| Magnification prior: a self-supervised method for learning representations on breast cancer histopathological images PC Chhipa, R Upadhyay, GG Pihlgren, R Saini, S Uchida, M Liwicki Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 28 | 2023 |
| Sharing to learn and learning to share--Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review R Upadhyay, R Phlypo, R Saini, M Liwicki arXiv preprint arXiv:2111.12146, 2021 | 15 | 2021 |
| Multi-task meta learning: learn how to adapt to unseen tasks R Upadhyay, PC Chhipa, R Phlypo, R Saini, M Liwicki 2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023 | 9 | 2023 |
| Vision based static hand gesture recognition techniques A Sharrma, A Khandelwal, K Kaur, S Joshi, R Upadhyay, S Prabhu 2017 International Conference on Communication and Signal Processing (ICCSP …, 2017 | 9 | 2017 |
| Imagined object recognition using eeg-based neurological brain signals R Saini, S Prabhu, R Upadhyay, S Rakesh, PC Chippa, H Mokayed, ... International Conference on Recent Trends in Image Processing and Pattern …, 2021 | 4 | 2021 |
| Wavelet Decomposition Based Automatic Sleep Stage Classification Using EEG. N Crasto, R Upadhyay International Work-Conference on Bioinformatics and Biomedical Engineering …, 2017 | 4 | 2017 |
| Depth contrast: Self-supervised pretraining on 3dpm images for mining material classification PC Chhipa, R Upadhyay, R Saini, L Lindqvist, R Nordenskjold, S Uchida, ... European Conference on Computer Vision, 212-227, 2022 | 3 | 2022 |
| Functional Knowledge Transfer with Self-supervised Representation Learning PC Chhipa, M Chopra, G Mengi, V Gupta, R Upadhyay, MS Chippa, K De, ... 2023 IEEE International Conference on Image Processing (ICIP), 3339-3343, 2023 | 2 | 2023 |
| Emotions Classification Using EEG in Health Care S Rakesh, F Liwicki, H Mokayed, R Upadhyay, PC Chhipa, V Gupta, K De, ... Computer Vision and Machine Intelligence: Proceedings of CVMI 2022, 37-49, 2023 | 1 | 2023 |
| Investigating the Effect of Using Synthetic and Semi-synthetic Images for Historical Document Font Classification K Nikolaidou, R Upadhyay, M Seuret, M Liwicki International Workshop on Document Analysis Systems, 613-626, 2022 | 1 | 2022 |
| Less is More–Towards parsimonious multi-task models using structured sparsity R Upadhyay, R Phlypo, R Saini, M Liwicki Conference on Parsimony and Learning, 590-601, 2024 | | 2024 |
| Sharing to learn and learning to share: Fitting together metalearning and multi-task learning R Upadhyay Luleå tekniska universitet, 2023 | | 2023 |
| SignEEG v1. 0: Multimodal Electroencephalography and Signature Database for Biometric Systems AR Mishra, R Kumar, V Gupta, S Prabhu, R Upadhyay, PC Chhipa, ... bioRxiv, 2023.09. 09.556960, 2023 | | 2023 |
| Deep Neural Network approaches for Analysing Videos of Music Performances FS Liwicki, R Upadhyay, PC Chhipa, K Murphy, F Visi, S Östersjö, ... arXiv preprint arXiv:2205.11232, 2022 | | 2022 |
Marcus LiwickiLuleå University of Technology, EISLAB, Machine Learning, SwedenVerified email at ltu.se
