Search Results for author:
Found 7 papers, 4 papers with code
Enhancing 3D-Air Signature by Pen Tip Tail Trajectory Awareness: Dataset and Featuring by Novel Spatio-temporal CNN
We proposed SliT-CNN, a novel 2D spatial-temporal convolutional neural network (CNN) for better featuring of the air signature.
Recent Advancement in 3D Biometrics using Monocular Camera
Recent literature has witnessed significant interest towards 3D biometrics employing monocular vision for robust authentication methods.
GeoChat: Grounded Large Vision-Language Model for Remote Sensing
Furthermore, the lack of domain-specific multimodal instruction following data as well as strong backbone models for RS make it hard for the models to align their behavior with user queries.
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
We explore the appropriate SSL tasks that can be optimized alongside the primary task, the training schemes for these tasks, and the data scale at which they can be most effective.
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
This work explores various ways of exploring multi-task learning (MTL) techniques aimed at classifying videos as original or manipulated in cross-manipulation scenario to attend generalizability in deep fake scenario.
Exploring Multi-Tasking Learning in Document Attribute Classification
In this work, we adhere to explore a Multi-Tasking learning (MTL) based network to perform document attribute classification such as the font type, font size, font emphasis and scanning resolution classification of a document image.
The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices
Over the last decades, the world has been witnessing growing threats to the security in urban spaces, which has augmented the relevance given to visual surveillance solutions able to detect, track and identify persons of interest in crowds.
