Group Emotion Recognition in Adverse Face Detection. - Bhalaji Nagarajan; Venkata Ramana Murthy Oruganti (FG, 2019)

Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. - Eduardo Aguilar 001; Bhalaji Nagarajan; Rupali Khatun; Marc Bolaños; Petia Radeva (BIOSTEC, 2020)

Uncertainty-Aware Data Augmentation for Food Recognition. - Eduardo Aguilar 001; Bhalaji Nagarajan; Rupali Khatun; Marc Bolaños; Petia Radeva (ICPR, 2020)

S2ML-TL Framework for Multi-label Food Recognition. - Bhalaji Nagarajan; Eduardo Aguilar 001; Petia Radeva (ICPR Workshops (5), 2020)

Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition. - Nil Ballús; Bhalaji Nagarajan; Petia Radeva (IbPRIA, 2022)

Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. - Guillem Martinez; Maya Aghaei; Martin Dijkstra; Bhalaji Nagarajan; Femke Jaarsma; Jaap van de Loosdrecht; Petia Radeva; Klaas Dijkstra (ICIP, 2022)

Learning Multi-Subset of Classes for Fine-Grained Food Recognition. - Javier Ródenas; Bhalaji Nagarajan; Marc Bolaños; Petia Radeva (MADiMa @ ACM Multimedia, 2022)

Class-conditional Importance Weighting for Deep Learning with Noisy Labels. - Bhalaji Nagarajan; Ricardo Marques; Marcos Mejia; Petia Radeva (VISIGRAPP (5: VISAPP), 2022)

Uncertainty-aware selecting for an ensemble of deep food recognition models. - Eduardo Aguilar 001; Bhalaji Nagarajan; Petia Radeva (Comput. Biol. Medicine, 2022)

Bayesian deep learning for semantic segmentation of food images. - Eduardo Aguilar 001; Bhalaji Nagarajan; Beatriz Remeseiro; Petia Radeva (Comput. Electr. Eng., 2022)

CCLM: Class-Conditional Label Noise Modelling. - Albert Tatjer; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva (IbPRIA, 2023)

All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. - Imanol G. Estepa; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (ICCV, 2023)

Good Fences Make Good Neighbours. - Imanol González Estepa; Jesús M. Rodríguez-de-Vera; Bhalaji Nagarajan; Petia Radeva (ICCV (Workshops), 2023)

Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. - Jesús M. Rodríguez-de-Vera; Pablo Villacorta; Imanol G. Estepa; Marc Bolaños; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (MADiMa@MM, 2023)

ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets. - Pablo Villacorta; Jesús M. Rodríguez-de-Vera; Marc Bolaños; Ignacio Sarasua; Bhalaji Nagarajan; Petia Radeva (CoRR, 2023)

Deep ensemble-based hard sample mining for food recognition. - Bhalaji Nagarajan; Marc Bolaños; Eduardo Aguilar 001; Petia Radeva (J. Vis. Commun. Image Represent., 2023)

LOFI: LOng-tailed FIne-Grained Network for Food Recognition. - Jesús M. Rodríguez-de-Vera; Imanol G. Estepa; Marc Bolaños; Bhalaji Nagarajan; Petia Radeva (CVPR Workshops, 2024)

Precision at Scale: Domain-Specific Datasets On-Demand. - Jesús M. Rodríguez-de-Vera; Imanol G. Estepa; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (CoRR, 2024)

Bayesian DivideMix++ for Enhanced Learning with Noisy Labels. - Bhalaji Nagarajan; Ricardo Marques; Eduardo Aguilar 001; Petia Radeva (Neural Networks, 2024)

Decoding class dynamics in learning with noisy labels. - Albert Tatjer; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva (Pattern Recognit. Lett., 2024)

Adaptive Vision-Language Prompt Learners for Learning with Noisy Labels. - Changhui Hu 004; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva (J. Vis. Commun. Image Represent., 2025)

Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis. - Imanol G. Estepa; Jesús M. Rodríguez-de-Vera; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (CoRR, 2025)