DiffusionVID: Denoising Object Boxes With Spatio–Temporal Conditioning for Video Object Detection
Several existing still image object detectors suffer from image deterioration in videos, such as motion blur, camera defocus, and partial occlusion. We present DiffusionVID, a diffusion model-based video object detector that exploits spatio-temporal ...
Si-Dong Roh, Ki-Seok Chung
doaj +1 more source
Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani +8 more
wiley +1 more source
UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video
Few object detection methods exist which can resolve small objects (
Wesley T. Honeycutt, Eli S. Bridge
doaj +1 more source
High efficiency compression for object detection
Image and video compression has traditionally been tailored to human vision. However, modern applications such as visual analytics and surveillance rely on computers seeing and analyzing the images before (or instead of) humans.
Bajic, Ivan V., Choi, Hyomin
core +1 more source
Object-aware Feature Aggregation for Video Object Detection
We present an Object-aware Feature Aggregation (OFA) module for video object detection (VID). Our approach is motivated by the intriguing property that video-level object-aware knowledge can be employed as a powerful semantic prior to help object recognition.
Geng, Qichuan +5 more
openaire +2 more sources
Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source
Filtering Empty Video Frames for Efficient Real-Time Object Detection
Deep learning models have significantly improved object detection, which is essential for visual sensing. However, their increasing complexity results in higher latency and resource consumption, making real-time object detection challenging.
Yu Liu, Kyoung-Don Kang
doaj +1 more source
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
Data-driven saliency detection has attracted strong interest as a result of applying convolutional neural networks to the detection of eye fixations. Although a number of imagebased salient object and fixation detection models have been proposed, video ...
Hu, QinGhua +4 more
core +1 more source
Green Video Camouflaged Object Detection
Comment: Accepted to 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Wang, Xinyu +5 more
openaire +2 more sources
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source

