Temporal modeling is key for action recognition in videos. It normally considers both short-range motions and long-range aggregations. In this paper, we propose a Excitation Aggregation (TEA) block, including motion excitation (ME) module multiple temporal aggregation (MTA) module, specifically designed to capture short- evolution. particular, modeling, the ME calculates feature-level differences from spatiotemporal features. then utilizes excite motion-sensitive channels of The aggregations...

Temporal modeling still remains challenging for action recognition in videos. To mitigate this issue, paper presents a new video architecture, termed as Difference Network (TDN), with focus on capturing multi-scale temporal information efficient recognition. The core of our TDN is to devise an module (TDM) by explicitly leveraging difference operator, and systematically assess its effect short-term long-term motion modeling. fully capture over the entire video, established two-level...

Real-time motion generation has garnered significant attention within the fields of computer animation and gaming. Existing methods typically realize control via isolated style or content labels, resulting in short, simply clips. In this paper, we propose a framework, called SPORT ("from zero-Shot Prompt tO Real-Time generation"), for generating real-time ever-changing motions using zero-shot prompts. consists three primary components: (1) body-part phase autoencoder that ensures smooth...

Synthesizing expression is essential to create realistic talking faces. Previous works consider expressions and mouth shapes as a whole predict them solely from audio inputs. However, the limited information contained in audio, such phonemes coarse emotion embedding, may not be suitable source of elaborate expressions. Besides, since are tightly coupled lip motions, generating other sources tricky always neglects performed on region, leading inconsistency between them. To tackle issues, this...

Temporal modeling is key for action recognition in videos. It normally considers both short-range motions and long-range aggregations. In this paper, we propose a Excitation Aggregation (TEA) block, including motion excitation (ME) module multiple temporal aggregation (MTA) module, specifically designed to capture short- evolution. particular, modeling, the ME calculates feature-level differences from spatiotemporal features. then utilizes excite motion-sensitive channels of The aggregations...

Early screening of autism spectrum disorder (ASD) is crucial since early intervention evidently confirms significant improvement functional social behavior in toddlers. This article attempts to bootstrap the response-to-instructions (RTIs) protocol with vision-based solutions order assist professional clinicians an automatic diagnosis. The correlation between detected objects and toddler's emotional features, such as gaze, constructed analyze their autistic symptoms. Twenty toddlers 16-32...

Charged species from complex media could be separated and enriched taking advantage of ion concentration polarization (ICP) effect; thus, ICP can used for sample purification improvement detection sensitivity. In this paper, a novel reliable interface was established on paper-based analytical device (PAD) by using exchange membrane, electrokinetic stacking target analytes salty successfully demonstrated. Steady effect well observed in aqueous solution with up to 400 mM NaCl as shown...

The effects of the pH value on electrodeposition process Fe–P alloys from a ferrous sulfate bath with sodium hypophosphite as phosphorus source are investigated. composition, structure, and magnetic properties characterized by scanning electron microscopy, transmission X-ray diffraction, energy-dispersive spectroscopy, vibrating sample magnetometry. As is varied 1.2 to 2.4, P content gradually decreases 11.42 3.34 wt % while structure changes amorphous polycrystalline structure....

In this study,

The arrival of the 5G era has opened a new interconnection everything for world. Artificial intelligence, autonomous driving, and smart cities have all reached their peaks due to advent 5G. However, network environment is becoming more complex, types cyberattacks are gradually increasing. Once device attacked, loss it brings cannot be calculated. intrusion detection system very effective measure in protecting security. In this paper, we proposed novel model based on Convolutional Neural...

Human pose imitation, which aims to generate an image with a source character's appearance, the shape, and target posture, has many potential applications in virtual reality, augmented games, movies, etc. It is incredibly challenging due non-rigid human body motions, significant variations clothing textures, self-occluded bodies 2D images. In this paper, we propose Poxture, novel posture imitation method neural texture, address challenges mentioned above. Concretely, first, build dense...

In order to avoid the impact of large-scale access distributed photovoltaic power generation on regional grid and minimize line loss, a topology optimization method under is proposed. Obtain factors related loss consumption location capacity generation, as well network structure load. Take minimum bus after objective function, take continuity, structure, relationship, node voltage, etc. constraints, build model low-voltage grid, Using k-means clustering algorithm, supply range divided into...

The significance of artistry in creating animated virtual characters is widely acknowledged, and motion style a crucial element this process. There has been long-standing interest stylizing character animations with transfer methods. However, kind models can only deal short-term motions yield deterministic outputs. To address issue, we propose generative model based on normalizing flows for long aperiodic the VR scene. Our approach breaks down task into two sub-problems: stylized generation,...

Microfluidic chip and giant magnetoimpedance (GMI)-related technology has developed quickly over the past decades in field of biological detection.In this work, we designed fabricated a GMIbased microfluidic system for screening multiplex gastric cancer biomarkers.The GMI sensor were prepared by micro-electromechanical systems (MEMS) technology.This can analyse 8 protein biomarkers simultaneously less than 25 mins offer more stable detection signal conventional enzymological or fluorescent...

Existing sentence ordering approaches generally employ encoder-decoder frameworks with the pointer net to recover coherence by recurrently predicting each step-by-step. Such an autoregressive manner only leverages unilateral dependencies during decoding and cannot fully explore semantic dependency between sentences for ordering. To overcome these limitations, in this paper, we propose a novel Non-Autoregressive Ordering Network, dubbed NAON, which explores bilateral predicts position...

Temporal modeling still remains challenging for action recognition in videos. To mitigate this issue, paper presents a new video architecture, termed as Difference Network (TDN), with focus on capturing multi-scale temporal information efficient recognition. The core of our TDN is to devise an module (TDM) by explicitly leveraging difference operator, and systematically assess its effect short-term long-term motion modeling. fully capture over the entire video, established two-level...

As large language models (LLMs) demonstrate exceptional performance across various domains, the deployment of these on edge devices has emerged as a new trend. Quantization techniques, which reduce size and memory footprint LLMs, are effective for enabling resource-constrained devices. However, existing one-size-fits-all quantization methods often fail to dynamically adjust consumption LLMs based specific hardware characteristics usage scenarios. To address this limitation, we propose LSAQ...

The screening and diagnosis of Autism Spectrum Disorder(ASD) suffer from great challenges due to insufficient professional clinicians complex procedures. It is urgent introduce an effective auxiliary system in the treatment process assist completion pathological information collection tasks, consequently simplifying method improving accuracy screening. We propose a computer vision-based early for ASD characterize facial expressions eye gaze attention which are considered remarkable...