Bhalaji Nagarajan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Naive Bayes Classifier

Top Venues

VISIGRAPP (5: VISAPP)

BIOSTEC (Selected Papers)

Publications

Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
Decoding class dynamics in learning with noisy labels. Pattern Recognit. Lett. 184 (2024)
Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
Precision at Scale: Domain-Specific Datasets On-Demand. CoRR (2024)
Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels. Neural Networks 172 (2024)
Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
CCLM: Class-Conditional Label Noise Modelling. IbPRIA (2023)
Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. ICCV (2023)
Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. CoRR (2023)
Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. MADiMa@MM (2023)
Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva
Deep ensemble-based hard sample mining for food recognition. J. Vis. Commun. Image Represent. 95 (2023)
Imanol González Estepa, Jesús M. Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva
Good Fences Make Good Neighbours. ICCV (Workshops) (2023)
Pablo Villacorta, Jesús M. Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasua, Bhalaji Nagarajan, Petia Radeva
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets. CoRR (2023)
Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva
Uncertainty-aware selecting for an ensemble of deep food recognition models. Comput. Biol. Medicine 146 (2022)
Nil Ballús, Bhalaji Nagarajan, Petia Radeva
Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition. IbPRIA (2022)
Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. ICIP (2022)
Bhalaji Nagarajan, Ricardo Marques, Marcos Mejia, Petia Radeva
Class-conditional Importance Weighting for Deep Learning with Noisy Labels. VISIGRAPP (5: VISAPP) (2022)
Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva
Bayesian deep learning for semantic segmentation of food images. Comput. Electr. Eng. 103 (2022)
Javier Ródenas, Bhalaji Nagarajan, Marc Bolaños, Petia Radeva
Learning Multi-Subset of Classes for Fine-Grained Food Recognition. MADiMa @ ACM Multimedia (2022)
Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. CoRR (2022)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIOSTEC (Selected Papers) (2020)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. BIODEVICES (2020)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
Uncertainty-Aware Data Augmentation for Food Recognition. ICPR (2020)
Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva
S2ML-TL Framework for Multi-label Food Recognition. ICPR Workshops (5) (2020)
Bhalaji Nagarajan, Venkata Ramana Murthy Oruganti
Group Emotion Recognition in Adverse Face Detection. FG (2019)