RGB-guided depth completion aims at predicting dense depth maps from spa...
Large language models (LLMs) have shown remarkable capacity for in-conte...
Previous raw image-based low-light image enhancement methods predominant...
Low-light image enhancement task is essential yet challenging as it is
i...
Robot-assisted dressing could benefit the lives of many people such as o...
While raw images have distinct advantages over sRGB images, e.g., linear...
The increasingly popular adoption of source code in many critical tasks
...
Dialogue systems have been widely applied in many scenarios and are now ...
This paper discusses the results for the second edition of the Monocular...
Video captioning aims to describe the content of videos using natural
la...
Recent deep-learning-based compression methods have achieved superior
pe...
Deep neural networks are likely to fail when the test data is corrupted ...
While raw images exhibit advantages over sRGB images (e.g., linearity an...
Simulating the effects of skincare products on face is a potential new w...
A protector is placed in front of the camera lens for mobile devices to ...
Let r≥ 3 be any positive integer which is relatively prime to p and
q^2≡...
Let r≥ 3 be a positive integer and 𝔽_q the finite field with
q elements....
Negotiation is one of the crucial abilities in human communication, and ...
Point clouds are a widely available and canonical data modality which co...
LiDAR depth-only completion is a challenging task to estimate dense dept...
Physical interaction with textiles, such as assistive dressing, relies o...
Since the outbreak of COVID-19, it has rapidly evolved into a sudden and...
Robotic manipulation of highly deformable cloth presents a promising
opp...
This paper describes our champion solution for the CVPR2022 Generic Even...
This report presents the algorithm used in the submission of Generic Eve...
This paper focuses on text data augmentation for few-shot NLP tasks. The...
Generic Event Boundary Detection (GEBD) aims to detect moments where hum...
This paper focuses on the Data Augmentation for low-resource Natural Lan...
Recently, scene text detection has been a challenging task. Texts with
a...
We address the problem of goal-directed cloth manipulation, a challengin...
Learning the generalizable feature representation is critical for few-sh...
To enhance low-light images to normally-exposed ones is highly ill-posed...
Domain generalization aims to learn an invariant model that can generali...
Optical Coherence Tomography Angiography (OCTA) is a non-invasive and
no...
Though convolutional neural networks are widely used in different tasks,...
Robotic manipulation of cloth remains challenging for robotics due to th...
Deep neural networks (DNN) have demonstrated unprecedented success for
m...
Manipulating deformable objects has long been a challenge in robotics du...
Current image-based reinforcement learning (RL) algorithms typically ope...
Imitation learning is well-suited for robotic tasks where it is difficul...
Recently, we have witnessed great progress in the field of medical imagi...
Deep neural networks (DNN) have shown great success in many computer vis...
One of the main drawbacks of deep Convolutional Neural Networks (DCNN) i...
Exploration-exploitation dilemma has long been a crucial issue in
reinfo...
Computed Tomography (CT) takes X-ray measurements on the subjects to
rec...
Real artificial intelligence always has been focused on by many machine
...
Although a video is effectively a sequence of images, visual perception
...
There are many different ways in which external information might be use...
In reinforcement learning, Return, which is the weighted accumulated fut...
Conservation laws are considered to be fundamental laws of nature. It ha...