1 code implementation • 31 Jul 2023 • Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki
Detailed experiments have been conducted to study the robustness of self-supervised learning methods on distribution shifts and image corruptions.
no code implementations • 19 Jun 2023 • Holly Wilson, Scott Wellington, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Eriksson, Oliver Watts, Xi Chen, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
Decoding inner speech from the brain signal via hybridisation of fMRI and EEG data is explored to investigate the performance benefits over unimodal models.
1 code implementation • 27 Apr 2023 • Hamam Mokayed, Amirhossein Nayebiastaneh, Kanjar De, Stergios Sozos, Olle Hagner, Bjorn Backe
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.
1 code implementation • 12 Mar 2023 • Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
This work investigates the unexplored usability of self-supervised representation learning in the direction of functional knowledge transfer.
1 code implementation • 27 Nov 2018 • Sudhanshu Kumar, Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy
Traditional approaches in recommendation systems include collaborative filtering and content-based filtering.
no code implementations • 27 Nov 2018 • Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy
Colours are everywhere.