no code implementations • NAACL (TeachingNLP) 2021 • Rajkumar Saini, György Kovács, Mohamadreza Faridghasemnia, Hamam Mokayed, Oluwatosin Adewumi, Pedro Alonso, Sumit Rakesh, Marcus Liwicki
The ongoing COVID-19 pandemic has brought online education to the forefront of pedagogical discussions.
no code implementations • 22 Mar 2024 • Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi, Lama Alkhaled, Bjorn Backe, Palaiahnakote Shivakumara, Olle Hagner, Yan Chai Hum
This paper addresses the critical challenge of vehicle detection in the harsh winter conditions in the Nordic regions, characterized by heavy snowfall, reduced visibility, and low lighting.
1 code implementation • 23 Aug 2023 • Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
In this work, we introduce channel-wise l1/l2 group sparsity in the shared convolutional layers parameters (or weights) of the multi-task learning model.
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.
no code implementations • 27 Apr 2023 • Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled, Rajkumar Saini, Muhammad Zeshan Afzal, Yan Chai Hum, Marcus Liwicki
Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, etc.
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 • 8 Feb 2023 • Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki
Deep perceptual loss is a type of loss function in computer vision that aims to mimic human perception by using the deep features extracted from neural networks.
1 code implementation • 18 Oct 2022 • Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjold, Seiichi Uchida, Marcus Liwicki
This work presents a novel self-supervised representation learning method to learn efficient representations without labels on images from a 3DPM sensor (3-Dimensional Particle Measurement; estimates the particle size distribution of material) utilizing RGB images and depth maps of mining material on the conveyor belt.
1 code implementation • 13 Oct 2022 • Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
In particular, it focuses simultaneous learning of multiple tasks, an element of MTL and promptly adapting to new tasks, a quality of meta learning.
Ranked #93 on Semantic Segmentation on NYU Depth v2
1 code implementation • 15 Mar 2022 • Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
This work presents a novel self-supervised pre-training method to learn efficient representations without labels on histopathology medical images utilizing magnification factors.
Ranked #1 on Breast Cancer Histology Image Classification on BreakHis (Accuracy (Inter-Patient) metric)
Breast Cancer Histology Image Classification (20% labels) Classification Of Breast Cancer Histology Images +2
no code implementations • 23 Nov 2021 • Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Integrating knowledge across different domains is an essential feature of human learning.
no code implementations • SEMEVAL 2020 • Pedro Alonso, Rajkumar Saini, Gy{\"o}rgy Kovacs
Hate speech detection on social media platforms is crucial as it helps to avoid severe situations, and severe harm to marginalized people and groups.
1 code implementation • 8 Mar 2019 • Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki, Foteini Simistira Liwicki
We propose a Historical Document Reading Challenge on Large Chinese Structured Family Records, in short ICDAR2019 HDRC CHINESE.
no code implementations • 5 Dec 2017 • Avirup Bhattacharyya, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Samarjit Kar
Next, a face image is segmented into facial regions using landmark points and features are extracted from each region.