Search Results for author:
Found 13 papers, 3 papers with code
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
Our framework leverages both labeled and unlabelled data to robustly learn action representations in videos, combining pseudo-labeling with contrastive learning for effective learning from both types of samples.
Action Recognition In Videos
Activity Recognition In Videos
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GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
High Dynamic Range (HDR) content (i. e., images and videos) has a broad range of applications.
HistoHDR-Net: Histogram Equalization for Single LDR to HDR Image Translation
High Dynamic Range (HDR) imaging aims to replicate the high visual quality and clarity of real-world scenes.
ArtHDR-Net: Perceptually Realistic and Accurate HDR Content Creation
High Dynamic Range (HDR) content creation has become an important topic for modern media and entertainment sectors, gaming and Augmented/Virtual Reality industries.
Computational Solar Energy -- Ensemble Learning Methods for Prediction of Solar Power Generation based on Meteorological Parameters in Eastern India
In this paper, the impact of weather parameters on solar PV power generation is estimated by several Ensemble ML (EML) models like Bagging, Boosting, Stacking, and Voting for the first time.
VacciNet: Towards a Smart Framework for Learning the Distribution Chain Optimization of Vaccines for a Pandemic
Vaccinations against viruses have always been the need of the hour since long past.
A Perspective on Robotic Telepresence and Teleoperation using Cognition: Are we there yet?
Telepresence and teleoperation robotics have attracted a great amount of attention in the last 10 years.
Data science and Machine learning in the Clouds: A Perspective for the Future
The huge amount of data to be processed under this new paradigm will be a major concern in the future and one will strongly require cloud based services in all the aspects of these computations (from storage to compute and other services).
Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions
As a result, social behavior is one of the most sought-after qualities that a robot can possess.
Approximate Computing for Robotic path planning -- Experimentation, Case Study and Practical Implications
Approximate computing is a computation domain which can be used to trade time and energy with quality and therefore is useful in embedded systems.
DeComplex: Task planning from complex natural instructions by a collocating robot
However, it is not trivial to execute the human intended tasks as natural language expressions can have large linguistic variations.
Let me join you! Real-time F-formation recognition by a socially aware robot
Our proposed pipeline consists of -- a) a skeletal key points estimator (a total of 17) for the detected human in the scene, b) a learning model (using a feature vector based on the skeletal points) using CRF to detect groups of people and outlier person in a scene, and c) a separate learning model using a multi-class Support Vector Machine (SVM) to predict the exact F-formation of the group of people in the current scene and the angle of approach for the viewing robot.
I can attend a meeting too! Towards a human-like telepresence avatar robot to attend meeting on your behalf
In this work, we focus on a telepresence robot that can be used to attend a meeting remotely with a group of people.
