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2020 – today
- 2023
[c16]Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray:
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CVPR 2023: 19627-19638- [i13]Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray:
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CoRR abs/2307.03407 (2023) - 2022
- [c15]Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz:
Kernelized Few-shot Object Detection with Efficient Integral Aggregation. CVPR 2022: 19185-19194 - [c14]Shan Zhang
, Naila Murray, Lei Wang, Piotr Koniusz:
Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection. ECCV (20) 2022: 310-328 - [c13]Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray:
Dungeons and Data: A Large-Scale NetHack Dataset. NeurIPS 2022 - [i12]Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz:
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection. CoRR abs/2210.16897 (2022) - [i11]Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray:
Dungeons and Data: A Large-Scale NetHack Dataset. CoRR abs/2211.00539 (2022) - 2021
- [c12]M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR 2021: 11225-11234 - [c11]Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka:
Unsupervised Meta-Domain Adaptation for Fashion Retrieval. WACV 2021: 1347-1356 - [i10]M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CoRR abs/2103.11264 (2021) - 2020
- [j6]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): 1505-1536 (2020) - [i9]Yohann Cabon, Naila Murray, Martin Humenberger:
Virtual KITTI 2. CoRR abs/2001.10773 (2020)
2010 – 2019
- 2019
- [c10]Michal Kucer, Naila Murray:
A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. CVPR Workshops 2019: 344-353 - [c9]Naila Murray:
PFAGAN: An Aesthetics-Conditional GAN for Generating Photographic Fine Art. ICCV Workshops 2019: 3333-3341 - [i8]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 abs/1910.06699 (2019) - 2018
- [i7]Jon Almazán, Bojana Gajic, Naila Murray, Diane Larlus:
Re-ID done right: towards good practices for person re-identification. CoRR abs/1801.05339 (2018) - [i6]Saumya Jetley, Naila Murray, Eleonora Vig:
End-to-End Saliency Mapping via Probability Distribution Prediction. CoRR abs/1804.01793 (2018) - 2017
- [j5]Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman:
Interferences in Match Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1797-1810 (2017) - [i5]Naila Murray, Albert Gordo:
A deep architecture for unified aesthetic prediction. CoRR abs/1708.04890 (2017) - 2016
- [c8]Saumya Jetley, Naila Murray, Eleonora Vig:
End-to-End Saliency Mapping via Probability Distribution Prediction. CVPR 2016: 5753-5761 - [i4]Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman:
Interferences in match kernels. CoRR abs/1611.08194 (2016) - 2015
- [j4]Luca Marchesotti, Naila Murray, Florent Perronnin:
Discovering Beautiful Attributes for Aesthetic Image Analysis. Int. J. Comput. Vis. 113(3): 246-266 (2015) - [c7]Albert Gordo, Jon Almazán, Naila Murray, Florent Perronnin:
LEWIS: Latent Embeddings for Word Images and Their Semantics. ICCV 2015: 1242-1250 - [i3]Albert Gordo, Jon Almazán, Naila Murray, Florent Perronnin:
LEWIS: Latent Embeddings for Word Images and their Semantics. CoRR abs/1509.06243 (2015) - 2014
- [j3]Philippe Henri Gosselin, Naila Murray, Hervé Jégou, Florent Perronnin:
Revisiting the Fisher vector for fine-grained classification. Pattern Recognit. Lett. 49: 92-98 (2014) - [c6]Naila Murray, Florent Perronnin:
Generalized Max Pooling. CVPR 2014: 2473-2480 - [i2]Naila Murray, Florent Perronnin:
Generalized Max Pooling. CoRR abs/1406.0312 (2014) - [i1]Luca Marchesotti, Naila Murray, Florent Perronnin:
Discovering beautiful attributes for aesthetic image analysis. CoRR abs/1412.4940 (2014) - 2013
- [j2]Naila Murray, María Vanrell, Xavier Otazu, C. Alejandro Párraga:
Low-Level Spatiochromatic Grouping for Saliency Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2810-2816 (2013) - 2012
- [j1]Naila Murray, Sandra Skaff, Luca Marchesotti, Florent Perronnin:
Toward automatic and flexible concept transfer. Comput. Graph. 36(6): 622-634 (2012) - [c5]Naila Murray, Luca Marchesotti, Florent Perronnin:
Learning to rank images using semantic and aesthetic labels. BMVC 2012: 1-10 - [c4]Naila Murray, Luca Marchesotti, Florent Perronnin:
AVA: A large-scale database for aesthetic visual analysis. CVPR 2012: 2408-2415 - 2011
- [c3]María Vanrell, Naila Murray, Robert Benavente, C. Alejandro Párraga, Xavier Otazu, Ramon Baldrich:
Perception Based Representations for Computational Colour. CCIW 2011: 16-30 - [c2]Naila Murray, María Vanrell, Xavier Otazu, C. Alejandro Párraga:
Saliency estimation using a non-parametric low-level vision model. CVPR 2011: 433-440 - [c1]Naila Murray, Sandra Skaff, Luca Marchesotti, Florent Perronnin:
Towards automatic concept transfer. NPAR 2011: 167-176
Coauthor Index
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