We study the problem of outlier correspondence pruning for non-rigid poi...
Wound image segmentation is a critical component for the clinical diagno...
We present an approach to learn voice-face representations from the talk...
We study the problem of extracting accurate correspondences for point cl...
High quality labeled datasets have allowed deep learning to achieve
impr...
As an important component of multimedia analysis tasks, audio classifica...
Rapid progress has been made in the field of reading comprehension and
q...
This paper considers the reading comprehension task in which multiple
do...
Open-domain targeted sentiment analysis aims to detect opinion targets a...
Real-time generic object detection on mobile platforms is a crucial but
...
Despite that current reading comprehension systems have achieved signifi...
Machine reading comprehension with unanswerable questions aims to abstai...
Motivated by the fact that characteristics of different sound classes ar...
Motivated by the fact that characteristics of different sound classes ar...
Depthwise convolutions provide significant performance benefits owing to...
Deep learning has dramatically improved the performance of sounds
recogn...
Compact neural networks are inclined to exploit "sparsely-connected"
con...
We present Fast-Downsampling MobileNet (FD-MobileNet), an efficient and
...
In this paper, we introduce the Reinforced Mnemonic Reader for machine
c...
In recent years, dynamically growing data and incrementally growing numb...