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Found 12 papers, 0 papers with code
MaNLP@SMM4H’22: BERT for Classification of Twitter Posts
The reported work is our straightforward approach for the shared task “Classification of tweets self-reporting age” organized by the “Social Media Mining for Health Applications (SMM4H)” workshop.
Gaze-Vector Estimation in the Dark with Temporally Encoded Event-driven Neural Networks
In this paper, we address the intricate challenge of gaze vector prediction, a pivotal task with applications ranging from human-computer interaction to driver monitoring systems.
VALD-GAN: video anomaly detection using latent discriminator augmented GAN
The most crucial and difficult challenge for intelligent video surveillance is to identify anomalies in a video that comprises anomalous behavior or occurrences.
Ranked #4 on
Anomaly Detection
on UCSD Ped2
Anomaly Detection In Surveillance Videos
Video Anomaly Detection
STemGAN: spatio-temporal generative adversarial network for video anomaly detection
Automatic detection and interpretation of abnormal events have become crucial tasks in large-scale video surveillance systems.
Ranked #5 on
Anomaly Detection
on UCSD Ped2
Anomaly Detection In Surveillance Videos
Generative Adversarial Network
+3
ParaColorizer: Realistic Image Colorization using Parallel Generative Networks
Also, the images suffer from color bleeding and desaturated backgrounds since a single model trained on full image features is insufficient for learning the diverse data modes.
Convolutional Ensembling based Few-Shot Defect Detection Technique
Over the past few years, there has been a significant improvement in the domain of few-shot learning.
Evaluating Gender Bias in Hindi-English Machine Translation
The nature of gendered languages like Hindi, poses an additional problem to the quantification and mitigation of bias, owing to the change in the form of the words in the sentence, based on the gender of the subject.
Precursor of the premartensite in Ni2MnGa magnetic shape memory alloy: A pair distribution function study
Precursor phenomena observed prior to the martensite phase transition plays a critical role towards the understanding of important technological properties of shape memory and magnetic shape memory alloys (MSMAs).
Materials Science
Compressive sensing based privacy for fall detection
Fall detection holds immense importance in the field of healthcare, where timely detection allows for instant medical assistance.
Multiclass Queueing Network Modeling and Traffic Flow Analysis for SDN-enabled Mobile Core Networks with Network Slicing
The proposed model uses an architecture that has the combination of two technologies: SDN and network slicing, which empowers an administrator a flexible, programmable network, and the best management of network resources.
Co$_{2}$PtGa: A promising magnetic shape memory alloy with high martensite transition temperature
In the present work, a combined theoretical and experimental study on Co$_{2}$PtGa Heusler alloy shows that it exhibits a martensite transition around 1320 K with a small thermal hysteresis (10 K).
Materials Science
Is Stack Overflow Overflowing With Questions and Tags
We also propose a method to automate the process of reviewing the quality of questions on Stack Overflow dataset in order to avoid ballooning the stack overflow with insignificant questions.
