Naila Murray - RankMe

39 papers A* 9A 2Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Language Modeling: An Exploration of Multimodal Pretraining. CoRR Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie
2025	J	`jnl`	CWM: An Open-Weights LLM for Research on Code Generation with World Models. CoRR FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram H. Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter W. O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve
2025	J	`jnl`	Inference-time sparse attention with asymmetric indexing. CoRR Pierre-Emmanuel Mazaré, Gergely Szilvasy, Maria Lomeli, Francisco Massa, Naila Murray, Hervé Jégou, Matthijs Douze
2025	J	`jnl`	Verifying Chain-of-Thought Reasoning via Its Computational Graph. CoRR Zheng Zhao, Yeskendir Koishekenov, Xianjun Yang, Naila Murray, Nicola Cancedda
2023	A*	`conf`	Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CVPR Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
2023	J	`jnl`	Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CoRR Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
2022	A*	`conf`	Dungeons and Data: A Large-Scale NetHack Dataset. NeurIPS Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
2022	J	`jnl`	Dungeons and Data: A Large-Scale NetHack Dataset. CoRR Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
2022	A*	`conf`	Kernelized Few-shot Object Detection with Efficient Integral Aggregation. CVPR Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz
2022	—	`conf`	Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection. ECCV (20) Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
2022	J	`jnl`	Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection. CoRR Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
2021	A*	`conf`	Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen
2021	J	`jnl`	Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CoRR M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen
2021	A	`conf`	Unsupervised Meta-Domain Adaptation for Fashion Retrieval. WACV Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka
2020	J	`jnl`	Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. Int. J. Comput. Vis. César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio M. López
2020	J	`jnl`	Virtual KITTI 2. CoRR Yohann Cabon, Naila Murray, Martin Humenberger
2019	—	`conf`	A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. CVPR Workshops Michal Kucer, Naila Murray
2019	J	`jnl`	Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. CoRR César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio Manuel López Peña
2019	—	`conf`	PFAGAN: An Aesthetics-Conditional GAN for Generating Photographic Fine Art. ICCV Workshops Naila Murray
2018	J	`jnl`	End-to-End Saliency Mapping via Probability Distribution Prediction. CoRR Saumya Jetley, Naila Murray, Eleonora Vig
2018	J	`jnl`	Re-ID done right: towards good practices for person re-identification. CoRR Jon Almazán, Bojana Gajic, Naila Murray, Diane Larlus
2017	J	`jnl`	A deep architecture for unified aesthetic prediction. CoRR Naila Murray, Albert Gordo
2017	J	`jnl`	Interferences in Match Kernels. IEEE Trans. Pattern Anal. Mach. Intell. Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman
2016	A*	`conf`	End-to-End Saliency Mapping via Probability Distribution Prediction. CVPR Saumya Jetley, Naila Murray, Eleonora Vig
2016	J	`jnl`	Interferences in match kernels. CoRR Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman
2015	J	`jnl`	Discovering Beautiful Attributes for Aesthetic Image Analysis. Int. J. Comput. Vis. Luca Marchesotti, Naila Murray, Florent Perronnin
2015	A*	`conf`	LEWIS: Latent Embeddings for Word Images and Their Semantics. ICCV Albert Gordo, Jon Almazán, Naila Murray, Florent Perronnin
2015	J	`jnl`	LEWIS: Latent Embeddings for Word Images and their Semantics. CoRR Albert Gordo, Jon Almazán, Naila Murray, Florent Perronnin
2014	J	`jnl`	Discovering beautiful attributes for aesthetic image analysis. CoRR Luca Marchesotti, Naila Murray, Florent Perronnin
2014	A*	`conf`	Generalized Max Pooling. CVPR Naila Murray, Florent Perronnin
2014	J	`jnl`	Generalized Max Pooling. CoRR Naila Murray, Florent Perronnin
2014	J	`jnl`	Revisiting the Fisher vector for fine-grained classification. Pattern Recognit. Lett. Philippe Henri Gosselin, Naila Murray, Hervé Jégou, Florent Perronnin
2013	J	`jnl`	Low-Level Spatiochromatic Grouping for Saliency Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Naila Murray, María Vanrell, Xavier Otazu, C. Alejandro Párraga
2012	A*	`conf`	AVA: A large-scale database for aesthetic visual analysis. CVPR Naila Murray, Luca Marchesotti, Florent Perronnin
2012	A	`conf`	Learning to rank images using semantic and aesthetic labels. BMVC Naila Murray, Luca Marchesotti, Florent Perronnin
2012	J	`jnl`	Toward automatic and flexible concept transfer. Comput. Graph. Naila Murray, Sandra Skaff, Luca Marchesotti, Florent Perronnin
2011	—	`conf`	Perception Based Representations for Computational Colour. CCIW María Vanrell, Naila Murray, Robert Benavente, C. Alejandro Párraga, Xavier Otazu, Ramon Baldrich
2011	A*	`conf`	Saliency estimation using a non-parametric low-level vision model. CVPR Naila Murray, María Vanrell, Xavier Otazu, C. Alejandro Párraga
2011	—	`conf`	Towards automatic concept transfer. NPAR Naila Murray, Sandra Skaff, Luca Marchesotti, Florent Perronnin