In recent years, neural code translation has gained increasing attention...
Although Deep neural networks (DNNs) have shown a strong capacity to sol...
Although powerful graph neural networks (GNNs) have boosted numerous
rea...
The MultiCoNER II task aims to detect complex, ambiguous, and fine-grain...
Dynamic data flow analysis has been widely used to guide greybox fuzzing...
Existing approaches to system identification (estimating the physical
pa...
Although Deep Neural Networks (DNNs) have shown a strong capacity to sol...
Remote sensing (RS) cross-modal text-image retrieval has attracted exten...
To meet the need of computation-sensitive (CS) and high-rate (HR)
commun...
With the emergence of more and more applications of Internet-of-Things (...
Data augmentation (DA) aims to generate constrained and diversified data...
Mixup is a recent regularizer for current deep classification networks.
...
This paper introduces BFEMP, a new approach for monolithically coupling ...
Testing is the most direct and effective technique to ensure software
qu...
Over a century ago, Ivan P. Pavlov, in a classic experiment, demonstrate...
Unmanned aerial vehicles have been demonstrated successfully in a variet...
Emotion Recognition in Conversations (ERC) is essential for building
emp...
This paper presents a general framework to tackle a diverse range of NP-...
Scene text image contains two levels of contents: visual texture and sem...
In this paper, we study the problem of out-of-distribution detection in ...
Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end
multi...
We propose LETO, a new hybrid Lagrangian-Eulerian method for topology
op...
This paper describes our approach in DSTC 8 Track 4: Schema-Guided Dialo...
Regardless of the usage of deep learning and handcrafted methods, the dy...
In this paper, we study the problem of image recognition with
non-differ...
Video text detection is considered as one of the most difficult tasks in...
In order to deliver high performance in cloud computing, we generally ex...
Wireless rechargeable sensor networks, consisting of sensor nodes with
r...
In this paper, we introduce discrete Calabi flow to the graphics researc...
The problem of polycube construction or deformation is an essential prob...
Nowadays, events usually burst and are propagated online through multipl...
In the area of computer vision, deep learning has produced a variety of
...
Video image datasets are playing an essential role in design and evaluat...