Current mainstream vision-language (VL) tracking framework consists of t...
Intrathoracic airway segmentation in computed tomography (CT) is a
prere...
In recommendation systems, a large portion of the ratings are missing du...
Lighting effects such as shadows or reflections are key in making synthe...
In this paper, a novel concept called simultaneously transmitting and
re...
Moment retrieval in videos is a challenging task that aims to retrieve t...
We study lossless acceleration for seq2seq generation with a novel decod...
There have been remarkable successes in computer vision with deep learni...
Extracting relational triples from unstructured text is an essential tas...
The research problem in this work is the relaxation of maximizing
non-ne...
Hierarchical text classification is a challenging subtask of multi-label...
We designed two rules of binary quantum computed vote: Quantum Logical V...
Synthetic data construction of Grammatical Error Correction (GEC) for
no...
We mainly focus on the effects of small changes of parameters on the dyn...
Temporal language grounding in videos aims to localize the temporal span...
Although Convolution Neural Networks (CNNs) has made substantial progres...
In this work, we aim to address the challenging task of open set recogni...
We present a single-image data-driven method to automatically relight im...
Recently, distillation approaches are suggested to extract general knowl...
In this paper, we propose Shallow Aggressive Decoding (SAD) to improve t...
Network-structured data becomes ubiquitous in daily life and is growing ...
Interactive single-image segmentation is ubiquitous in the scientific an...
Knowledge distillation has been widely used to produce portable and effi...
Knowledge distillation is a popular paradigm for learning portable neura...
Deep neural networks have made breakthroughs in a wide range of visual
u...
This paper propose a protocol for lottery and a protocol for auction on
...
Relation ties, defined as the correlation and mutual exclusion between
d...
In this paper we propose a protocol of quantum communication to achieve
...
Deep neural networks have achieved state-of-the-art performance in a wid...
Reconfigurable intelligent surface (RIS) technique stands as a promising...
Current semantic segmentation models only exploit first-order statistics...
This article investigates a non-orthogonal multiple access (NOMA) enhanc...
Reconfigurable intelligent surfaces (RISs) constitute a promising perfor...
Low-shot learning indicates the ability to recognize unseen objects base...
We present a corpus of sentence-aligned triples of German audio, German ...
Large intelligent surfaces (LISs) constitute a promising performance
enh...
Learning to recognize novel visual categories from a few examples is a
c...
High storage and computational costs obstruct deep neural networks to be...
This article investigates the non-orthogonal multiple access (NOMA) enha...
This paper advocates a pair of strategies in non-orthogonal multiple acc...
This paper proposes a simple voting scheme based on quantum blockchain.
...
We proposed a framework of quantum-enhanced logic-based blockchain, whic...
We proposed a framework of quantum-enhanced logic-based blockchain, whic...
This article investigates the multiple-input multiple-output (MIMO)
non-...
This letter adopts long short-term memory(LSTM) to predict sea surface
t...