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Finding epic moments in live content through deep learning on collective decisions
Live streaming services enable the audience to interact with one another and the streamer over live content. The surging popularity of live streaming...
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Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100
This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a...
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Coordinated Network Attacks on Microgrid Dispatch Function: An EPIC Case Study
Communication network dependencies for microgrid’s operations increases cybersecurity risks, where vulnerabilities found in communication protocols...
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EPIC: A Proposed Model for Approaching Metadata Improvement
This paper outlines iterative steps involved in metadata improvement within a digital library: Evaluate, Prioritize, Identify, and Correct (EPIC)....
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LGAFormer: transformer with local and global attention for action detection
Temporal action detection is a very important task in video understanding, aiming at predicting the start and end time boundaries of all action...
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A deformable convolutional time-series prediction network with extreme peak and interval calibration
Deep modeling and analysis of human big data deepens our understanding of human activities. Periodic time-series signals, e.g., electrocardiographs,...
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On understanding and predicting issue links
Stakeholders in software projects use issue trackers like JIRA or Bugzilla to capture and manage issues, including requirements, feature requests,...
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A dictionary based model for bengali document classification
Computer-aided documented content analysis is a prominent research area in natural language processing . A realistic implementation of this task is...
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A Refinement-Based Narrative Model for Escape Games
This paper presents a model for comparing narratives in digital and non-digital escape games. The live-action escape room is a massive industry, but...
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Weakly supervised action anticipation without object annotations
Anticipating future actions without observing any partial videos of future actions plays an important role in action prediction and is also a...
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An efficient eavesdrop** model for detection of advanced persistent threat (APT) in high volume network traffic
Eavesdrop**, commonly referred to as network analysis, is the process of gathering data traffic. To check if attackers are sneaking into a network,...
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Construction of Precision Medical Model Based on Electronic Medical Records
As an emerging research hot spot, precision medicine makes good use of electronic medical record data information to promote the development and...
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BRMR: TAL Based on Boundary Refinement and Multi-scale Regression
Transformer based networks have been widely used in Temporal Action Localization (TAL). An example of this is the previous state of the art method...
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LCMV: Lightweight Classification Module for Video Domain Adaptation
Video action recognition models exhibit high performance on in-distribution data but struggle with distribution shifts in test data. To mitigate this...
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Modeling and prediction of KSE – 100 index closing based on news sentiments: an applications of machine learning model and ARMA (p, q) model
The main financial markets of every country are stock exchange and consider as an imperative cause for the corporations to increase capital. The...
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FAS-Incept-HR: a fully automated system based on optimized inception model for hypertensive retinopathy classification
Hypertensive retinopathy (HR) is a well-known eye disease that is caused by high blood pressure (hypertension). In this illness, symptoms typically...
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Towards automatic question generation using pre-trained model in academic field for Bahasa Indonesia
Exam evaluations are essential to assessing students’ knowledge and progress in a subject or course. To meet learning objectives and assess student...
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Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
Egocentric videos offer fine-grained information for high-fidelity modeling of human behaviors. Hands and interacting objects are one crucial aspect...
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The Tension between National and Local Concerns in Preparing for Large-Scale Generic Systems in Healthcare
Large-scale generic systems are typically adapted to local practice through configuration. This is especially important in healthcare, which involves...
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Generative Adversarial Network for Future Hand Segmentation from Egocentric Video
We introduce the novel problem of anticipating a time series of future hand masks from egocentric video. A key challenge is to model the...