A survey on active deep learning: from model driven to data driven
Which samples should be labelled in a large dataset is one of the most important problems
for the training of deep learning. So far, a variety of active sample selection strategies related …
for the training of deep learning. So far, a variety of active sample selection strategies related …
Survey on deep learning in multimodal medical imaging for cancer detection
The task of multimodal cancer detection is to determine the locations and categories of
lesions by using different imaging techniques, which is one of the key research methods for …
lesions by using different imaging techniques, which is one of the key research methods for …
Motion saliency based multi-stream multiplier ResNets for action recognition
In this paper, we propose a Motion Saliency based multi-stream Multiplier ResNets (MSM-
ResNets) for action recognition. The proposed MSM-ResNets model consists of three …
ResNets) for action recognition. The proposed MSM-ResNets model consists of three …
Multi‐frame based adversarial learning approach for video surveillance
Foreground-background segmentation (FBS) is one of the prime tasks for automated video-
based applications like traffic analysis and surveillance. The different practical scenarios like …
based applications like traffic analysis and surveillance. The different practical scenarios like …
Human parsing with joint learning for dynamic mmwave radar point cloud
Human sensing and understanding is a key requirement for many intelligent systems, such
as smart monitoring, human-computer interaction, and activity analysis, etc. In this paper, we …
as smart monitoring, human-computer interaction, and activity analysis, etc. In this paper, we …
Detect occluded items in X-ray baggage inspection
B Wang, Y Tian, J Wang, J Hu, D Liu, Z Xu - Computers & Graphics, 2023 - Elsevier
X-ray baggage inspection automatically determines whether there are prohibited items in
passenger luggage and has recently achieved good progress due to the development of …
passenger luggage and has recently achieved good progress due to the development of …
3D tooth instance segmentation learning objectness and affinity in point cloud
Y Tian, Y Zhang, WG Chen, D Liu, H Wang… - ACM Transactions on …, 2022 - dl.acm.org
Digital dentistry has received more attention in the past decade. However, current deep
learning-based methods still encounter difficult challenges. The proposal-based methods …
learning-based methods still encounter difficult challenges. The proposal-based methods …
Rethinking data collection for person re-identification: active redundancy reduction
Annotating a large-scale image dataset is very tedious, yet necessary for training person re-
identification (re-ID) models. To alleviate such a problem, we present an active redundancy …
identification (re-ID) models. To alleviate such a problem, we present an active redundancy …
Heterogeneous data fusion and loss function design for tooth point cloud segmentation
D Liu, Y Tian, Y Zhang, J Gelernter, X Wang - Neural Computing and …, 2022 - Springer
Tooth point cloud segmentation plays an important role in the digital dentistry, and has
received much attention in the past decade. Recently, methods based on the graph neural …
received much attention in the past decade. Recently, methods based on the graph neural …
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
Bridge inspection is an important step in preserving and rehabilitating transportation
infrastructure for extending their service lives. The advancement of mobile robotic …
infrastructure for extending their service lives. The advancement of mobile robotic …