide...
Generalized Zero-Shot Learning (GZSL) targets recognizing new categories...
Recent learning-based approaches show promising performance improvement ...
The environment that the robot operating in is becoming more and more
co...
Recent methods focus on learning a unified semantic-aligned visual
repre...
Unmanned Aerial Vehicles (UAVs) have been implemented for environmental
...
As one of the most promising areas, mobile robots draw much attention th...
In this paper, we propose an integrated framework for the autonomous rob...
Robots are increasingly operating in indoor environments designed for an...