Results 51 to 60 of about 4,899,620 (258)

Learning 3D Skeletal Representation From Transformer for Action Recognition

IEEE Access, 2022
Skeleton-based human action recognition has attracted significant interest due to its simplicity and good accuracy. Diverse end-to-end trainable frameworks based on skeletal representation have been proposed so far to map the representation to human ...
Junuk Cha, Muhammad Saqlain, Donguk Kim, Seungeun Lee, Seongyeong Lee, Seungryul Baek   +5 more
doaj   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition

, 2018
Action recognition methods enable several intelligent machines to recognize human action in their daily life videos. Indeed, many action recognition methods give a noticeable misclassification rate due to the big variations within the videos of the same ...
Abdel-Nasser, Mohamed, Miguel Angel Garcia, Saleh, Adel, Puig, Domenec, Mohamed Abdel-Nasser, García García, Miguel Ángel, Domenec Puig, Adel Saleh   +7 more
core   +1 more source

A multiviewpoint outdoor dataset for human action recognition [PDF]

, 2020
Advancements in deep neural networks have contributed to near-perfect results for many computer vision problems, such as object recognition, face recognition, and pose estimation.
Ogunwa, Titilayo T, Perera, Asanka G., Chahl, Javaan, Perera, A.G., Ogunwa, T.T., Chahl, J., Law, Yee Wei, Law, Y.W.   +7 more
core   +1 more source

Weakly supervised instance action recognition

Computational Visual Media
We study the novel problem of weakly supervised instance action recognition (WSiAR) in multi-person (crowd) scenes. We specifically aim to recognize the action of each subject in the crowd, for which we propose the use of a weakly supervised method ...
Haomin Yan, Ruize Han, Wei Feng, Jiewen Zhao, Song Wang   +4 more
doaj   +1 more source

A Review of Human Activity Recognition Methods

Frontiers in Robotics and AI, 2015
Recognizing human activities from video sequences or still images is a challenging task due to problems such as background clutter, partial occlusion, changes in scale, viewpoint, lighting, and appearance.
Michalis eVrigkas, Christophoros eNikou, Ioannis eKakadiaris   +2 more
doaj   +1 more source

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source

Human action recognition using segmented skeletal features

, 2022
S.3740-3743We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs.
Yoon, Sang Min, Kuijper, Arjan
core   +1 more source

Dilated Multi-Temporal Modeling for Action Recognition

Applied Sciences, 2023
Action recognition involves capturing temporal information from video clips where the duration varies with videos for the same action. Due to the diverse scale of temporal context, uniform size kernels utilized in convolutional neural networks (CNNs ...
Tao Zhang, Yifan Wu, Xiaoqiang Li
doaj   +1 more source

The Impact of the COVID‐19 Pandemic on Childhood Cancer Survival: A Population‐Based Assessment of Survival Patterns Between 2015 and 2023 in Germany

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann, Maike Wellbrock, Javier Louro, Arndt Borkhardt, Martin Schrappe, Claudia Trübenbach, Desiree Grabow, Cécile M. Ronckers, Joachim Schüz   +8 more
wiley   +1 more source