Naila Murray

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 21

Top Topics

Diffusion Tensor

Saliency Estimation

Hierarchical Clustering

Object Detection

Top Venues

Int. J. Comput. Vis.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CoRR (2023)
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CVPR (2023)
Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection. ECCV (20) (2022)
Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection. CoRR (2022)
Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
Dungeons and Data: A Large-Scale NetHack Dataset. NeurIPS (2022)
Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz
Kernelized Few-shot Object Detection with Efficient Integral Aggregation. CVPR (2022)
Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
Dungeons and Data: A Large-Scale NetHack Dataset. CoRR (2022)
M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CoRR (2021)
M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR (2021)
Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka
Unsupervised Meta-Domain Adaptation for Fashion Retrieval. WACV (2021)
Yohann Cabon, Naila Murray, Martin Humenberger
Virtual KITTI 2. CoRR (2020)
César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio M. López
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. Int. J. Comput. Vis. 128 (5) (2020)
Naila Murray
PFAGAN: An Aesthetics-Conditional GAN for Generating Photographic Fine Art. ICCV Workshops (2019)
Michal Kucer, Naila Murray
A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. CVPR Workshops (2019)
César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio Manuel López Peña
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. CoRR (2019)
Jon Almazán, Bojana Gajic, Naila Murray, Diane Larlus
Re-ID done right: towards good practices for person re-identification. CoRR (2018)
Saumya Jetley, Naila Murray, Eleonora Vig
End-to-End Saliency Mapping via Probability Distribution Prediction. CoRR (2018)
Naila Murray, Albert Gordo
A deep architecture for unified aesthetic prediction. CoRR (2017)
Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman
Interferences in Match Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 39 (9) (2017)
Saumya Jetley, Naila Murray, Eleonora Vig
End-to-End Saliency Mapping via Probability Distribution Prediction. CVPR (2016)
Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman
Interferences in match kernels. CoRR (2016)
Albert Gordo, Jon Almazán, Naila Murray, Florent Perronnin
LEWIS: Latent Embeddings for Word Images and their Semantics. CoRR (2015)
Luca Marchesotti, Naila Murray, Florent Perronnin
Discovering Beautiful Attributes for Aesthetic Image Analysis. Int. J. Comput. Vis. 113 (3) (2015)
Albert Gordo, Jon Almazán, Naila Murray, Florent Perronnin
LEWIS: Latent Embeddings for Word Images and Their Semantics. ICCV (2015)
Philippe Henri Gosselin, Naila Murray, Hervé Jégou, Florent Perronnin
Revisiting the Fisher vector for fine-grained classification. Pattern Recognit. Lett. 49 (2014)
Luca Marchesotti, Naila Murray, Florent Perronnin
Discovering beautiful attributes for aesthetic image analysis. CoRR (2014)
Naila Murray, Florent Perronnin
Generalized Max Pooling. CoRR (2014)
Naila Murray, Florent Perronnin
Generalized Max Pooling. CVPR (2014)
Naila Murray, María Vanrell, Xavier Otazu, C. Alejandro Párraga
Low-Level Spatiochromatic Grouping for Saliency Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 35 (11) (2013)
Naila Murray, Sandra Skaff, Luca Marchesotti, Florent Perronnin
Toward automatic and flexible concept transfer. Comput. Graph. 36 (6) (2012)
Naila Murray, Luca Marchesotti, Florent Perronnin
AVA: A large-scale database for aesthetic visual analysis. CVPR (2012)
Naila Murray, Luca Marchesotti, Florent Perronnin
Learning to rank images using semantic and aesthetic labels. BMVC (2012)
Naila Murray, Sandra Skaff, Luca Marchesotti, Florent Perronnin
Towards automatic concept transfer. NPAR (2011)
María Vanrell, Naila Murray, Robert Benavente, C. Alejandro Párraga, Xavier Otazu, Ramon Baldrich
Perception Based Representations for Computational Colour. CCIW (2011)
Naila Murray, María Vanrell, Xavier Otazu, C. Alejandro Párraga
Saliency estimation using a non-parametric low-level vision model. CVPR (2011)