Bhalaji Nagarajan

PhD student under Prof. Petia Radeva and Dr. Eduardo Aguilar, working on data-centric visual food analysis

Profile summary

"Bhalaji is a PhD student working under the supervision of Prof. Petia Radeva and Dr. Eduardo Aguilar at the University of Barcelona. His academic pursuits revolve around applying machine learning and deep learning to address social issues to enhance the quality of life for individuals. His thesis line is centered on pioneering data-centric deep learning methodologies, with a particular focus on visual food analysis. His research interests span self-supervised learning, learning with noisy labels, and uncertainty estimation.

Bhalaji received the FPI grant from the Ministry of Science and Innovation (MICINN), Spain and the FI grant (Resigned) from the University and Research Grants Management Agency (AGAUR), Catalonia. He previously held the pre-doctoral contract linked with “ICREA ACADEMIA 2014”. Prior to his doctoral studies, he held research positions at Corporate Research, Robert Bosch, India and Dept. of Electrical and Electronics Engineering, Amrita University, India. He holds a Bachelors and Masters degree in Computer Science and Engineering, both from Amrita University, India. Before starting a career in deep learning and machine learning research, he worked in various software roles across different companies."

Latest publications

Bhalaji Nagarajan has 24 publications on Google Scholar.
Only the last 20 publications are shown here. Access Bhalaji Nagarajan Google Scholar Profile

Bayesian DivideMix++ for enhanced learning with noisy labels

2024   |   Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva   |   Neural Networks, 106122, 2024

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CCLM: Class-Conditional Label Noise Modelling

2023   |   Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva   |   Iberian Conference on Pattern Recognition and Image Analysis, 3-14, 2023

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All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction

2023   |   Imanol G Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva   |   arXiv preprint arXiv:2303.09417, 2023

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ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets

2023   |   Pablo Villacorta, Jesús M Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva   |   arXiv preprint arXiv:2303.09269, 2023

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Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition

2023   |   Jesús M Rodríguez-de-Vera, Pablo Villacorta, Imanol G Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva   |   Proceedings of the 8th International Workshop on Multimedia Assisted Dietary …, 2023

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Deep ensemble-based hard sample mining for food recognition

2023   |   Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva   |   Journal of Visual Communication and Image Representation 95, 103905, 2023

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F2-Net: Feature Finding Network for Long-Tailed Fine-Grained Food Recognition

2023   |   Jesús M Rodrıguez-de-Vera, Imanol G Estepa, Marc Bolanos, Bhalaji Nagarajan, Petia Radeva

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Good Fences Make Good Neighbours

2023   |   Imanol G Estepa, Jesús Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva   |   Proceedings of the IEEE/CVF International Conference on Computer Vision, 216-226, 2023

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Bayesian deep learning for semantic segmentation of food images

2022   |   Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva   |   Computers and Electrical Engineering 103, 108380, 2022

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Learning Multi-Subset of Classes for Fine-Grained Food Recognition

2022   |   Javier Ródenas, Bhalaji Nagarajan, Marc Bolaños, Petia Radeva   |   Proceedings of the 7th International Workshop on Multimedia Assisted Dietary …, 2022

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Uncertainty-aware selecting for an ensemble of deep food recognition models

2022   |   Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva   |   Computers in Biology and Medicine 146, 105645, 2022

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Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition

2022   |   Nil Ballús, Bhalaji Nagarajan, Petia Radeva   |   Iberian Conference on Pattern Recognition and Image Analysis, 655-666, 2022

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Class-conditional Importance Weighting for Deep Learning with Noisy Labels

2022   |   Bhalaji Nagarajan, Ricardo Marques, Marcos Mejia, Petia Radeva   |   17th International Joint Conference on Computer Vision, Imaging and Computer …, 2022

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Hyper-spectral imaging for overlapping plastic flakes segmentation

2022   |   Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra   |   2022 IEEE International Conference on Image Processing (ICIP), 2331-2335, 2022

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Uncertainty-aware data augmentation for food recognition

2021   |   Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khantun, Marc Bolaños, Petia Radeva   |   2020 25th International Conference on Pattern Recognition (ICPR), 4017-4024, 2021

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Nutritional monitoring in older people prevention services

2021   |   Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Eduardo Aguilar, Leonardo Angelini, Mira El Kamali, Elena Mugellini, Omar Abou Khaled, Noemi Boqué, Lucia Tarro, Petia Radeva   |   Digital Health Technology for Better Aging: A Multidisciplinary Approach, 77-102, 2021

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Localization and indoor navigation for visually impaired using bluetooth low energy

2020   |   Bhalaji Nagarajan, Valliappan Shanmugam, V Ananthanarayanan, P Bagavathi Sivakumar   |   Smart Systems and IoT: Innovations in Computing: Proceeding of SSIC 2019 …, 2020

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Uncertainty modeling and deep learning applied to food image analysis

2020   |   Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva   |   International Joint Conference on Biomedical Engineering Systems and …, 2020

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S2ML-TL Framework for Multi-label Food Recognition

2020   |   Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva   |   ICPR Workshops (5), 629-646, 2020

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Cross-domain transfer learning for complex emotion recognition

2019   |   Bhalaji Nagarajan, V Ramana Murthy Oruganti   |   2019 IEEE Region 10 Symposium (TENSYMP), 649-653, 2019

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