Perception Based Representations for Computational Colour. - María Vanrell 001; Naila Murray; Robert Benavente; C. Alejandro Párraga; Xavier Otazu; Ramon Baldrich (CCIW, 2011)

Saliency estimation using a non-parametric low-level vision model. - Naila Murray; María Vanrell 001; Xavier Otazu; C. Alejandro Párraga (CVPR, 2011)

Towards automatic concept transfer. - Naila Murray; Sandra Skaff; Luca Marchesotti; Florent Perronnin (NPAR, 2011)

Learning to rank images using semantic and aesthetic labels. - Naila Murray; Luca Marchesotti; Florent Perronnin (BMVC, 2012)

AVA: A large-scale database for aesthetic visual analysis. - Naila Murray; Luca Marchesotti; Florent Perronnin (CVPR, 2012)

Toward automatic and flexible concept transfer. - Naila Murray; Sandra Skaff; Luca Marchesotti; Florent Perronnin (Comput. Graph., 2012)

Low-Level Spatiochromatic Grouping for Saliency Estimation. - Naila Murray; María Vanrell 001; Xavier Otazu; C. Alejandro Párraga (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Generalized Max Pooling. - Naila Murray; Florent Perronnin (CVPR, 2014)

Revisiting the Fisher vector for fine-grained classification. - Philippe Henri Gosselin; Naila Murray; Hervé Jégou; Florent Perronnin (Pattern Recognit. Lett., 2014)

LEWIS: Latent Embeddings for Word Images and Their Semantics. - Albert Gordo; Jon Almazán; Naila Murray; Florent Perronnin (ICCV, 2015)

Discovering Beautiful Attributes for Aesthetic Image Analysis. - Luca Marchesotti; Naila Murray; Florent Perronnin (Int. J. Comput. Vis., 2015)

End-to-End Saliency Mapping via Probability Distribution Prediction. - Saumya Jetley; Naila Murray; Eleonora Vig (CVPR, 2016)

A deep architecture for unified aesthetic prediction. - Naila Murray; Albert Gordo (CoRR, 2017)

Interferences in Match Kernels. - Naila Murray; Hervé Jégou; Florent Perronnin; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Re-ID done right: towards good practices for person re-identification. - Jon Almazán; Bojana Gajic; Naila Murray; Diane Larlus (CoRR, 2018)

A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. - Michal Kucer; Naila Murray (CVPR Workshops, 2019)

PFAGAN: An Aesthetics-Conditional GAN for Generating Photographic Fine Art. - Naila Murray (ICCV Workshops, 2019)

Virtual KITTI 2. - Yohann Cabon; Naila Murray; Martin Humenberger (CoRR, 2020)

Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. - César Roberto de Souza; Adrien Gaidon; Yohann Cabon; Naila Murray; Antonio M. López 001 (Int. J. Comput. Vis., 2020)

Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. - M. Saquib Sarfraz; Naila Murray; Vivek Sharma 001; Ali Diba; Luc Van Gool; Rainer Stiefelhagen (CVPR, 2021)

Unsupervised Meta-Domain Adaptation for Fashion Retrieval. - Vivek Sharma 001; Naila Murray; Diane Larlus; M. Saquib Sarfraz; Rainer Stiefelhagen; Gabriela Csurka (WACV, 2021)

Kernelized Few-shot Object Detection with Efficient Integral Aggregation. - Shan Zhang 002; Lei Wang 001; Naila Murray; Piotr Koniusz (CVPR, 2022)

Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection. - Shan Zhang 002; Naila Murray; Lei Wang 001; Piotr Koniusz (ECCV (20), 2022)

Dungeons and Data: A Large-Scale NetHack Dataset. - Eric Hambro; Roberta Raileanu; Danielle Rothermel; Vegard Mella; Tim Rocktäschel; Heinrich Küttler; Naila Murray (NeurIPS, 2022)

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. - Dahyun Kang; Piotr Koniusz; Minsu Cho; Naila Murray (CVPR, 2023)

Inference-time sparse attention with asymmetric indexing. - Pierre-Emmanuel Mazaré; Gergely Szilvasy; Maria Lomeli; Francisco Massa; Naila Murray; Hervé Jégou; Matthijs Douze (CoRR, 2025)