Search Results for author:
Found 7 papers, 4 papers with code
Möbius Transform for Mitigating Perspective Distortions in Representation Learning
In this work, we propose mitigating perspective distortion (MPD) by employing a fine-grained parameter control on a specific family of M\"obius transform to model real-world distortion without estimating camera intrinsic and extrinsic parameters and without the need for actual distorted data.
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Detailed experiments have been conducted to study the robustness of self-supervised learning methods on distribution shifts and image corruptions.
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
Decoding inner speech from the brain signal via hybridisation of fMRI and EEG data is explored to investigate the performance benefits over unimodal models.
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions
This study aims to address this gap by providing the scientific community with data on vehicles captured by UAVs in different settings and under various snow cover conditions in the Nordic region.
Functional Knowledge Transfer with Self-supervised Representation Learning
This work investigates the unexplored usability of self-supervised representation learning in the direction of functional knowledge transfer.
Movie Recommendation System using Sentiment Analysis from Microblogging Data
Traditional approaches in recommendation systems include collaborative filtering and content-based filtering.
