Localization and indoor navigation for visually impaired using bluetooth low energy B Nagarajan, V Shanmugam, V Ananthanarayanan, ... Smart Systems and IoT: Innovations in Computing: Proceeding of SSIC 2019 …, 2020 | 23 | 2020 |
Cross-domain transfer learning for complex emotion recognition B Nagarajan, VRM Oruganti 2019 IEEE Region 10 Symposium (TENSYMP), 649-653, 2019 | 15 | 2019 |
Bayesian deep learning for semantic segmentation of food images E Aguilar, B Nagarajan, B Remeseiro, P Radeva Computers and Electrical Engineering 103, 108380, 2022 | 13 | 2022 |
Learning multi-subset of classes for fine-grained food recognition J Ródenas, B Nagarajan, M Bolaños, P Radeva Proceedings of the 7th International Workshop on Multimedia Assisted Dietary …, 2022 | 12 | 2022 |
Group Emotion Recognition in Adverse Face Detection B Nagarajan, VRM Oruganti 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 10 | 2019 |
Uncertainty modeling and deep learning applied to food image analysis E Aguilar, B Nagarajan, R Khatun, M Bolaños, P Radeva International Joint Conference on Biomedical Engineering Systems and …, 2020 | 9 | 2020 |
Uncertainty-aware data augmentation for food recognition E Aguilar, B Nagarajan, R Khantun, M Bolaños, P Radeva 2020 25th International Conference on Pattern Recognition (ICPR), 4017-4024, 2021 | 8 | 2021 |
Bayesian DivideMix++ for enhanced learning with noisy labels B Nagarajan, R Marques, E Aguilar, P Radeva Neural Networks, 106122, 2024 | 7 | 2024 |
Uncertainty-aware selecting for an ensemble of deep food recognition models E Aguilar, B Nagarajan, P Radeva Computers in Biology and Medicine 146, 105645, 2022 | 6 | 2022 |
Nutritional monitoring in older people prevention services B Nagarajan, R Khatun, M Bolaños, E Aguilar, L Angelini, M El Kamali, ... Digital Health Technology for Better Aging: a multidisciplinary approach, 77-102, 2021 | 6 | 2021 |
Deep net features for complex emotion recognition B Nagarajan, V Oruganti arXiv preprint arXiv:1811.00003, 2018 | 6 | 2018 |
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition JM Rodríguez-de-Vera, P Villacorta, IG Estepa, M Bolaños, I Sarasúa, ... Proceedings of the 8th International Workshop on Multimedia Assisted Dietary …, 2023 | 3 | 2023 |
All4one: Symbiotic neighbour contrastive learning via self-attention and redundancy reduction IG Estepa, I Sarasúa, B Nagarajan, P Radeva Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition N Ballús, B Nagarajan, P Radeva Iberian Conference on Pattern Recognition and Image Analysis, 655-666, 2022 | 3 | 2022 |
Class-conditional Importance Weighting for Deep Learning with Noisy Labels B Nagarajan, R Marques, M Mejia, P Radeva 17th International Joint Conference on Computer Vision, Imaging and Computer …, 2022 | 3 | 2022 |
Deep ensemble-based hard sample mining for food recognition B Nagarajan, M Bolaños, E Aguilar, P Radeva Journal of Visual Communication and Image Representation 95, 103905, 2023 | 2 | 2023 |
CCLM: Class-Conditional Label Noise Modelling A Tatjer, B Nagarajan, R Marques, P Radeva Iberian Conference on Pattern Recognition and Image Analysis, 3-14, 2023 | 2 | 2023 |
Elfis: Expert learning for fine-grained image recognition using subsets P Villacorta, JM Rodríguez-de-Vera, M Bolaños, I Sarasúa, B Nagarajan, ... arXiv preprint arXiv:2303.09269, 2023 | 2 | 2023 |
S2ML-TL Framework for Multi-label Food Recognition B Nagarajan, E Aguilar, P Radeva ICPR Workshops (5), 629-646, 2020 | 2 | 2020 |
Deep Learning as Feature Encoding for Emotion Recognition B Nagarajan, V Oruganti arXiv preprint arXiv:1810.12613, 2018 | 2 | 2018 |