| Semantic-aware knowledge distillation for few-shot class-incremental learning A Cheraghian, S Rahman, P Fang, SK Roy, L Petersson, M Harandi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 279 | 2021 |
| Bilinear attention networks for person retrieval P Fang, J Zhou, SK Roy, L Petersson, M Harandi Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 198 | 2019 |
| Siamese networks: The tale of two manifolds SK Roy, M Harandi, R Nock, R Hartley Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 94 | 2019 |
| Geometry aware constrained optimization techniques for deep learning SK Roy, Z Mhammedi, M Harandi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 82 | 2018 |
| Attention in attention networks for person retrieval P Fang, J Zhou, SK Roy, P Ji, L Petersson, M Harandi IEEE transactions on pattern analysis and machine intelligence 44 (9), 4626-4641, 2021 | 43 | 2021 |
| Cross-correlated attention networks for person re-identification J Zhou, SK Roy, P Fang, M Harandi, L Petersson Image and Vision Computing 100, 103931, 2020 | 28 | 2020 |
| Human identification using linear multiclass SVM and eye movement biometrics N Srivastava, U Agrawal, SK Roy, US Tiwary 2015 Eighth International Conference on Contemporary Computing (IC3), 365-369, 2015 | 19 | 2015 |
| RMAML: Riemannian meta-learning with orthogonality constraints H Tabealhojeh, P Adibi, H Karshenas, SK Roy, M Harandi Pattern Recognition 140, 109563, 2023 | 18 | 2023 |
| On triangulation as a form of self-supervision for 3D human pose estimation SK Roy, L Citraro, S Honari, P Fua 2022 International Conference on 3D Vision (3DV), 1-10, 2022 | 17 | 2022 |
| Learning from noisy labels via discrepant collaborative training Y Han, S ROY, L Petersson, M Harandi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 15 | 2020 |
| Constrained stochastic gradient descent: The good practice SK Roy, M Harandi 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 14 | 2017 |
| K-means clustering for adaptive wavelet based image denoising U Agrawal, US Tiwary, SK Roy, DS Prashanth 2015 International Conference on Advances in Computer Engineering and …, 2015 | 6 | 2015 |
| Emotion classification from EEG signals SK Roy, C Ralekar, TK Gandhi 2016 3rd International Conference on Computing for Sustainable Global …, 2016 | 5 | 2016 |
| Echo canceller using error back propagation algorithm SK Roy, CF Rodrigues 2014 International Conference on Soft Computing and Machine Intelligence, 98-101, 2014 | 4 | 2014 |
| Learning from Noisy Labels with Contrastive Co-Transformer Y Han, SK Roy, M Harandi, L Petersson arXiv preprint arXiv:2503.03042, 2025 | 1 | 2025 |
| Vision-based power line cables and pylons detection for low flying aircraft J Gwizdała, D Oner, SK Roy, MA Shah, A Eberhard, I Egorov, P Krüsi, ... Machine Vision and Applications 36 (2), 46, 2025 | 1 | 2025 |
| FORML: A Riemannian Hessian-free Method for Meta-learning with Orthogonality Constraint H Tabealhojeh, SK Roy, P Adibi, H Karshenas arXiv preprint arXiv:2402.18605, 2024 | 1 | 2024 |
| Learning Deep Optimal Embeddings with Sinkhorn Divergences SK Roy, Y Han, M Harandi, L Petersson arXiv preprint arXiv:2209.06469, 2022 | 1 | 2022 |
| Machines that Learn with Limited or No Supervision: A Survey on Deep Learning Based Techniques S Roy, S Herath, R Nock, F Porikli | 1 | 2017 |
| Application of fuzzy sets to calculate the value of soft threshold for image denoising SK Roy, U Agrawal, B Singh 2015 2nd International Conference on Signal Processing and Integrated …, 2015 | 1 | 2015 |
Lars PeterssonSenior Principal Research Scientist, Group Leader, Data61/CSIROVerified email at data61.csiro.au
