Results 21 to 30 of about 1,145,262 (318)
Correlation Filter (CF) based trackers have demonstrated superior performance to many complex scenes in smart and autonomous systems, but similar object interference is still a challenge.
Guokai Shi +4 more
doaj +1 more source
Deep Auxiliary Learning for Point Cloud Generation
Generation point cloud from single image is a classical problem in computer vision. The learning methods for this task often adopt local distance metrics as loss function, which means the generated points are not easy to meet the overall shape ...
Fei Hu +4 more
doaj +1 more source
Coarse-to-Fine Adaptive People Detection for Video Sequences by Maximizing Mutual Information †
Applying people detectors to unseen data is challenging since patterns distributions, such as viewpoints, motion, poses, backgrounds, occlusions and people sizes, may significantly differ from the ones of the training dataset. In this paper, we propose a
Álvaro García-Martín +2 more
doaj +1 more source
Adaptive and Complementary Correlation Filter With Dynamic Contextual Constraints
Correlation filter-based trackers have gained more and more attention because of their great performances and relative high tracking speeds. However, this kind of trackers may suffer model drifting due to learning limited background information during ...
Fan Wu +4 more
doaj +1 more source
Analytical Model and Feedback Predictor Optimization for Combined Early-HARQ and HARQ
In order to fulfill the stringent Ultra-Reliable Low Latency Communication (URLLC) requirements towards Fifth Generation (5G) mobile networks, early-Hybrid Automatic Repeat reQuest (e-HARQ) schemes have been introduced, aimed at providing faster feedback
Tatiana Rykova +4 more
doaj +1 more source
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher +8 more
wiley +1 more source
Sparse Weighted Constrained Energy Minimization for Accurate Remote Sensing Image Target Detection
Target detection is an important task for remote sensing images, while it is still difficult to obtain satisfied performance when some images possess complex and confusion spectrum information, for example, the high similarity between target and ...
Ying Wang, Miao Fan, Jie Li, Zhaobin Cui
doaj +1 more source
HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto +13 more
wiley +1 more source
FusionRCNN: LiDAR-Camera Fusion for Two-Stage 3D Object Detection
Accurate and reliable perception systems are essential for autonomous driving and robotics. To achieve this, 3D object detection with multi-sensors is necessary.
Xinli Xu +7 more
doaj +1 more source
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source

