Traditional neural machine translation (NMT) systems often fail to trans...
The rapid growth of research publications has placed great demands on di...
The feasibility-seeking approach provides a systematic scheme to manage ...
Multimodal sentiment analysis is an important research task to predict t...
While attention has been an increasingly popular component in deep neura...
Objective: The next generation prosthetic hand that moves and feels like...
This paper presents a generalized construction of RS-SPC product codes. ...
This paper presents a novel open-domain dialogue generation model emphas...
Objective: Deep learning-based neural decoders have emerged as the promi...
Video quality assessment (VQA) is an important problem in computer visio...
Currently, most image quality assessment (IQA) models are supervised by ...
While attention has been an increasingly popular component in deep neura...
The last decades have seen great progress in saliency prediction, with t...
Few-shot object detection aims at detecting objects with few annotated
e...
One important property of imaging modalities and related applications is...
With the rapid growth of research publications, there is a vast amount o...
The demand for flexible broadband wireless services makes the pruning
te...
Turbo codes and CRC codes are usually decoded separately according to th...
Unlike the constraint frontal face condition, faces in the wild have var...
Popular metrics used for evaluating image captioning systems, such as BL...
This paper presents a new metric called TIGEr for the automatic evaluati...
Quality assessment of in-the-wild videos is a challenging problem becaus...
Blind image deblurring is a challenging problem in computer vision, whic...
In this paper, we consider using deep neural network for OFDM symbol
det...
Instance-level human analysis is common in real-life scenarios and has
m...
Tone mapping operators and multi-exposure fusion methods allow us to enj...
To guarantee a satisfying Quality of Experience (QoE) for consumers, it ...
In this paper, a neural network-aided bit-interleaved coded modulation
(...
Fully convolutional neural network (FCN) has been dominating the game of...