Recent years have witnessed many successful trials in the robot learning...
The UNet architecture, based on Convolutional Neural Networks (CNN), has...
The main challenge in video question answering (VideoQA) is to capture a...
To address 3D object retrieval, substantial efforts have been made to
ge...
Ordinal regression refers to classifying object instances into ordinal
c...
In this technical report, we present our findings from a study conducted...
This paper explores the task of radiology report generation, which aims ...
Medical dialogue systems (MDS) aim to provide patients with medical serv...
In this report, we present the technical details of our submission to th...
Recent approaches to empathetic response generation incorporate emotion
...
Risk and sparsity requirements often need to be enforced simultaneously ...
Providing Emotional Support (ES) to soothe people in emotional distress ...
In this report, we present the technical details of our approach to the
...
Deep neural networks generally perform poorly with datasets that suffer ...
With the rise of telemedicine, the task of developing Dialogue Systems f...
Developers often search and reuse existing code snippets in the process ...
Cascade SVM (CSVM) can group datasets and train subsets in parallel, whi...
This paper explores the task of Difficulty-Controllable Question Generat...
For text-level discourse analysis, there are various discourse schemes b...
Due to the absence of labeled data, discourse parsing still remains
chal...
6D object pose estimation is widely applied in robotic tasks such as gra...
Stochastic gradient descent (Sgd) methods are the most powerful
optimiza...
Despite the remarkable progress in face recognition related technologies...