DeepFakes have raised serious societal concerns, leading to a great surg...
We consider the problem of fair allocation of m indivisible items to a
g...
In view of the classical visual servoing trajectory planning method whic...
Query categorization at customer-to-customer e-commerce platforms like
F...
We study how to fairly allocate a set of indivisible chores to a group o...
Opponent modeling has benefited a controlled agent's decision-making by
...
Recent studies in using deep reinforcement learning (DRL) to solve Job-s...
Inducing semantic representations directly from speech signals is a high...
We propose a manager-worker framework based on deep reinforcement learni...
High dynamic range (HDR) imaging is a fundamental problem in image
proce...
Massive practical works addressed by Deep Q-network (DQN) algorithm have...
This study investigates whether the phonological features derived from t...
In this study, we tackle massively multilingual grapheme-to-phoneme
conv...
Field of view (FoV) prediction is critical in 360-degree video multicast...
Transformer plays an increasingly important role in various computer vis...
The task of phone-to-audio alignment has many applications in speech
res...
This study investigates whether phonological features can be applied in
...
Generating synthesised singing voice with models trained on speech data ...
In recent years, the advent of deep learning-based techniques and the
si...
Face-to-face speech data collection has been next to impossible globally...
Speech enhancement is an essential task of improving speech quality in n...
Audio-visual speech enhancement system is regarded to be one of promisin...
The purpose of speech enhancement is to extract target speech signal fro...
With the advanced imaging technology, digital pathology imaging of tumor...
Medical imaging is a form of technology that has revolutionized the medi...
The optimal charging infrastructure planning problem over a large geospa...
Priority dispatching rule (PDR) is widely used for solving real-world
Jo...
Inverse Distance Weighted models (IDW) have been widely used for predict...
Point cloud video is the most popular representation of hologram, which ...
The state-of-the-art performance for object detection has been significa...
Finetuning from a pretrained deep model is found to yield state-of-the-a...