Zobrazeno 1 - 10
of 11 153
pro vyhledávání: '"WANG, Hu"'
Autor:
Wang, Hu, Butler, David, Zhang, Yuan, Avery, Jodie, Knox, Steven, Ma, Congbo, Hull, Louise, Carneiro, Gustavo
Endometriosis, affecting about 10\% of individuals assigned female at birth, is challenging to diagnose and manage. Diagnosis typically involves the identification of various signs of the disease using either laparoscopic surgery or the analysis of T
Externí odkaz:
http://arxiv.org/abs/2409.02046
The detection of moving infrared dim-small targets has been a challenging and prevalent research topic. The current state-of-the-art methods are mainly based on ConvLSTM to aggregate information from adjacent frames to facilitate the detection of the
Externí odkaz:
http://arxiv.org/abs/2407.07289
The costly and time-consuming annotation process to produce large training sets for modelling semantic LiDAR segmentation methods has motivated the development of semi-supervised learning (SSL) methods. However, such SSL approaches often concentrate
Externí odkaz:
http://arxiv.org/abs/2407.07171
Audio-visual segmentation (AVS) is an emerging task that aims to accurately segment sounding objects based on audio-visual cues. The success of AVS learning systems depends on the effectiveness of cross-modal interaction. Such a requirement can be na
Externí odkaz:
http://arxiv.org/abs/2407.05358
Multi-document summarization (MDS) generates a summary from a document set. Each document in a set describes topic-relevant concepts, while per document also has its unique contents. However, the document specificity receives little attention from ex
Externí odkaz:
http://arxiv.org/abs/2406.00005
Autor:
Wang, Hu, Ma, Congbo, Liu, Yuyuan, Chen, Yuanhong, Tian, Yu, Avery, Jodie, Hull, Louise, Carneiro, Gustavo
In multi-modal learning, some modalities are more influential than others, and their absence can have a significant impact on classification/segmentation accuracy. Hence, an important research question is if it is possible for trained multi-modal mod
Externí odkaz:
http://arxiv.org/abs/2405.07155
Augmented Reality (AR) devices, emerging as prominent mobile interaction platforms, face challenges in user safety, particularly concerning oncoming vehicles. While some solutions leverage onboard camera arrays, these cameras often have limited field
Externí odkaz:
http://arxiv.org/abs/2312.08673
Integration of machine learning (ML) into the topology optimization (TO) framework is attracting increasing attention, but data acquisition in data-driven models is prohibitive. Compared with popular ML methods, the physics-informed neural network (P
Externí odkaz:
http://arxiv.org/abs/2312.06993
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention 2023 (MICCAI 2023)
The problem of missing modalities is both critical and non-trivial to be handled in multi-modal models. It is common for multi-modal tasks that certain modalities contribute more compared to other modalities, and if those important modalities are mis
Externí odkaz:
http://arxiv.org/abs/2310.01035
The Bayesian inference approach is widely used to tackle inverse problems due to its versatile and natural ability to handle ill-posedness. However, it often faces challenges when dealing with situations involving continuous fields or large-resolutio
Externí odkaz:
http://arxiv.org/abs/2308.13295