Results 81 to 90 of about 14,796 (293)

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

A survey of deep facial landmark detection [PDF]

, 2018
International audienceFacial landmark detection plays a very important role in many facial analysis applications such as identity recognition, facial expression analysis, facial animation, 3D face reconstruction as well as facial beautification. With the
Duffner, Stefan, Naturel, Xavier, Blanc, Christophe, Garcia, Christophe, Yan, Yongzhe, Chateau, Thierry   +5 more
core   +2 more sources

A Semi-automatic Methodology for Facial Landmark Annotation [PDF]

2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013
Developing powerful deformable face models requires massive, annotated face databases on which techniques can be trained, validated and tested. Manual annotation of each facial image in terms of landmarks requires a trained expert and the workload is usually enormous. Fatigue is one of the reasons that in some cases annotations are inaccurate.
Sagonas, C., Pantic, M, Zafeiriou, S., Tzimiropoulos, Georgios   +3 more
openaire   +2 more sources

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Head Pose Estimation in the Wild Assisted by Facial Landmarks Based on Convolutional Neural Networks

IEEE Access, 2019
Convolutional neural networks (CNNs) exhibit excellent performance on the head pose estimation problem under controllable conditions, but their generalization ability in the wild needs to be improved.
Jiahao Xia, Libo Cao, Guanjun Zhang, Jiacai Liao   +3 more
doaj   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

A Brain‐Penetrant Nanobody Reveals GSK3β‐Driven Proline‐Directed Phosphorylation as a Master Regulator of Ischemic Neurodegeneration

Advanced Science, EarlyView.
A brain‐targeted nanoparticle enables delivery of a therapeutic nanobody (Nb.29E9) that inhibits pathogenic GSK3β signaling. This intervention restores AMPK/mTORC1/TGFβ homeostasis, attenuates neuroinflammation and oxidative stress, and promotes long‐term functional recovery after ischemic stroke.
Lan Li, Muyang Li, Lei Sun, Ying Yang, Yuanshun Wu, Ziyi Yin, Anni Wang, Peiyang Zhou, Shaoxiang Luo, Jian Chen, Jun Qin, Zhibing Ai, Zilong Yuan, Zhiqiang Dong, Min Zhang   +14 more
wiley   +1 more source

Failure Detection for Facial Landmark Detectors

CoRR, 2016
Most face applications depend heavily on the accuracy of the face and facial landmarks detectors employed. Prediction of attributes such as gender, age, and identity usually completely fail when the faces are badly aligned due to inaccurate facial landmark detection.
Andreas Steger, Radu Timofte, Luc Van Gool   +2 more
openaire   +2 more sources

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

Advanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen, Yi Zhong, Laura Dangel, Sonia Youhanna, Reza Zandi Shafagh, Jinhye Ryu, Domnica‐Gabriela Gurau, Mathias Haag, Thomas E. Mürdter, Yingxin Liang, Iro Beligiani, Nicole Ziegler, Sabine Willems, Nayere Taebnia, Wouter van der Wijngaart, Volker M. Lauschke   +15 more
wiley   +1 more source

Soft Facial Landmark Detection by Label Distribution Learning [PDF]

, 2019
Most existing facial landmark detection algorithms regard the manually annotated landmarks as precise hard labels, therefore, the accurate annotated landmarks are essential to the training of these algorithms.
Su, Kai, Geng, Xin
core   +1 more source