Bhalaji Nagarajan

27 papers A* 1B 3Misc 2Journal 13Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Precision at scale: Domain-specific datasets on-demand.
Pattern Recognit.
Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
2025 J jnl
Adaptive Vision-Language Prompt Learners for Learning with Noisy Labels.
J. Vis. Commun. Image Represent.
Changhui Hu, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
2025 J jnl
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis.
CoRR
Imanol G. Estepa, Jesús M. Rodríguez-de-Vera, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
2025 J jnl
LAND: Lung and Nodule Diffusion for 3D Chest CT Synthesis with Anatomical Guidance.
CoRR
Anna Oliveras, Roger Marí, Rafael Redondo, Oriol Guardià, Ana Tost, Bhalaji Nagarajan, Carolina Migliorelli, Vicent J. Ribas, Petia Radeva
2024 J jnl
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels.
Neural Networks
Bhalaji Nagarajan, Ricardo Marques, Eduardo Aguilar, Petia Radeva
2024 J jnl
Decoding class dynamics in learning with noisy labels.
Pattern Recognit. Lett.
Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
2024 — conf
LOFI: LOng-tailed FIne-Grained Network for Food Recognition.
CVPR Workshops
Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Marc Bolaños, Bhalaji Nagarajan, Petia Radeva
2024 J jnl
Precision at Scale: Domain-Specific Datasets On-Demand.
CoRR
Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
2023 A* conf
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction.
ICCV
Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
2023 J jnl
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction.
CoRR
Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
2023 Misc conf
CCLM: Class-Conditional Label Noise Modelling.
IbPRIA
Albert Tatjer, Bhalaji Nagarajan, Ricardo Marques, Petia Radeva
2023 J jnl
Deep ensemble-based hard sample mining for food recognition.
J. Vis. Commun. Image Represent.
Bhalaji Nagarajan, Marc Bolaños, Eduardo Aguilar, Petia Radeva
2023 — conf
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition.
MADiMa@MM
Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
2023 J jnl
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets.
CoRR
Pablo Villacorta, Jesús M. Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasua, Bhalaji Nagarajan, Petia Radeva
2023 — conf
Good Fences Make Good Neighbours.
ICCV (Workshops)
Imanol González Estepa, Jesús M. Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva
2022 J jnl
Bayesian deep learning for semantic segmentation of food images.
Comput. Electr. Eng.
Eduardo Aguilar, Bhalaji Nagarajan, Beatriz Remeseiro, Petia Radeva
2022 — conf
Class-conditional Importance Weighting for Deep Learning with Noisy Labels.
VISIGRAPP (5: VISAPP)
Bhalaji Nagarajan, Ricardo Marques, Marcos Mejia, Petia Radeva
2022 B conf
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation.
ICIP
Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra
2022 J jnl
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation.
CoRR
Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra
2022 — conf
Learning Multi-Subset of Classes for Fine-Grained Food Recognition.
MADiMa @ ACM Multimedia
Javier Ródenas, Bhalaji Nagarajan, Marc Bolaños, Petia Radeva
2022 Misc conf
Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition.
IbPRIA
Nil Ballús, Bhalaji Nagarajan, Petia Radeva
2022 J jnl
Uncertainty-aware selecting for an ensemble of deep food recognition models.
Comput. Biol. Medicine
Eduardo Aguilar, Bhalaji Nagarajan, Petia Radeva
2020 — conf
S2ML-TL Framework for Multi-label Food Recognition.
ICPR Workshops (5)
Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva
2020 — conf
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis.
BIOSTEC
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
2020 — conf
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis.
BIOSTEC (Selected Papers)
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
2020 B conf
Uncertainty-Aware Data Augmentation for Food Recognition.
ICPR
Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaños, Petia Radeva
2019 B conf
Group Emotion Recognition in Adverse Face Detection.
FG
Bhalaji Nagarajan, Venkata Ramana Murthy Oruganti