Object detection in low-light scenarios has attracted much attention in ...
Multi-exposure image fusion (MEF) has emerged as a prominent solution to...
Monocular 3D object detection plays a pivotal role in the field of auton...
The detection of small infrared targets against blurred and cluttered
ba...
In recent times, learning-based methods for video deraining have demonst...
Photographs taken with less-than-ideal exposure settings often display p...
Misalignments between multi-modality images pose challenges in image fus...
Infrared and visible image fusion is a powerful technique that combines
...
Recently, there has been a growing interest in constructing deep learnin...
Multi-modality image fusion and segmentation play a vital role in autono...
Enhancing images in low-light scenes is a challenging but widely concern...
Real-world complex acoustic environments especially the ones with a low
...
3D object detection plays a crucial role in numerous intelligent vision
...
Recently, multi-modality scene perception tasks, e.g., image fusion and ...
The MultiCoNER II task aims to detect complex, ambiguous, and fine-grain...
Wav2vec 2.0 (W2V2) has shown impressive performance in automatic speech
...
It is difficult for an end-to-end (E2E) ASR system to recognize words su...
Improving the visual quality of the given degraded observation by correc...
Underwater image enhancement has become an attractive topic as a signifi...
More and more attention has been paid to the segmentation of pulmonary
n...
Customized keyword spotting (KWS) has great potential to be deployed on ...
Leveraging context information is an intuitive idea to improve performan...
Recent studies have shown that the benefits provided by self-supervised
...
Existing low-light image enhancement techniques are mostly not only diff...
Automatic speech recognition (ASR) systems used on smart phones or vehic...
Recently, end-to-end automatic speech recognition models based on
connec...
Conversational automatic speech recognition (ASR) is a task to recognize...
Recently, self-supervised pretraining has achieved impressive results in...
Enhancing the quality of low-light images plays a very important role in...
Images captured from low-light scenes often suffer from severe degradati...
Recently, self-supervised pre-training has gained success in automatic s...
Recently self-supervised learning has emerged as an effective approach t...
Nowadays voice search for points of interest (POI) is becoming increasin...
End-to-end models are favored in automatic speech recognition (ASR) beca...
This paper proposes an extremely lightweight phone-based transducer mode...
Low-light image enhancement plays very important roles in low-level visi...
The attention mechanism of the Listen, Attend and Spell (LAS) model requ...
Enhancing visual qualities for underexposed images is an extensively
con...
Classical optimization techniques often formulate the feasibility of the...
We in this paper propose a realizable framework TECU, which embeds
task-...
Enhancing visual qualities of images plays very important roles in vario...
Fast and cheaper next generation sequencing technologies will generate
u...